1 static char help[] = "Biological network from https://link.springer.com/article/10.1007/s42967-023-00297-3\n\n\n";
2
3 #include <petscts.h>
4 #include <petscsf.h>
5 #include <petscdmplex.h>
6 #include <petscdmplextransform.h>
7 #include <petscdmforest.h>
8 #include <petscviewerhdf5.h>
9 #include <petscds.h>
10
11 /*
12 Here we solve the system of PDEs on \Omega \in R^d:
13
14 * dC/dt - D^2 \Delta C - \nabla p \cross \nabla p + \alpha sqrt(||C||^2_F + eps)^(\gamma-2) C = 0
15 * - \nabla \cdot ((r + C) \nabla p) = S
16
17 where:
18 C = symmetric dxd conductivity tensor
19 p = potential
20 S = source
21
22 with natural boundary conditions on \partial\Omega:
23 \nabla C \cdot n = 0
24 \nabla ((r + C)\nabla p) \cdot n = 0
25
26 Parameters:
27 D = diffusion constant
28 \alpha = metabolic coefficient
29 \gamma = metabolic exponent
30 r, eps are regularization parameters
31
32 We use Lagrange elements for C_ij and P.
33 Equations are rescaled to obtain a symmetric Jacobian.
34 */
35
36 typedef enum _fieldidx {
37 C_FIELD_ID = 0,
38 P_FIELD_ID,
39 NUM_FIELDS
40 } FieldIdx;
41
42 typedef enum _constantidx {
43 R_ID = 0,
44 EPS_ID,
45 ALPHA_ID,
46 GAMMA_ID,
47 D_ID,
48 FIXC_ID,
49 SPLIT_ID,
50 NUM_CONSTANTS
51 } ConstantIdx;
52
53 PetscLogStage SetupStage, SolveStage;
54
55 #define NORM2C(c00, c01, c11) (PetscSqr(c00) + 2 * PetscSqr(c01) + PetscSqr(c11))
56 #define NORM2C_3d(c00, c01, c02, c11, c12, c22) (PetscSqr(c00) + 2 * PetscSqr(c01) + 2 * PetscSqr(c02) + PetscSqr(c11) + 2 * PetscSqr(c12) + PetscSqr(c22))
57
58 /* Eigenvalues real 3x3 symmetric matrix https://onlinelibrary.wiley.com/doi/full/10.1002/nme.7153 */
59 #if !PetscDefined(USE_COMPLEX)
Eigenvalues_Sym3x3(PetscReal a11,PetscReal a12,PetscReal a13,PetscReal a22,PetscReal a23,PetscReal a33,PetscReal x[3])60 static inline void Eigenvalues_Sym3x3(PetscReal a11, PetscReal a12, PetscReal a13, PetscReal a22, PetscReal a23, PetscReal a33, PetscReal x[3])
61 {
62 const PetscBool td = (PetscBool)(a13 == 0 && a23 == 0);
63 if (td) { /* two-dimensional case */
64 PetscReal a12_2 = PetscSqr(a12);
65 PetscReal delta = PetscSqr(a11 - a22) + 4 * a12_2;
66 PetscReal b = -(a11 + a22);
67 PetscReal c = a11 * a22 - a12_2;
68 PetscReal temp = -0.5 * (b + PetscCopysignReal(1.0, b) * PetscSqrtReal(delta));
69
70 x[0] = temp;
71 x[1] = c / temp;
72 x[2] = a33;
73 } else {
74 const PetscReal I1 = a11 + a22 + a33;
75 const PetscReal J2 = (PetscSqr(a11 - a22) + PetscSqr(a22 - a33) + PetscSqr(a33 - a11)) / 6 + PetscSqr(a12) + PetscSqr(a23) + PetscSqr(a13);
76 const PetscReal s = PetscSqrtReal(J2 / 3);
77 const PetscReal tol = PETSC_MACHINE_EPSILON;
78
79 if (s < tol) {
80 x[0] = x[1] = x[2] = 0.0;
81 } else {
82 const PetscReal S[] = {a11 - I1 / 3, a12, a13, a22 - I1 / 3, a23, a33 - I1 / 3};
83
84 /* T = S^2 */
85 PetscReal T[6];
86 T[0] = S[0] * S[0] + S[1] * S[1] + S[2] * S[2];
87 T[1] = S[0] * S[1] + S[1] * S[3] + S[2] * S[4];
88 T[2] = S[0] * S[2] + S[1] * S[4] + S[2] * S[5];
89 T[3] = S[1] * S[1] + S[3] * S[3] + S[4] * S[4];
90 T[4] = S[1] * S[2] + S[3] * S[4] + S[4] * S[5];
91 T[5] = S[2] * S[2] + S[4] * S[4] + S[5] * S[5];
92
93 T[0] = T[0] - 2.0 * J2 / 3.0;
94 T[3] = T[3] - 2.0 * J2 / 3.0;
95 T[5] = T[5] - 2.0 * J2 / 3.0;
96
97 const PetscReal aa = NORM2C_3d(T[0] - s * S[0], T[1] - s * S[1], T[2] - s * S[2], T[3] - s * S[3], T[4] - s * S[4], T[5] - s * S[5]);
98 const PetscReal bb = NORM2C_3d(T[0] + s * S[0], T[1] + s * S[1], T[2] + s * S[2], T[3] + s * S[3], T[4] + s * S[4], T[5] + s * S[5]);
99 const PetscReal d = PetscSqrtReal(aa / bb);
100 const PetscBool sj = (PetscBool)(1.0 - d > 0.0);
101
102 if (PetscAbsReal(1 - d) < tol) {
103 x[0] = -PetscSqrtReal(J2);
104 x[1] = 0.0;
105 x[2] = PetscSqrtReal(J2);
106 } else {
107 const PetscReal sjn = sj ? 1.0 : -1.0;
108 //const PetscReal atanarg = sj ? d : 1.0 / d;
109 //const PetscReal alpha = 2.0 * PetscAtanReal(atanarg) / 3.0;
110 const PetscReal atanval = d > tol ? 2.0 * PetscAtanReal(sj ? d : 1.0 / d) : (sj ? 0.0 : PETSC_PI);
111 const PetscReal alpha = atanval / 3.0;
112 const PetscReal cd = s * PetscCosReal(alpha) * sjn;
113 const PetscReal sd = PetscSqrtReal(J2) * PetscSinReal(alpha);
114
115 x[0] = 2 * cd;
116 x[1] = -cd + sd;
117 x[2] = -cd - sd;
118 }
119 }
120 x[0] += I1 / 3.0;
121 x[1] += I1 / 3.0;
122 x[2] += I1 / 3.0;
123 }
124 }
125 #endif
126
127 /* compute shift to make C positive definite */
FIX_C_3d(PetscScalar C00,PetscScalar C01,PetscScalar C02,PetscScalar C11,PetscScalar C12,PetscScalar C22)128 static inline PetscReal FIX_C_3d(PetscScalar C00, PetscScalar C01, PetscScalar C02, PetscScalar C11, PetscScalar C12, PetscScalar C22)
129 {
130 #if !PetscDefined(USE_COMPLEX)
131 PetscReal eigs[3], s = 0.0;
132 PetscBool twod = (PetscBool)(C02 == 0 && C12 == 0 && C22 == 0);
133 Eigenvalues_Sym3x3(C00, C01, C02, C11, C12, C22, eigs);
134 if (twod) eigs[2] = 1.0;
135 if (eigs[0] <= 0 || eigs[1] <= 0 || eigs[2] <= 0) s = -PetscMin(eigs[0], PetscMin(eigs[1], eigs[2])) + PETSC_SMALL;
136 return s;
137 #else
138 return 0.0;
139 #endif
140 }
141
FIX_C(PetscScalar C00,PetscScalar C01,PetscScalar C11)142 static inline PetscReal FIX_C(PetscScalar C00, PetscScalar C01, PetscScalar C11)
143 {
144 return FIX_C_3d(C00, C01, 0, C11, 0, 0);
145 }
146
147 /* residual for C when tested against basis functions */
C_0(PetscInt dim,PetscInt Nf,PetscInt NfAux,const PetscInt uOff[],const PetscInt uOff_x[],const PetscScalar u[],const PetscScalar u_t[],const PetscScalar u_x[],const PetscInt aOff[],const PetscInt aOff_x[],const PetscScalar a[],const PetscScalar a_t[],const PetscScalar a_x[],PetscReal t,const PetscReal x[],PetscInt numConstants,const PetscScalar constants[],PetscScalar f0[])148 static void C_0(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar f0[])
149 {
150 const PetscReal alpha = PetscRealPart(constants[ALPHA_ID]);
151 const PetscReal gamma = PetscRealPart(constants[GAMMA_ID]);
152 const PetscReal eps = PetscRealPart(constants[EPS_ID]);
153 const PetscBool split = (PetscBool)(PetscRealPart(constants[SPLIT_ID]) != 0.0);
154 const PetscScalar *gradp = split ? a_x + aOff_x[P_FIELD_ID] : u_x + uOff_x[P_FIELD_ID];
155 const PetscScalar outerp[] = {gradp[0] * gradp[0], gradp[0] * gradp[1], gradp[1] * gradp[1]};
156 const PetscScalar C00 = split ? a[aOff[C_FIELD_ID]] : u[uOff[C_FIELD_ID]];
157 const PetscScalar C01 = split ? a[aOff[C_FIELD_ID] + 1] : u[uOff[C_FIELD_ID] + 1];
158 const PetscScalar C11 = split ? a[aOff[C_FIELD_ID] + 2] : u[uOff[C_FIELD_ID] + 2];
159 const PetscScalar norm = NORM2C(C00, C01, C11) + eps;
160 const PetscScalar nexp = (gamma - 2.0) / 2.0;
161 const PetscScalar fnorm = PetscPowScalar(norm, nexp);
162 const PetscScalar eqss[] = {0.5, 1., 0.5}; /* equations rescaling for a symmetric Jacobian */
163
164 for (PetscInt k = 0; k < 3; k++) f0[k] = eqss[k] * (u_t[uOff[C_FIELD_ID] + k] - outerp[k] + alpha * fnorm * u[uOff[C_FIELD_ID] + k]);
165 }
166
167 /* 3D version */
C_0_3d(PetscInt dim,PetscInt Nf,PetscInt NfAux,const PetscInt uOff[],const PetscInt uOff_x[],const PetscScalar u[],const PetscScalar u_t[],const PetscScalar u_x[],const PetscInt aOff[],const PetscInt aOff_x[],const PetscScalar a[],const PetscScalar a_t[],const PetscScalar a_x[],PetscReal t,const PetscReal x[],PetscInt numConstants,const PetscScalar constants[],PetscScalar f0[])168 static void C_0_3d(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar f0[])
169 {
170 const PetscReal alpha = PetscRealPart(constants[ALPHA_ID]);
171 const PetscReal gamma = PetscRealPart(constants[GAMMA_ID]);
172 const PetscReal eps = PetscRealPart(constants[EPS_ID]);
173 const PetscBool split = (PetscBool)(PetscRealPart(constants[SPLIT_ID]) != 0.0);
174 const PetscScalar *gradp = split ? a_x + aOff_x[P_FIELD_ID] : u_x + uOff_x[P_FIELD_ID];
175 const PetscScalar outerp[] = {gradp[0] * gradp[0], gradp[0] * gradp[1], gradp[0] * gradp[2], gradp[1] * gradp[1], gradp[1] * gradp[2], gradp[2] * gradp[2]};
176 const PetscScalar C00 = split ? a[aOff[C_FIELD_ID]] : u[uOff[C_FIELD_ID]];
177 const PetscScalar C01 = split ? a[aOff[C_FIELD_ID] + 1] : u[uOff[C_FIELD_ID] + 1];
178 const PetscScalar C02 = split ? a[aOff[C_FIELD_ID] + 2] : u[uOff[C_FIELD_ID] + 2];
179 const PetscScalar C11 = split ? a[aOff[C_FIELD_ID] + 3] : u[uOff[C_FIELD_ID] + 3];
180 const PetscScalar C12 = split ? a[aOff[C_FIELD_ID] + 4] : u[uOff[C_FIELD_ID] + 4];
181 const PetscScalar C22 = split ? a[aOff[C_FIELD_ID] + 5] : u[uOff[C_FIELD_ID] + 5];
182 const PetscScalar norm = NORM2C_3d(C00, C01, C02, C11, C12, C22) + eps;
183 const PetscScalar nexp = (gamma - 2.0) / 2.0;
184 const PetscScalar fnorm = PetscPowScalar(norm, nexp);
185 const PetscScalar eqss[] = {0.5, 1., 1., 0.5, 1., 0.5};
186
187 for (PetscInt k = 0; k < 6; k++) f0[k] = eqss[k] * (u_t[uOff[C_FIELD_ID] + k] - outerp[k] + alpha * fnorm * u[uOff[C_FIELD_ID] + k]);
188 }
189
190 /* Jacobian for C against C basis functions */
JC_0_c0c0(PetscInt dim,PetscInt Nf,PetscInt NfAux,const PetscInt uOff[],const PetscInt uOff_x[],const PetscScalar u[],const PetscScalar u_t[],const PetscScalar u_x[],const PetscInt aOff[],const PetscInt aOff_x[],const PetscScalar a[],const PetscScalar a_t[],const PetscScalar a_x[],PetscReal t,PetscReal u_tShift,const PetscReal x[],PetscInt numConstants,const PetscScalar constants[],PetscScalar J[])191 static void JC_0_c0c0(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, PetscReal u_tShift, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar J[])
192 {
193 const PetscReal alpha = PetscRealPart(constants[ALPHA_ID]);
194 const PetscReal gamma = PetscRealPart(constants[GAMMA_ID]);
195 const PetscReal eps = PetscRealPart(constants[EPS_ID]);
196 const PetscBool split = (PetscBool)(PetscRealPart(constants[SPLIT_ID]) != 0.0);
197 const PetscScalar C00 = split ? a[aOff[C_FIELD_ID]] : u[uOff[C_FIELD_ID]];
198 const PetscScalar C01 = split ? a[aOff[C_FIELD_ID] + 1] : u[uOff[C_FIELD_ID] + 1];
199 const PetscScalar C11 = split ? a[aOff[C_FIELD_ID] + 2] : u[uOff[C_FIELD_ID] + 2];
200 const PetscScalar norm = NORM2C(C00, C01, C11) + eps;
201 const PetscScalar nexp = (gamma - 2.0) / 2.0;
202 const PetscScalar fnorm = PetscPowScalar(norm, nexp);
203 const PetscScalar dfnorm = nexp * PetscPowScalar(norm, nexp - 1.0);
204 const PetscScalar dC[] = {2 * C00, 4 * C01, 2 * C11};
205 const PetscScalar eqss[] = {0.5, 1., 0.5};
206
207 for (PetscInt k = 0; k < 3; k++) {
208 if (!split) {
209 for (PetscInt j = 0; j < 3; j++) J[k * 3 + j] = eqss[k] * (alpha * dfnorm * dC[j] * u[uOff[C_FIELD_ID] + k]);
210 }
211 J[k * 3 + k] += eqss[k] * (alpha * fnorm + u_tShift);
212 }
213 }
214
JC_0_c0c0_3d(PetscInt dim,PetscInt Nf,PetscInt NfAux,const PetscInt uOff[],const PetscInt uOff_x[],const PetscScalar u[],const PetscScalar u_t[],const PetscScalar u_x[],const PetscInt aOff[],const PetscInt aOff_x[],const PetscScalar a[],const PetscScalar a_t[],const PetscScalar a_x[],PetscReal t,PetscReal u_tShift,const PetscReal x[],PetscInt numConstants,const PetscScalar constants[],PetscScalar J[])215 static void JC_0_c0c0_3d(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, PetscReal u_tShift, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar J[])
216 {
217 const PetscReal alpha = PetscRealPart(constants[ALPHA_ID]);
218 const PetscReal gamma = PetscRealPart(constants[GAMMA_ID]);
219 const PetscReal eps = PetscRealPart(constants[EPS_ID]);
220 const PetscBool split = (PetscBool)(PetscRealPart(constants[SPLIT_ID]) != 0.0);
221 const PetscScalar C00 = split ? a[aOff[C_FIELD_ID]] : u[uOff[C_FIELD_ID]];
222 const PetscScalar C01 = split ? a[aOff[C_FIELD_ID] + 1] : u[uOff[C_FIELD_ID] + 1];
223 const PetscScalar C02 = split ? a[aOff[C_FIELD_ID] + 2] : u[uOff[C_FIELD_ID] + 2];
224 const PetscScalar C11 = split ? a[aOff[C_FIELD_ID] + 3] : u[uOff[C_FIELD_ID] + 3];
225 const PetscScalar C12 = split ? a[aOff[C_FIELD_ID] + 4] : u[uOff[C_FIELD_ID] + 4];
226 const PetscScalar C22 = split ? a[aOff[C_FIELD_ID] + 5] : u[uOff[C_FIELD_ID] + 5];
227 const PetscScalar norm = NORM2C_3d(C00, C01, C02, C11, C12, C22) + eps;
228 const PetscScalar nexp = (gamma - 2.0) / 2.0;
229 const PetscScalar fnorm = PetscPowScalar(norm, nexp);
230 const PetscScalar dfnorm = nexp * PetscPowScalar(norm, nexp - 1.0);
231 const PetscScalar dC[] = {2 * C00, 4 * C01, 4 * C02, 2 * C11, 4 * C12, 2 * C22};
232 const PetscScalar eqss[] = {0.5, 1., 1., 0.5, 1., 0.5};
233
234 for (PetscInt k = 0; k < 6; k++) {
235 if (!split) {
236 for (PetscInt j = 0; j < 6; j++) J[k * 6 + j] = eqss[k] * (alpha * dfnorm * dC[j] * u[uOff[C_FIELD_ID] + k]);
237 }
238 J[k * 6 + k] += eqss[k] * (alpha * fnorm + u_tShift);
239 }
240 }
241
242 /* Jacobian for C against C basis functions and gradients of P basis functions */
JC_0_c0p1(PetscInt dim,PetscInt Nf,PetscInt NfAux,const PetscInt uOff[],const PetscInt uOff_x[],const PetscScalar u[],const PetscScalar u_t[],const PetscScalar u_x[],const PetscInt aOff[],const PetscInt aOff_x[],const PetscScalar a[],const PetscScalar a_t[],const PetscScalar a_x[],PetscReal t,PetscReal u_tShift,const PetscReal x[],PetscInt numConstants,const PetscScalar constants[],PetscScalar J[])243 static void JC_0_c0p1(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, PetscReal u_tShift, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar J[])
244 {
245 const PetscScalar *gradp = u_x + uOff_x[P_FIELD_ID];
246 const PetscScalar eqss[] = {0.5, 1., 0.5};
247
248 J[0] = -2 * gradp[0] * eqss[0];
249 J[1] = 0.0;
250
251 J[2] = -gradp[1] * eqss[1];
252 J[3] = -gradp[0] * eqss[1];
253
254 J[4] = 0.0;
255 J[5] = -2 * gradp[1] * eqss[2];
256 }
257
JC_0_c0p1_3d(PetscInt dim,PetscInt Nf,PetscInt NfAux,const PetscInt uOff[],const PetscInt uOff_x[],const PetscScalar u[],const PetscScalar u_t[],const PetscScalar u_x[],const PetscInt aOff[],const PetscInt aOff_x[],const PetscScalar a[],const PetscScalar a_t[],const PetscScalar a_x[],PetscReal t,PetscReal u_tShift,const PetscReal x[],PetscInt numConstants,const PetscScalar constants[],PetscScalar J[])258 static void JC_0_c0p1_3d(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, PetscReal u_tShift, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar J[])
259 {
260 const PetscScalar *gradp = u_x + uOff_x[P_FIELD_ID];
261 const PetscScalar eqss[] = {0.5, 1., 1., 0.5, 1., 0.5};
262
263 J[0] = -2 * gradp[0] * eqss[0];
264 J[1] = 0.0;
265 J[2] = 0.0;
266
267 J[3] = -gradp[1] * eqss[1];
268 J[4] = -gradp[0] * eqss[1];
269 J[5] = 0.0;
270
271 J[6] = -gradp[2] * eqss[2];
272 J[7] = 0.0;
273 J[8] = -gradp[0] * eqss[2];
274
275 J[9] = 0.0;
276 J[10] = -2 * gradp[1] * eqss[3];
277 J[11] = 0.0;
278
279 J[12] = 0.0;
280 J[13] = -gradp[2] * eqss[4];
281 J[14] = -gradp[1] * eqss[4];
282
283 J[15] = 0.0;
284 J[16] = 0.0;
285 J[17] = -2 * gradp[2] * eqss[5];
286 }
287
288 /* residual for C when tested against gradients of basis functions */
C_1(PetscInt dim,PetscInt Nf,PetscInt NfAux,const PetscInt uOff[],const PetscInt uOff_x[],const PetscScalar u[],const PetscScalar u_t[],const PetscScalar u_x[],const PetscInt aOff[],const PetscInt aOff_x[],const PetscScalar a[],const PetscScalar a_t[],const PetscScalar a_x[],PetscReal t,const PetscReal x[],PetscInt numConstants,const PetscScalar constants[],PetscScalar f1[])289 static void C_1(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar f1[])
290 {
291 const PetscReal D = PetscRealPart(constants[D_ID]);
292 for (PetscInt k = 0; k < 3; k++)
293 for (PetscInt d = 0; d < 2; d++) f1[k * 2 + d] = PetscSqr(D) * u_x[uOff_x[C_FIELD_ID] + k * 2 + d];
294 }
295
C_1_3d(PetscInt dim,PetscInt Nf,PetscInt NfAux,const PetscInt uOff[],const PetscInt uOff_x[],const PetscScalar u[],const PetscScalar u_t[],const PetscScalar u_x[],const PetscInt aOff[],const PetscInt aOff_x[],const PetscScalar a[],const PetscScalar a_t[],const PetscScalar a_x[],PetscReal t,const PetscReal x[],PetscInt numConstants,const PetscScalar constants[],PetscScalar f1[])296 static void C_1_3d(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar f1[])
297 {
298 const PetscReal D = PetscRealPart(constants[D_ID]);
299 for (PetscInt k = 0; k < 6; k++)
300 for (PetscInt d = 0; d < 3; d++) f1[k * 3 + d] = PetscSqr(D) * u_x[uOff_x[C_FIELD_ID] + k * 3 + d];
301 }
302
303 /* Jacobian for C against gradients of C basis functions */
JC_1_c1c1(PetscInt dim,PetscInt Nf,PetscInt NfAux,const PetscInt uOff[],const PetscInt uOff_x[],const PetscScalar u[],const PetscScalar u_t[],const PetscScalar u_x[],const PetscInt aOff[],const PetscInt aOff_x[],const PetscScalar a[],const PetscScalar a_t[],const PetscScalar a_x[],PetscReal t,PetscReal u_tShift,const PetscReal x[],PetscInt numConstants,const PetscScalar constants[],PetscScalar J[])304 static void JC_1_c1c1(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, PetscReal u_tShift, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar J[])
305 {
306 const PetscReal D = PetscRealPart(constants[D_ID]);
307 for (PetscInt k = 0; k < 3; k++)
308 for (PetscInt d = 0; d < 2; d++) J[k * (3 + 1) * 2 * 2 + d * 2 + d] = PetscSqr(D);
309 }
310
JC_1_c1c1_3d(PetscInt dim,PetscInt Nf,PetscInt NfAux,const PetscInt uOff[],const PetscInt uOff_x[],const PetscScalar u[],const PetscScalar u_t[],const PetscScalar u_x[],const PetscInt aOff[],const PetscInt aOff_x[],const PetscScalar a[],const PetscScalar a_t[],const PetscScalar a_x[],PetscReal t,PetscReal u_tShift,const PetscReal x[],PetscInt numConstants,const PetscScalar constants[],PetscScalar J[])311 static void JC_1_c1c1_3d(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, PetscReal u_tShift, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar J[])
312 {
313 const PetscReal D = PetscRealPart(constants[D_ID]);
314 for (PetscInt k = 0; k < 6; k++)
315 for (PetscInt d = 0; d < 3; d++) J[k * (6 + 1) * 3 * 3 + d * 3 + d] = PetscSqr(D);
316 }
317
318 /* residual for P when tested against basis functions.
319 The source term always comes from the auxiliary data because it must be zero mean (algebraically) */
P_0(PetscInt dim,PetscInt Nf,PetscInt NfAux,const PetscInt uOff[],const PetscInt uOff_x[],const PetscScalar u[],const PetscScalar u_t[],const PetscScalar u_x[],const PetscInt aOff[],const PetscInt aOff_x[],const PetscScalar a[],const PetscScalar a_t[],const PetscScalar a_x[],PetscReal t,const PetscReal x[],PetscInt numConstants,const PetscScalar constants[],PetscScalar f0[])320 static void P_0(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar f0[])
321 {
322 PetscScalar S = a[aOff[NUM_FIELDS]];
323
324 f0[0] = S;
325 }
326
327 /* residual for P when tested against basis functions for the initial condition problem
328 here we don't impose symmetry, and we thus flip the sign of the source function */
P_0_aux(PetscInt dim,PetscInt Nf,PetscInt NfAux,const PetscInt uOff[],const PetscInt uOff_x[],const PetscScalar u[],const PetscScalar u_t[],const PetscScalar u_x[],const PetscInt aOff[],const PetscInt aOff_x[],const PetscScalar a[],const PetscScalar a_t[],const PetscScalar a_x[],PetscReal t,const PetscReal x[],PetscInt numConstants,const PetscScalar constants[],PetscScalar f0[])329 static void P_0_aux(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar f0[])
330 {
331 PetscScalar S = a[aOff[NUM_FIELDS]];
332
333 f0[0] = -S;
334 }
335
336 /* residual for P when tested against gradients of basis functions */
P_1(PetscInt dim,PetscInt Nf,PetscInt NfAux,const PetscInt uOff[],const PetscInt uOff_x[],const PetscScalar u[],const PetscScalar u_t[],const PetscScalar u_x[],const PetscInt aOff[],const PetscInt aOff_x[],const PetscScalar a[],const PetscScalar a_t[],const PetscScalar a_x[],PetscReal t,const PetscReal x[],PetscInt numConstants,const PetscScalar constants[],PetscScalar f1[])337 static void P_1(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar f1[])
338 {
339 const PetscReal r = PetscRealPart(constants[R_ID]);
340 const PetscScalar C00 = u[uOff[C_FIELD_ID]] + r;
341 const PetscScalar C01 = u[uOff[C_FIELD_ID] + 1];
342 const PetscScalar C10 = C01;
343 const PetscScalar C11 = u[uOff[C_FIELD_ID] + 2] + r;
344 const PetscScalar *gradp = u_x + uOff_x[P_FIELD_ID];
345 const PetscBool fix_c = (PetscBool)(PetscRealPart(constants[FIXC_ID]) > 1.0);
346 const PetscScalar s = fix_c ? FIX_C(C00, C01, C11) : 0.0;
347
348 f1[0] = -((C00 + s) * gradp[0] + C01 * gradp[1]);
349 f1[1] = -(C10 * gradp[0] + (C11 + s) * gradp[1]);
350 }
351
P_1_3d(PetscInt dim,PetscInt Nf,PetscInt NfAux,const PetscInt uOff[],const PetscInt uOff_x[],const PetscScalar u[],const PetscScalar u_t[],const PetscScalar u_x[],const PetscInt aOff[],const PetscInt aOff_x[],const PetscScalar a[],const PetscScalar a_t[],const PetscScalar a_x[],PetscReal t,const PetscReal x[],PetscInt numConstants,const PetscScalar constants[],PetscScalar f1[])352 static void P_1_3d(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar f1[])
353 {
354 const PetscReal r = PetscRealPart(constants[R_ID]);
355 const PetscScalar C00 = u[uOff[C_FIELD_ID]] + r;
356 const PetscScalar C01 = u[uOff[C_FIELD_ID] + 1];
357 const PetscScalar C02 = u[uOff[C_FIELD_ID] + 2];
358 const PetscScalar C10 = C01;
359 const PetscScalar C11 = u[uOff[C_FIELD_ID] + 3] + r;
360 const PetscScalar C12 = u[uOff[C_FIELD_ID] + 4];
361 const PetscScalar C20 = C02;
362 const PetscScalar C21 = C12;
363 const PetscScalar C22 = u[uOff[C_FIELD_ID] + 5] + r;
364 const PetscScalar *gradp = u_x + uOff_x[P_FIELD_ID];
365 const PetscBool fix_c = (PetscBool)(PetscRealPart(constants[FIXC_ID]) > 1.0);
366 const PetscScalar s = fix_c ? FIX_C_3d(C00, C01, C02, C11, C12, C22) : 0.0;
367
368 f1[0] = -((C00 + s) * gradp[0] + C01 * gradp[1] + C02 * gradp[2]);
369 f1[1] = -(C10 * gradp[0] + (C11 + s) * gradp[1] + C12 * gradp[2]);
370 f1[2] = -(C20 * gradp[0] + C21 * gradp[1] + (C22 + s) * gradp[2]);
371 }
372
373 /* Same as above except that the conductivity values come from the auxiliary vec */
P_1_aux(PetscInt dim,PetscInt Nf,PetscInt NfAux,const PetscInt uOff[],const PetscInt uOff_x[],const PetscScalar u[],const PetscScalar u_t[],const PetscScalar u_x[],const PetscInt aOff[],const PetscInt aOff_x[],const PetscScalar a[],const PetscScalar a_t[],const PetscScalar a_x[],PetscReal t,const PetscReal x[],PetscInt numConstants,const PetscScalar constants[],PetscScalar f1[])374 static void P_1_aux(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar f1[])
375 {
376 const PetscReal r = PetscRealPart(constants[R_ID]);
377 const PetscScalar C00 = a[aOff[C_FIELD_ID]] + r;
378 const PetscScalar C01 = a[aOff[C_FIELD_ID] + 1];
379 const PetscScalar C10 = C01;
380 const PetscScalar C11 = a[aOff[C_FIELD_ID] + 2] + r;
381 const PetscScalar *gradp = u_x + uOff_x[Nf > 1 ? P_FIELD_ID : 0];
382 const PetscBool fix_c = (PetscBool)(PetscRealPart(constants[FIXC_ID]) > 1.0);
383 const PetscScalar s = fix_c ? FIX_C(C00, C01, C11) : 0.0;
384
385 f1[0] = (C00 + s) * gradp[0] + C01 * gradp[1];
386 f1[1] = C10 * gradp[0] + (C11 + s) * gradp[1];
387 }
388
P_1_aux_3d(PetscInt dim,PetscInt Nf,PetscInt NfAux,const PetscInt uOff[],const PetscInt uOff_x[],const PetscScalar u[],const PetscScalar u_t[],const PetscScalar u_x[],const PetscInt aOff[],const PetscInt aOff_x[],const PetscScalar a[],const PetscScalar a_t[],const PetscScalar a_x[],PetscReal t,const PetscReal x[],PetscInt numConstants,const PetscScalar constants[],PetscScalar f1[])389 static void P_1_aux_3d(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar f1[])
390 {
391 const PetscReal r = PetscRealPart(constants[R_ID]);
392 const PetscScalar C00 = a[aOff[C_FIELD_ID]] + r;
393 const PetscScalar C01 = a[aOff[C_FIELD_ID] + 1];
394 const PetscScalar C02 = a[aOff[C_FIELD_ID] + 2];
395 const PetscScalar C10 = C01;
396 const PetscScalar C11 = a[aOff[C_FIELD_ID] + 3] + r;
397 const PetscScalar C12 = a[aOff[C_FIELD_ID] + 4];
398 const PetscScalar C20 = C02;
399 const PetscScalar C21 = C12;
400 const PetscScalar C22 = a[aOff[C_FIELD_ID] + 5] + r;
401 const PetscScalar *gradp = u_x + uOff_x[Nf > 1 ? P_FIELD_ID : 0];
402 const PetscBool fix_c = (PetscBool)(PetscRealPart(constants[FIXC_ID]) > 1.0);
403 const PetscScalar s = fix_c ? FIX_C_3d(C00, C01, C02, C11, C12, C22) : 0.0;
404
405 f1[0] = (C00 + s) * gradp[0] + C01 * gradp[1] + C02 * gradp[2];
406 f1[1] = C10 * gradp[0] + (C11 + s) * gradp[1] + C12 * gradp[2];
407 f1[2] = C20 * gradp[0] + C21 * gradp[1] + (C22 + s) * gradp[2];
408 }
409
410 /* Jacobian for P against gradients of P basis functions */
JP_1_p1p1(PetscInt dim,PetscInt Nf,PetscInt NfAux,const PetscInt uOff[],const PetscInt uOff_x[],const PetscScalar u[],const PetscScalar u_t[],const PetscScalar u_x[],const PetscInt aOff[],const PetscInt aOff_x[],const PetscScalar a[],const PetscScalar a_t[],const PetscScalar a_x[],PetscReal t,PetscReal u_tShift,const PetscReal x[],PetscInt numConstants,const PetscScalar constants[],PetscScalar J[])411 static void JP_1_p1p1(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, PetscReal u_tShift, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar J[])
412 {
413 const PetscReal r = PetscRealPart(constants[R_ID]);
414 const PetscScalar C00 = u[uOff[C_FIELD_ID]] + r;
415 const PetscScalar C01 = u[uOff[C_FIELD_ID] + 1];
416 const PetscScalar C10 = C01;
417 const PetscScalar C11 = u[uOff[C_FIELD_ID] + 2] + r;
418 const PetscBool fix_c = (PetscBool)(PetscRealPart(constants[FIXC_ID]) > 0.0);
419 const PetscScalar s = fix_c ? FIX_C(C00, C01, C11) : 0.0;
420
421 J[0] = -(C00 + s);
422 J[1] = -C01;
423 J[2] = -C10;
424 J[3] = -(C11 + s);
425 }
426
JP_1_p1p1_3d(PetscInt dim,PetscInt Nf,PetscInt NfAux,const PetscInt uOff[],const PetscInt uOff_x[],const PetscScalar u[],const PetscScalar u_t[],const PetscScalar u_x[],const PetscInt aOff[],const PetscInt aOff_x[],const PetscScalar a[],const PetscScalar a_t[],const PetscScalar a_x[],PetscReal t,PetscReal u_tShift,const PetscReal x[],PetscInt numConstants,const PetscScalar constants[],PetscScalar J[])427 static void JP_1_p1p1_3d(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, PetscReal u_tShift, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar J[])
428 {
429 const PetscReal r = PetscRealPart(constants[R_ID]);
430 const PetscScalar C00 = u[uOff[C_FIELD_ID]] + r;
431 const PetscScalar C01 = u[uOff[C_FIELD_ID] + 1];
432 const PetscScalar C02 = u[uOff[C_FIELD_ID] + 2];
433 const PetscScalar C10 = C01;
434 const PetscScalar C11 = u[uOff[C_FIELD_ID] + 3] + r;
435 const PetscScalar C12 = u[uOff[C_FIELD_ID] + 4];
436 const PetscScalar C20 = C02;
437 const PetscScalar C21 = C12;
438 const PetscScalar C22 = u[uOff[C_FIELD_ID] + 5] + r;
439 const PetscBool fix_c = (PetscBool)(PetscRealPart(constants[FIXC_ID]) > 0.0);
440 const PetscScalar s = fix_c ? FIX_C_3d(C00, C01, C02, C11, C12, C22) : 0.0;
441
442 J[0] = -(C00 + s);
443 J[1] = -C01;
444 J[2] = -C02;
445 J[3] = -C10;
446 J[4] = -(C11 + s);
447 J[5] = -C12;
448 J[6] = -C20;
449 J[7] = -C21;
450 J[8] = -(C22 + s);
451 }
452
JP_1_p1p1_aux(PetscInt dim,PetscInt Nf,PetscInt NfAux,const PetscInt uOff[],const PetscInt uOff_x[],const PetscScalar u[],const PetscScalar u_t[],const PetscScalar u_x[],const PetscInt aOff[],const PetscInt aOff_x[],const PetscScalar a[],const PetscScalar a_t[],const PetscScalar a_x[],PetscReal t,PetscReal u_tShift,const PetscReal x[],PetscInt numConstants,const PetscScalar constants[],PetscScalar J[])453 static void JP_1_p1p1_aux(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, PetscReal u_tShift, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar J[])
454 {
455 const PetscReal r = PetscRealPart(constants[R_ID]);
456 const PetscScalar C00 = a[aOff[C_FIELD_ID]] + r;
457 const PetscScalar C01 = a[aOff[C_FIELD_ID] + 1];
458 const PetscScalar C10 = C01;
459 const PetscScalar C11 = a[aOff[C_FIELD_ID] + 2] + r;
460 const PetscBool fix_c = (PetscBool)(PetscRealPart(constants[FIXC_ID]) > 0.0);
461 const PetscScalar s = fix_c ? FIX_C(C00, C01, C11) : 0.0;
462
463 J[0] = C00 + s;
464 J[1] = C01;
465 J[2] = C10;
466 J[3] = C11 + s;
467 }
468
JP_1_p1p1_aux_3d(PetscInt dim,PetscInt Nf,PetscInt NfAux,const PetscInt uOff[],const PetscInt uOff_x[],const PetscScalar u[],const PetscScalar u_t[],const PetscScalar u_x[],const PetscInt aOff[],const PetscInt aOff_x[],const PetscScalar a[],const PetscScalar a_t[],const PetscScalar a_x[],PetscReal t,PetscReal u_tShift,const PetscReal x[],PetscInt numConstants,const PetscScalar constants[],PetscScalar J[])469 static void JP_1_p1p1_aux_3d(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, PetscReal u_tShift, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar J[])
470 {
471 const PetscReal r = PetscRealPart(constants[R_ID]);
472 const PetscScalar C00 = a[aOff[C_FIELD_ID]] + r;
473 const PetscScalar C01 = a[aOff[C_FIELD_ID] + 1];
474 const PetscScalar C02 = a[aOff[C_FIELD_ID] + 2];
475 const PetscScalar C10 = C01;
476 const PetscScalar C11 = a[aOff[C_FIELD_ID] + 3] + r;
477 const PetscScalar C12 = a[aOff[C_FIELD_ID] + 4];
478 const PetscScalar C20 = C02;
479 const PetscScalar C21 = C12;
480 const PetscScalar C22 = a[aOff[C_FIELD_ID] + 5] + r;
481 const PetscBool fix_c = (PetscBool)(PetscRealPart(constants[FIXC_ID]) > 0.0);
482 const PetscScalar s = fix_c ? FIX_C_3d(C00, C01, C02, C11, C12, C22) : 0.0;
483
484 J[0] = C00 + s;
485 J[1] = C01;
486 J[2] = C02;
487 J[3] = C10;
488 J[4] = C11 + s;
489 J[5] = C12;
490 J[6] = C20;
491 J[7] = C21;
492 J[8] = C22 + s;
493 }
494
495 /* Jacobian for P against gradients of P basis functions and C basis functions */
JP_1_p1c0(PetscInt dim,PetscInt Nf,PetscInt NfAux,const PetscInt uOff[],const PetscInt uOff_x[],const PetscScalar u[],const PetscScalar u_t[],const PetscScalar u_x[],const PetscInt aOff[],const PetscInt aOff_x[],const PetscScalar a[],const PetscScalar a_t[],const PetscScalar a_x[],PetscReal t,PetscReal u_tShift,const PetscReal x[],PetscInt numConstants,const PetscScalar constants[],PetscScalar J[])496 static void JP_1_p1c0(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, PetscReal u_tShift, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar J[])
497 {
498 const PetscScalar *gradp = u_x + uOff_x[P_FIELD_ID];
499
500 J[0] = -gradp[0];
501 J[1] = 0;
502
503 J[2] = -gradp[1];
504 J[3] = -gradp[0];
505
506 J[4] = 0;
507 J[5] = -gradp[1];
508 }
509
JP_1_p1c0_3d(PetscInt dim,PetscInt Nf,PetscInt NfAux,const PetscInt uOff[],const PetscInt uOff_x[],const PetscScalar u[],const PetscScalar u_t[],const PetscScalar u_x[],const PetscInt aOff[],const PetscInt aOff_x[],const PetscScalar a[],const PetscScalar a_t[],const PetscScalar a_x[],PetscReal t,PetscReal u_tShift,const PetscReal x[],PetscInt numConstants,const PetscScalar constants[],PetscScalar J[])510 static void JP_1_p1c0_3d(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, PetscReal u_tShift, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar J[])
511 {
512 const PetscScalar *gradp = u_x + uOff_x[P_FIELD_ID];
513
514 J[0] = -gradp[0];
515 J[1] = 0;
516 J[2] = 0;
517
518 J[3] = -gradp[1];
519 J[4] = -gradp[0];
520 J[5] = 0;
521
522 J[6] = -gradp[2];
523 J[7] = 0;
524 J[8] = -gradp[0];
525
526 J[9] = 0;
527 J[10] = -gradp[1];
528 J[11] = 0;
529
530 J[12] = 0;
531 J[13] = -gradp[2];
532 J[14] = -gradp[1];
533
534 J[15] = 0;
535 J[16] = 0;
536 J[17] = -gradp[2];
537 }
538
539 /* a collection of gaussian, Dirac-like, source term S(x) = scale * cos(2*pi*(frequency*t + phase)) * exp(-w*||x - x0||^2) */
540 typedef struct {
541 PetscInt n;
542 PetscReal *x0;
543 PetscReal *w;
544 PetscReal *k;
545 PetscReal *p;
546 PetscReal *r;
547 } MultiSourceCtx;
548
549 typedef struct {
550 PetscReal x0[3];
551 PetscReal w;
552 PetscReal k;
553 PetscReal p;
554 PetscReal r;
555 } SingleSourceCtx;
556
gaussian(PetscInt dim,PetscReal time,const PetscReal x[],PetscInt Nf,PetscScalar * u,PetscCtx ctx)557 static PetscErrorCode gaussian(PetscInt dim, PetscReal time, const PetscReal x[], PetscInt Nf, PetscScalar *u, PetscCtx ctx)
558 {
559 SingleSourceCtx *s = (SingleSourceCtx *)ctx;
560 const PetscReal *x0 = s->x0;
561 const PetscReal w = s->w;
562 const PetscReal k = s->k; /* frequency */
563 const PetscReal p = s->p; /* phase */
564 const PetscReal r = s->r; /* scale */
565 PetscReal n = 0;
566
567 for (PetscInt d = 0; d < dim; ++d) n += (x[d] - x0[d]) * (x[d] - x0[d]);
568 u[0] = r * PetscCosReal(2 * PETSC_PI * (k * time + p)) * PetscExpReal(-w * n);
569 return PETSC_SUCCESS;
570 }
571
source(PetscInt dim,PetscReal time,const PetscReal x[],PetscInt Nf,PetscScalar * u,PetscCtx ctx)572 static PetscErrorCode source(PetscInt dim, PetscReal time, const PetscReal x[], PetscInt Nf, PetscScalar *u, PetscCtx ctx)
573 {
574 MultiSourceCtx *s = (MultiSourceCtx *)ctx;
575
576 u[0] = 0.0;
577 for (PetscInt i = 0; i < s->n; i++) {
578 SingleSourceCtx sctx;
579 PetscScalar ut[1];
580
581 sctx.x0[0] = s->x0[dim * i];
582 sctx.x0[1] = s->x0[dim * i + 1];
583 sctx.x0[2] = dim > 2 ? s->x0[dim * i + 2] : 0.0;
584 sctx.w = s->w[i];
585 sctx.k = s->k[i];
586 sctx.p = s->p[i];
587 sctx.r = s->r[i];
588
589 PetscCall(gaussian(dim, time, x, Nf, ut, &sctx));
590
591 u[0] += ut[0];
592 }
593 return PETSC_SUCCESS;
594 }
595
596 /* functionals to be integrated: average -> \int_\Omega u dx */
average(PetscInt dim,PetscInt Nf,PetscInt NfAux,const PetscInt uOff[],const PetscInt uOff_x[],const PetscScalar u[],const PetscScalar u_t[],const PetscScalar u_x[],const PetscInt aOff[],const PetscInt aOff_x[],const PetscScalar a[],const PetscScalar a_t[],const PetscScalar a_x[],PetscReal t,const PetscReal x[],PetscInt numConstants,const PetscScalar constants[],PetscScalar obj[])597 static void average(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar obj[])
598 {
599 const PetscInt fid = (PetscInt)PetscRealPart(constants[numConstants]);
600 obj[0] = u[uOff[fid]];
601 }
602
603 /* functionals to be integrated: volume -> \int_\Omega dx */
volume(PetscInt dim,PetscInt Nf,PetscInt NfAux,const PetscInt uOff[],const PetscInt uOff_x[],const PetscScalar u[],const PetscScalar u_t[],const PetscScalar u_x[],const PetscInt aOff[],const PetscInt aOff_x[],const PetscScalar a[],const PetscScalar a_t[],const PetscScalar a_x[],PetscReal t,const PetscReal x[],PetscInt numConstants,const PetscScalar constants[],PetscScalar obj[])604 static void volume(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar obj[])
605 {
606 obj[0] = 1;
607 }
608
609 /* functionals to be integrated: energy -> D^2/2 * ||\nabla C||^2 + c^2\nabla p * (r + C) * \nabla p + \alpha/ \gamma * ||C||^\gamma */
energy(PetscInt dim,PetscInt Nf,PetscInt NfAux,const PetscInt uOff[],const PetscInt uOff_x[],const PetscScalar u[],const PetscScalar u_t[],const PetscScalar u_x[],const PetscInt aOff[],const PetscInt aOff_x[],const PetscScalar a[],const PetscScalar a_t[],const PetscScalar a_x[],PetscReal t,const PetscReal x[],PetscInt numConstants,const PetscScalar constants[],PetscScalar obj[])610 static void energy(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar obj[])
611 {
612 const PetscReal D = PetscRealPart(constants[D_ID]);
613 const PetscReal r = PetscRealPart(constants[R_ID]);
614 const PetscReal alpha = PetscRealPart(constants[ALPHA_ID]);
615 const PetscReal gamma = PetscRealPart(constants[GAMMA_ID]);
616 const PetscReal eps = PetscRealPart(constants[EPS_ID]);
617
618 if (dim == 2) {
619 const PetscScalar C00 = u[uOff[C_FIELD_ID]];
620 const PetscScalar C01 = u[uOff[C_FIELD_ID] + 1];
621 const PetscScalar C10 = C01;
622 const PetscScalar C11 = u[uOff[C_FIELD_ID] + 2];
623 const PetscScalar *gradp = u_x + uOff_x[P_FIELD_ID];
624 const PetscScalar *gradC00 = u_x + uOff_x[C_FIELD_ID];
625 const PetscScalar *gradC01 = u_x + uOff_x[C_FIELD_ID] + 2;
626 const PetscScalar *gradC11 = u_x + uOff_x[C_FIELD_ID] + 4;
627 const PetscScalar normC = NORM2C(C00, C01, C11) + eps;
628 const PetscScalar normgradC = NORM2C(gradC00[0], gradC01[0], gradC11[0]) + NORM2C(gradC00[1], gradC01[1], gradC11[1]);
629 const PetscScalar nexp = gamma / 2.0;
630
631 const PetscScalar t0 = PetscSqr(D) / 2.0 * normgradC;
632 const PetscScalar t1 = gradp[0] * ((C00 + r) * gradp[0] + C01 * gradp[1]) + gradp[1] * (C10 * gradp[0] + (C11 + r) * gradp[1]);
633 const PetscScalar t2 = alpha / gamma * PetscPowScalar(normC, nexp);
634
635 obj[0] = t0 + t1 + t2;
636 } else {
637 const PetscScalar C00 = u[uOff[C_FIELD_ID]];
638 const PetscScalar C01 = u[uOff[C_FIELD_ID] + 1];
639 const PetscScalar C02 = u[uOff[C_FIELD_ID] + 2];
640 const PetscScalar C10 = C01;
641 const PetscScalar C11 = u[uOff[C_FIELD_ID] + 3];
642 const PetscScalar C12 = u[uOff[C_FIELD_ID] + 4];
643 const PetscScalar C20 = C02;
644 const PetscScalar C21 = C12;
645 const PetscScalar C22 = u[uOff[C_FIELD_ID] + 5];
646 const PetscScalar *gradp = u_x + uOff_x[P_FIELD_ID];
647 const PetscScalar *gradC00 = u_x + uOff_x[C_FIELD_ID];
648 const PetscScalar *gradC01 = u_x + uOff_x[C_FIELD_ID] + 3;
649 const PetscScalar *gradC02 = u_x + uOff_x[C_FIELD_ID] + 6;
650 const PetscScalar *gradC11 = u_x + uOff_x[C_FIELD_ID] + 9;
651 const PetscScalar *gradC12 = u_x + uOff_x[C_FIELD_ID] + 12;
652 const PetscScalar *gradC22 = u_x + uOff_x[C_FIELD_ID] + 15;
653 const PetscScalar normC = NORM2C_3d(C00, C01, C02, C11, C12, C22) + eps;
654 const PetscScalar normgradC = NORM2C_3d(gradC00[0], gradC01[0], gradC02[0], gradC11[0], gradC12[0], gradC22[0]) + NORM2C_3d(gradC00[1], gradC01[1], gradC02[1], gradC11[1], gradC12[1], gradC22[1]) + NORM2C_3d(gradC00[2], gradC01[2], gradC02[2], gradC11[2], gradC12[2], gradC22[2]);
655 const PetscScalar nexp = gamma / 2.0;
656
657 const PetscScalar t0 = PetscSqr(D) / 2.0 * normgradC;
658 const PetscScalar t1 = gradp[0] * ((C00 + r) * gradp[0] + C01 * gradp[1] + C02 * gradp[2]) + gradp[1] * (C10 * gradp[0] + (C11 + r) * gradp[1] + C12 * gradp[2]) + gradp[2] * (C20 * gradp[0] + C21 * gradp[1] + (C22 + r) * gradp[2]);
659 const PetscScalar t2 = alpha / gamma * PetscPowScalar(normC, nexp);
660
661 obj[0] = t0 + t1 + t2;
662 }
663 }
664
665 /* functionals to be integrated: ellipticity_fail_private -> see below */
ellipticity_fail_private(PetscInt dim,PetscInt Nf,PetscInt NfAux,const PetscInt uOff[],const PetscInt uOff_x[],const PetscScalar u[],const PetscScalar u_t[],const PetscScalar u_x[],const PetscInt aOff[],const PetscInt aOff_x[],const PetscScalar a[],const PetscScalar a_t[],const PetscScalar a_x[],PetscReal t,const PetscReal x[],PetscInt numConstants,const PetscScalar constants[],PetscScalar obj[],PetscBool add_reg)666 static void ellipticity_fail_private(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar obj[], PetscBool add_reg)
667 {
668 #if !PetscDefined(USE_COMPLEX)
669 PetscReal eigs[3];
670 PetscScalar C00, C01, C02 = 0.0, C11, C12 = 0.0, C22 = 0.0;
671 const PetscReal r = add_reg ? PetscRealPart(constants[R_ID]) : 0.0;
672
673 if (dim == 2) {
674 C00 = u[uOff[C_FIELD_ID]] + r;
675 C01 = u[uOff[C_FIELD_ID] + 1];
676 C11 = u[uOff[C_FIELD_ID] + 2] + r;
677 } else {
678 C00 = u[uOff[C_FIELD_ID]] + r;
679 C01 = u[uOff[C_FIELD_ID] + 1];
680 C02 = u[uOff[C_FIELD_ID] + 2];
681 C11 = u[uOff[C_FIELD_ID] + 3] + r;
682 C12 = u[uOff[C_FIELD_ID] + 4];
683 C22 = u[uOff[C_FIELD_ID] + 5] + r;
684 }
685 Eigenvalues_Sym3x3(C00, C01, C02, C11, C12, C22, eigs);
686 if (eigs[0] < 0 || eigs[1] < 0 || eigs[2] < 0) obj[0] = -PetscMin(eigs[0], PetscMin(eigs[1], eigs[2]));
687 else obj[0] = 0.0;
688 #else
689 obj[0] = 0.0;
690 #endif
691 }
692
693 /* functionals to be integrated: ellipticity_fail -> 0 means C is elliptic at quadrature point, otherwise it returns 1 */
ellipticity_fail(PetscInt dim,PetscInt Nf,PetscInt NfAux,const PetscInt uOff[],const PetscInt uOff_x[],const PetscScalar u[],const PetscScalar u_t[],const PetscScalar u_x[],const PetscInt aOff[],const PetscInt aOff_x[],const PetscScalar a[],const PetscScalar a_t[],const PetscScalar a_x[],PetscReal t,const PetscReal x[],PetscInt numConstants,const PetscScalar constants[],PetscScalar obj[])694 static void ellipticity_fail(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar obj[])
695 {
696 ellipticity_fail_private(dim, Nf, NfAux, uOff, uOff_x, u, u_t, u_x, aOff, aOff_x, a, a_t, a_x, t, x, numConstants, constants, obj, PETSC_FALSE);
697 if (PetscAbsScalar(obj[0]) > 0.0) obj[0] = 1.0;
698 }
699
700 /* functionals to be integrated: jacobian_fail -> 0 means C + r is elliptic at quadrature point, otherwise it returns the absolute value of the most negative eigenvalue */
jacobian_fail(PetscInt dim,PetscInt Nf,PetscInt NfAux,const PetscInt uOff[],const PetscInt uOff_x[],const PetscScalar u[],const PetscScalar u_t[],const PetscScalar u_x[],const PetscInt aOff[],const PetscInt aOff_x[],const PetscScalar a[],const PetscScalar a_t[],const PetscScalar a_x[],PetscReal t,const PetscReal x[],PetscInt numConstants,const PetscScalar constants[],PetscScalar obj[])701 static void jacobian_fail(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar obj[])
702 {
703 ellipticity_fail_private(dim, Nf, NfAux, uOff, uOff_x, u, u_t, u_x, aOff, aOff_x, a, a_t, a_x, t, x, numConstants, constants, obj, PETSC_TRUE);
704 }
705
706 /* initial conditions for C: eq. 16 */
initial_conditions_C_0(PetscInt dim,PetscReal time,const PetscReal xx[],PetscInt Nc,PetscScalar * u,PetscCtx ctx)707 static PetscErrorCode initial_conditions_C_0(PetscInt dim, PetscReal time, const PetscReal xx[], PetscInt Nc, PetscScalar *u, PetscCtx ctx)
708 {
709 if (dim == 2) {
710 u[0] = 1;
711 u[1] = 0;
712 u[2] = 1;
713 } else {
714 u[0] = 1;
715 u[1] = 0;
716 u[2] = 0;
717 u[3] = 1;
718 u[4] = 0;
719 u[5] = 1;
720 }
721 return PETSC_SUCCESS;
722 }
723
724 /* initial conditions for C: eq. 17 */
initial_conditions_C_1(PetscInt dim,PetscReal time,const PetscReal xx[],PetscInt Nc,PetscScalar * u,PetscCtx ctx)725 static PetscErrorCode initial_conditions_C_1(PetscInt dim, PetscReal time, const PetscReal xx[], PetscInt Nc, PetscScalar *u, PetscCtx ctx)
726 {
727 const PetscReal x = xx[0];
728 const PetscReal y = xx[1];
729
730 if (dim == 3) return PETSC_ERR_SUP;
731 u[0] = (2 - PetscAbsReal(x + y)) * PetscExpReal(-10 * PetscAbsReal(x - y));
732 u[1] = 0;
733 u[2] = (2 - PetscAbsReal(x + y)) * PetscExpReal(-10 * PetscAbsReal(x - y));
734 return PETSC_SUCCESS;
735 }
736
737 /* initial conditions for C: eq. 18 */
initial_conditions_C_2(PetscInt dim,PetscReal time,const PetscReal xx[],PetscInt Nc,PetscScalar * u,PetscCtx ctx)738 static PetscErrorCode initial_conditions_C_2(PetscInt dim, PetscReal time, const PetscReal xx[], PetscInt Nc, PetscScalar *u, PetscCtx ctx)
739 {
740 u[0] = 0;
741 u[1] = 0;
742 u[2] = 0;
743 if (dim == 3) {
744 u[3] = 0;
745 u[4] = 0;
746 u[5] = 0;
747 }
748 return PETSC_SUCCESS;
749 }
750
751 /* random initial conditions for the diagonal of C */
initial_conditions_C_random(PetscInt dim,PetscReal time,const PetscReal xx[],PetscInt Nc,PetscScalar * u,PetscCtx ctx)752 static PetscErrorCode initial_conditions_C_random(PetscInt dim, PetscReal time, const PetscReal xx[], PetscInt Nc, PetscScalar *u, PetscCtx ctx)
753 {
754 PetscScalar vals[3];
755 PetscRandom r = (PetscRandom)ctx;
756
757 PetscCall(PetscRandomGetValues(r, dim, vals));
758 if (dim == 2) {
759 u[0] = vals[0];
760 u[1] = 0;
761 u[2] = vals[1];
762 } else {
763 u[0] = vals[0];
764 u[1] = 0;
765 u[2] = 0;
766 u[3] = vals[1];
767 u[4] = 0;
768 u[5] = vals[2];
769 }
770 return PETSC_SUCCESS;
771 }
772
773 /* functionals to be sampled: zero */
zero(PetscInt dim,PetscInt Nf,PetscInt NfAux,const PetscInt uOff[],const PetscInt uOff_x[],const PetscScalar u[],const PetscScalar u_t[],const PetscScalar u_x[],const PetscInt aOff[],const PetscInt aOff_x[],const PetscScalar a[],const PetscScalar a_t[],const PetscScalar a_x[],PetscReal t,const PetscReal x[],PetscInt numConstants,const PetscScalar constants[],PetscScalar f[])774 static void zero(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar f[])
775 {
776 f[0] = 0.0;
777 }
778
779 /* functionals to be sampled: - (C + r) * \grad p */
flux(PetscInt dim,PetscInt Nf,PetscInt NfAux,const PetscInt uOff[],const PetscInt uOff_x[],const PetscScalar u[],const PetscScalar u_t[],const PetscScalar u_x[],const PetscInt aOff[],const PetscInt aOff_x[],const PetscScalar a[],const PetscScalar a_t[],const PetscScalar a_x[],PetscReal t,const PetscReal x[],PetscInt numConstants,const PetscScalar constants[],PetscScalar f[])780 static void flux(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar f[])
781 {
782 const PetscReal r = PetscRealPart(constants[R_ID]);
783 const PetscScalar *gradp = u_x + uOff_x[P_FIELD_ID];
784
785 if (dim == 2) {
786 const PetscScalar C00 = u[uOff[C_FIELD_ID]] + r;
787 const PetscScalar C01 = u[uOff[C_FIELD_ID] + 1];
788 const PetscScalar C10 = C01;
789 const PetscScalar C11 = u[uOff[C_FIELD_ID] + 2] + r;
790
791 f[0] = -C00 * gradp[0] - C01 * gradp[1];
792 f[1] = -C10 * gradp[0] - C11 * gradp[1];
793 } else {
794 const PetscScalar C00 = u[uOff[C_FIELD_ID]] + r;
795 const PetscScalar C01 = u[uOff[C_FIELD_ID] + 1];
796 const PetscScalar C02 = u[uOff[C_FIELD_ID] + 2];
797 const PetscScalar C10 = C01;
798 const PetscScalar C11 = u[uOff[C_FIELD_ID] + 3] + r;
799 const PetscScalar C12 = u[uOff[C_FIELD_ID] + 4];
800 const PetscScalar C20 = C02;
801 const PetscScalar C21 = C12;
802 const PetscScalar C22 = u[uOff[C_FIELD_ID] + 5] + r;
803
804 f[0] = -C00 * gradp[0] - C01 * gradp[1] - C02 * gradp[2];
805 f[1] = -C10 * gradp[0] - C11 * gradp[1] - C12 * gradp[2];
806 f[2] = -C20 * gradp[0] - C21 * gradp[1] - C22 * gradp[2];
807 }
808 }
809
810 /* functionals to be sampled: ||C|| */
normc(PetscInt dim,PetscInt Nf,PetscInt NfAux,const PetscInt uOff[],const PetscInt uOff_x[],const PetscScalar u[],const PetscScalar u_t[],const PetscScalar u_x[],const PetscInt aOff[],const PetscInt aOff_x[],const PetscScalar a[],const PetscScalar a_t[],const PetscScalar a_x[],PetscReal t,const PetscReal x[],PetscInt numConstants,const PetscScalar constants[],PetscScalar f[])811 static void normc(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar f[])
812 {
813 if (dim == 2) {
814 const PetscScalar C00 = u[uOff[C_FIELD_ID]];
815 const PetscScalar C01 = u[uOff[C_FIELD_ID] + 1];
816 const PetscScalar C11 = u[uOff[C_FIELD_ID] + 2];
817
818 f[0] = PetscSqrtReal(PetscRealPart(NORM2C(C00, C01, C11)));
819 } else {
820 const PetscScalar C00 = u[uOff[C_FIELD_ID]];
821 const PetscScalar C01 = u[uOff[C_FIELD_ID] + 1];
822 const PetscScalar C02 = u[uOff[C_FIELD_ID] + 2];
823 const PetscScalar C11 = u[uOff[C_FIELD_ID] + 3];
824 const PetscScalar C12 = u[uOff[C_FIELD_ID] + 4];
825 const PetscScalar C22 = u[uOff[C_FIELD_ID] + 5];
826
827 f[0] = PetscSqrtReal(PetscRealPart(NORM2C_3d(C00, C01, C02, C11, C12, C22)));
828 }
829 }
830
831 /* functionals to be sampled: eigenvalues of C */
eigsc(PetscInt dim,PetscInt Nf,PetscInt NfAux,const PetscInt uOff[],const PetscInt uOff_x[],const PetscScalar u[],const PetscScalar u_t[],const PetscScalar u_x[],const PetscInt aOff[],const PetscInt aOff_x[],const PetscScalar a[],const PetscScalar a_t[],const PetscScalar a_x[],PetscReal t,const PetscReal x[],PetscInt numConstants,const PetscScalar constants[],PetscScalar f[])832 static void eigsc(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar f[])
833 {
834 #if !PetscDefined(USE_COMPLEX)
835 PetscReal eigs[3];
836 PetscScalar C00, C01, C02 = 0.0, C11, C12 = 0.0, C22 = 0.0;
837 if (dim == 2) {
838 C00 = u[uOff[C_FIELD_ID]];
839 C01 = u[uOff[C_FIELD_ID] + 1];
840 C11 = u[uOff[C_FIELD_ID] + 2];
841 } else {
842 C00 = u[uOff[C_FIELD_ID]];
843 C01 = u[uOff[C_FIELD_ID] + 1];
844 C02 = u[uOff[C_FIELD_ID] + 2];
845 C11 = u[uOff[C_FIELD_ID] + 3];
846 C12 = u[uOff[C_FIELD_ID] + 4];
847 C22 = u[uOff[C_FIELD_ID] + 5];
848 }
849 Eigenvalues_Sym3x3(C00, C01, C02, C11, C12, C22, eigs);
850 PetscCallVoid(PetscSortReal(dim, eigs));
851 for (PetscInt d = 0; d < dim; d++) f[d] = eigs[d];
852 #else
853 for (PetscInt d = 0; d < dim; d++) f[d] = 0;
854 #endif
855 }
856
857 /* functions to be sampled: zero function */
zerof(PetscInt dim,PetscReal time,const PetscReal xx[],PetscInt Nc,PetscScalar * u,PetscCtx ctx)858 static PetscErrorCode zerof(PetscInt dim, PetscReal time, const PetscReal xx[], PetscInt Nc, PetscScalar *u, PetscCtx ctx)
859 {
860 for (PetscInt d = 0; d < Nc; ++d) u[d] = 0.0;
861 return PETSC_SUCCESS;
862 }
863
864 /* functions to be sampled: constant function */
constantf(PetscInt dim,PetscReal time,const PetscReal xx[],PetscInt Nc,PetscScalar * u,PetscCtx ctx)865 static PetscErrorCode constantf(PetscInt dim, PetscReal time, const PetscReal xx[], PetscInt Nc, PetscScalar *u, PetscCtx ctx)
866 {
867 for (PetscInt d = 0; d < Nc; ++d) u[d] = 1.0;
868 return PETSC_SUCCESS;
869 }
870
871 /* application context: customizable parameters */
872 typedef struct {
873 PetscInt dim;
874 PetscBool simplex;
875 PetscReal r;
876 PetscReal eps;
877 PetscReal alpha;
878 PetscReal gamma;
879 PetscReal D;
880 PetscReal domain_volume;
881 PetscInt ic_num;
882 PetscBool split;
883 PetscBool lump;
884 PetscBool amr;
885 PetscBool load;
886 char load_filename[PETSC_MAX_PATH_LEN];
887 PetscBool save;
888 char save_filename[PETSC_MAX_PATH_LEN];
889 PetscInt save_every;
890 PetscBool test_restart;
891 PetscInt fix_c;
892 MultiSourceCtx *source_ctx;
893 DM view_dm;
894 TSMonitorVTKCtx view_vtk_ctx;
895 PetscViewerAndFormat *view_hdf5_ctx;
896 PetscInt diagnostic_num;
897 PetscReal view_times[64];
898 PetscInt view_times_n, view_times_k;
899 PetscReal function_domain_error_tol;
900 VecScatter subsct[NUM_FIELDS];
901 Vec subvec[NUM_FIELDS];
902 PetscBool monitor_norms;
903 PetscBool exclude_potential_lte;
904
905 /* hack: need some more plumbing in the library */
906 SNES snes;
907 } AppCtx;
908
909 /* process command line options */
910 #include <petsc/private/tsimpl.h> /* To access TSMonitorVTKCtx */
ProcessOptions(AppCtx * options)911 static PetscErrorCode ProcessOptions(AppCtx *options)
912 {
913 char vtkmonfilename[PETSC_MAX_PATH_LEN];
914 char hdf5monfilename[PETSC_MAX_PATH_LEN];
915 PetscInt tmp;
916 PetscBool flg;
917
918 PetscFunctionBeginUser;
919 options->dim = 2;
920 options->r = 1.e-1;
921 options->eps = 1.e-3;
922 options->alpha = 0.75;
923 options->gamma = 0.75;
924 options->D = 1.e-2;
925 options->ic_num = 0;
926 options->split = PETSC_FALSE;
927 options->lump = PETSC_FALSE;
928 options->amr = PETSC_FALSE;
929 options->load = PETSC_FALSE;
930 options->save = PETSC_FALSE;
931 options->save_every = -1;
932 options->test_restart = PETSC_FALSE;
933 options->fix_c = 1; /* 1 means only Jac, 2 means function and Jac, < 0 means raise SNESFunctionDomainError when C+r is not posdef */
934 options->view_vtk_ctx = NULL;
935 options->view_hdf5_ctx = NULL;
936 options->view_dm = NULL;
937 options->diagnostic_num = 1;
938 options->function_domain_error_tol = -1;
939 options->monitor_norms = PETSC_FALSE;
940 options->exclude_potential_lte = PETSC_FALSE;
941 for (PetscInt i = 0; i < NUM_FIELDS; i++) {
942 options->subsct[i] = NULL;
943 options->subvec[i] = NULL;
944 }
945 for (PetscInt i = 0; i < 64; i++) options->view_times[i] = PETSC_MAX_REAL;
946
947 PetscOptionsBegin(PETSC_COMM_WORLD, "", __FILE__, "DMPLEX");
948 PetscCall(PetscOptionsInt("-dim", "space dimension", __FILE__, options->dim, &options->dim, NULL));
949 PetscCall(PetscOptionsReal("-alpha", "alpha", __FILE__, options->alpha, &options->alpha, NULL));
950 PetscCall(PetscOptionsReal("-gamma", "gamma", __FILE__, options->gamma, &options->gamma, NULL));
951 PetscCall(PetscOptionsReal("-d", "D", __FILE__, options->D, &options->D, NULL));
952 PetscCall(PetscOptionsReal("-eps", "eps", __FILE__, options->eps, &options->eps, NULL));
953 PetscCall(PetscOptionsReal("-r", "r", __FILE__, options->r, &options->r, NULL));
954 PetscCall(PetscOptionsInt("-ic_num", "ic_num", __FILE__, options->ic_num, &options->ic_num, NULL));
955 PetscCall(PetscOptionsBool("-split", "Operator splitting", __FILE__, options->split, &options->split, NULL));
956 PetscCall(PetscOptionsBool("-lump", "use mass lumping", __FILE__, options->lump, &options->lump, NULL));
957 PetscCall(PetscOptionsInt("-fix_c", "Fix conductivity: shift to always be positive semi-definite or raise domain error", __FILE__, options->fix_c, &options->fix_c, NULL));
958 PetscCall(PetscOptionsBool("-amr", "use adaptive mesh refinement", __FILE__, options->amr, &options->amr, NULL));
959 PetscCall(PetscOptionsReal("-domain_error_tol", "domain error tolerance", __FILE__, options->function_domain_error_tol, &options->function_domain_error_tol, NULL));
960 PetscCall(PetscOptionsBool("-test_restart", "test restarting files", __FILE__, options->test_restart, &options->test_restart, NULL));
961 if (!options->test_restart) {
962 PetscCall(PetscOptionsString("-load", "filename with data to be loaded for restarting", __FILE__, options->load_filename, options->load_filename, PETSC_MAX_PATH_LEN, &options->load));
963 PetscCall(PetscOptionsString("-save", "filename with data to be saved for restarting", __FILE__, options->save_filename, options->save_filename, PETSC_MAX_PATH_LEN, &options->save));
964 if (options->save) PetscCall(PetscOptionsInt("-save_every", "save every n timestep (-1 saves only the last)", __FILE__, options->save_every, &options->save_every, NULL));
965 }
966 PetscCall(PetscOptionsBool("-exclude_potential_lte", "exclude potential from LTE", __FILE__, options->exclude_potential_lte, &options->exclude_potential_lte, NULL));
967 options->view_times_k = 0;
968 options->view_times_n = 0;
969 PetscCall(PetscOptionsRealArray("-monitor_times", "Save at specific times", NULL, options->view_times, (tmp = 64, &tmp), &flg));
970 if (flg) options->view_times_n = tmp;
971
972 PetscCall(PetscOptionsString("-monitor_vtk", "Dump VTK file for diagnostic", "TSMonitorSolutionVTK", NULL, vtkmonfilename, sizeof(vtkmonfilename), &flg));
973 if (flg) {
974 PetscCall(TSMonitorSolutionVTKCtxCreate(vtkmonfilename, &options->view_vtk_ctx));
975 PetscCall(PetscOptionsInt("-monitor_vtk_interval", "Save every interval time steps", NULL, options->view_vtk_ctx->interval, &options->view_vtk_ctx->interval, NULL));
976 }
977 PetscCall(PetscOptionsString("-monitor_hdf5", "Dump HDF5 file for diagnostic", "TSMonitorSolution", NULL, hdf5monfilename, sizeof(hdf5monfilename), &flg));
978 PetscCall(PetscOptionsInt("-monitor_diagnostic_num", "Number of diagnostics to be computed", __FILE__, options->diagnostic_num, &options->diagnostic_num, NULL));
979
980 if (flg) {
981 #if defined(PETSC_HAVE_HDF5)
982 PetscViewer viewer;
983
984 PetscCall(PetscViewerHDF5Open(PETSC_COMM_WORLD, hdf5monfilename, FILE_MODE_WRITE, &viewer));
985 PetscCall(PetscViewerAndFormatCreate(viewer, PETSC_VIEWER_HDF5_VIZ, &options->view_hdf5_ctx));
986 options->view_hdf5_ctx->view_interval = 1;
987 PetscCall(PetscOptionsInt("-monitor_hdf5_interval", "Save every interval time steps", NULL, options->view_hdf5_ctx->view_interval, &options->view_hdf5_ctx->view_interval, NULL));
988 PetscCall(PetscViewerDestroy(&viewer));
989 #else
990 SETERRQ(PETSC_COMM_WORLD, PETSC_ERR_SUP, "Needs HDF5 support. Please reconfigure using --download-hdf5");
991 #endif
992 }
993 PetscCall(PetscOptionsBool("-monitor_norms", "Monitor separate SNES norms", __FILE__, options->monitor_norms, &options->monitor_norms, NULL));
994
995 /* source options */
996 PetscCall(PetscNew(&options->source_ctx));
997 options->source_ctx->n = 1;
998
999 PetscCall(PetscOptionsInt("-source_num", "number of sources", __FILE__, options->source_ctx->n, &options->source_ctx->n, NULL));
1000 tmp = options->source_ctx->n;
1001 PetscCall(PetscMalloc5(options->dim * tmp, &options->source_ctx->x0, tmp, &options->source_ctx->w, tmp, &options->source_ctx->k, tmp, &options->source_ctx->p, tmp, &options->source_ctx->r));
1002 for (PetscInt i = 0; i < options->source_ctx->n; i++) {
1003 for (PetscInt d = 0; d < options->dim; d++) options->source_ctx->x0[options->dim * i + d] = 0.25;
1004 options->source_ctx->w[i] = 500;
1005 options->source_ctx->k[i] = 0;
1006 options->source_ctx->p[i] = 0;
1007 options->source_ctx->r[i] = 1;
1008 }
1009 tmp = options->dim * options->source_ctx->n;
1010 PetscCall(PetscOptionsRealArray("-source_x0", "source location", __FILE__, options->source_ctx->x0, &tmp, NULL));
1011 tmp = options->source_ctx->n;
1012 PetscCall(PetscOptionsRealArray("-source_w", "source factor", __FILE__, options->source_ctx->w, &tmp, NULL));
1013 tmp = options->source_ctx->n;
1014 PetscCall(PetscOptionsRealArray("-source_k", "source frequency", __FILE__, options->source_ctx->k, &tmp, NULL));
1015 tmp = options->source_ctx->n;
1016 PetscCall(PetscOptionsRealArray("-source_p", "source phase", __FILE__, options->source_ctx->p, &tmp, NULL));
1017 tmp = options->source_ctx->n;
1018 PetscCall(PetscOptionsRealArray("-source_r", "source scaling", __FILE__, options->source_ctx->r, &tmp, NULL));
1019 PetscOptionsEnd();
1020 PetscFunctionReturn(PETSC_SUCCESS);
1021 }
1022
SaveToFile(DM dm,Vec u,const char * filename)1023 static PetscErrorCode SaveToFile(DM dm, Vec u, const char *filename)
1024 {
1025 #if defined(PETSC_HAVE_HDF5)
1026 PetscViewerFormat format = PETSC_VIEWER_HDF5_PETSC;
1027 PetscViewer viewer;
1028 DM cdm = dm;
1029 PetscInt numlevels = 0;
1030
1031 PetscFunctionBeginUser;
1032 while (cdm) {
1033 numlevels++;
1034 PetscCall(DMGetCoarseDM(cdm, &cdm));
1035 }
1036 /* Cannot be set programmatically */
1037 PetscCall(PetscOptionsInsertString(NULL, "-dm_plex_view_hdf5_storage_version 3.0.0"));
1038 PetscCall(PetscViewerHDF5Open(PetscObjectComm((PetscObject)dm), filename, FILE_MODE_WRITE, &viewer));
1039 PetscCall(PetscViewerHDF5WriteAttribute(viewer, NULL, "numlevels", PETSC_INT, &numlevels));
1040 PetscCall(PetscViewerPushFormat(viewer, format));
1041 for (PetscInt level = numlevels - 1; level >= 0; level--) {
1042 PetscInt cc, rr;
1043 PetscBool isRegular, isUniform;
1044 const char *dmname;
1045 char groupname[PETSC_MAX_PATH_LEN];
1046
1047 PetscCall(PetscSNPrintf(groupname, sizeof(groupname), "level_%" PetscInt_FMT, level));
1048 PetscCall(PetscViewerHDF5PushGroup(viewer, groupname));
1049 PetscCall(PetscObjectGetName((PetscObject)dm, &dmname));
1050 PetscCall(DMGetCoarsenLevel(dm, &cc));
1051 PetscCall(DMGetRefineLevel(dm, &rr));
1052 PetscCall(DMPlexGetRegularRefinement(dm, &isRegular));
1053 PetscCall(DMPlexGetRefinementUniform(dm, &isUniform));
1054 PetscCall(PetscViewerHDF5WriteAttribute(viewer, NULL, "meshname", PETSC_STRING, dmname));
1055 PetscCall(PetscViewerHDF5WriteAttribute(viewer, NULL, "refinelevel", PETSC_INT, &rr));
1056 PetscCall(PetscViewerHDF5WriteAttribute(viewer, NULL, "coarsenlevel", PETSC_INT, &cc));
1057 PetscCall(PetscViewerHDF5WriteAttribute(viewer, NULL, "refRegular", PETSC_BOOL, &isRegular));
1058 PetscCall(PetscViewerHDF5WriteAttribute(viewer, NULL, "refUniform", PETSC_BOOL, &isUniform));
1059 PetscCall(DMPlexTopologyView(dm, viewer));
1060 PetscCall(DMPlexLabelsView(dm, viewer));
1061 PetscCall(DMPlexCoordinatesView(dm, viewer));
1062 PetscCall(DMPlexSectionView(dm, viewer, NULL));
1063 if (level == numlevels - 1) {
1064 PetscCall(PetscObjectSetName((PetscObject)u, "solution_"));
1065 PetscCall(DMPlexGlobalVectorView(dm, viewer, NULL, u));
1066 }
1067 if (level) {
1068 PetscInt cStart, cEnd, ccStart, ccEnd, cpStart;
1069 DMPolytopeType ct;
1070 DMPlexTransform tr;
1071 DM sdm;
1072 PetscScalar *array;
1073 PetscSection section;
1074 Vec map;
1075 IS gis;
1076 const PetscInt *gidx;
1077
1078 PetscCall(DMGetCoarseDM(dm, &cdm));
1079 PetscCall(DMPlexGetHeightStratum(dm, 0, &cStart, &cEnd));
1080 PetscCall(PetscSectionCreate(PetscObjectComm((PetscObject)dm), §ion));
1081 PetscCall(PetscSectionSetChart(section, cStart, cEnd));
1082 for (PetscInt c = cStart; c < cEnd; c++) PetscCall(PetscSectionSetDof(section, c, 1));
1083 PetscCall(PetscSectionSetUp(section));
1084
1085 PetscCall(DMClone(dm, &sdm));
1086 PetscCall(PetscObjectSetName((PetscObject)sdm, "pdm"));
1087 PetscCall(PetscObjectSetName((PetscObject)section, "pdm_section"));
1088 PetscCall(DMSetLocalSection(sdm, section));
1089 PetscCall(PetscSectionDestroy(§ion));
1090
1091 PetscCall(DMGetLocalVector(sdm, &map));
1092 PetscCall(PetscObjectSetName((PetscObject)map, "pdm_map"));
1093 PetscCall(VecGetArray(map, &array));
1094 PetscCall(DMPlexTransformCreate(PETSC_COMM_SELF, &tr));
1095 PetscCall(DMPlexTransformSetType(tr, DMPLEXREFINEREGULAR));
1096 PetscCall(DMPlexTransformSetDM(tr, cdm));
1097 PetscCall(DMPlexTransformSetFromOptions(tr));
1098 PetscCall(DMPlexTransformSetUp(tr));
1099 PetscCall(DMPlexGetHeightStratum(cdm, 0, &ccStart, &ccEnd));
1100 PetscCall(DMPlexGetChart(cdm, &cpStart, NULL));
1101 PetscCall(DMPlexCreatePointNumbering(cdm, &gis));
1102 PetscCall(ISGetIndices(gis, &gidx));
1103 for (PetscInt c = ccStart; c < ccEnd; c++) {
1104 PetscInt *rsize, *rcone, *rornt, Nt;
1105 DMPolytopeType *rct;
1106 PetscInt gnum = gidx[c - cpStart] >= 0 ? gidx[c - cpStart] : -(gidx[c - cpStart] + 1);
1107
1108 PetscCall(DMPlexGetCellType(cdm, c, &ct));
1109 PetscCall(DMPlexTransformCellTransform(tr, ct, c, NULL, &Nt, &rct, &rsize, &rcone, &rornt));
1110 for (PetscInt r = 0; r < rsize[Nt - 1]; ++r) {
1111 PetscInt pNew;
1112
1113 PetscCall(DMPlexTransformGetTargetPoint(tr, ct, rct[Nt - 1], c, r, &pNew));
1114 array[pNew - cStart] = gnum;
1115 }
1116 }
1117 PetscCall(ISRestoreIndices(gis, &gidx));
1118 PetscCall(ISDestroy(&gis));
1119 PetscCall(VecRestoreArray(map, &array));
1120 PetscCall(DMPlexTransformDestroy(&tr));
1121 PetscCall(DMPlexSectionView(dm, viewer, sdm));
1122 PetscCall(DMPlexLocalVectorView(dm, viewer, sdm, map));
1123 PetscCall(DMRestoreLocalVector(sdm, &map));
1124 PetscCall(DMDestroy(&sdm));
1125 }
1126 PetscCall(PetscViewerHDF5PopGroup(viewer));
1127 PetscCall(DMGetCoarseDM(dm, &dm));
1128 }
1129 PetscCall(PetscViewerPopFormat(viewer));
1130 PetscCall(PetscViewerDestroy(&viewer));
1131 PetscFunctionReturn(PETSC_SUCCESS);
1132 #else
1133 SETERRQ(PetscObjectComm((PetscObject)dm), PETSC_ERR_SUP, "Needs HDF5 support. Please reconfigure using --download-hdf5");
1134 #endif
1135 }
1136
LoadFromFile(MPI_Comm comm,const char * filename,DM * odm)1137 static PetscErrorCode LoadFromFile(MPI_Comm comm, const char *filename, DM *odm)
1138 {
1139 #if defined(PETSC_HAVE_HDF5)
1140 PetscViewerFormat format = PETSC_VIEWER_HDF5_PETSC;
1141 PetscViewer viewer;
1142 DM dm, cdm = NULL;
1143 PetscSF sfXC = NULL;
1144 PetscInt numlevels = -1;
1145
1146 PetscFunctionBeginUser;
1147 PetscCall(PetscViewerHDF5Open(comm, filename, FILE_MODE_READ, &viewer));
1148 PetscCall(PetscViewerHDF5ReadAttribute(viewer, NULL, "numlevels", PETSC_INT, NULL, &numlevels));
1149 PetscCall(PetscViewerPushFormat(viewer, format));
1150 for (PetscInt level = 0; level < numlevels; level++) {
1151 char groupname[PETSC_MAX_PATH_LEN], *dmname;
1152 PetscSF sfXB, sfBC, sfG;
1153 PetscPartitioner part;
1154 PetscInt rr, cc;
1155 PetscBool isRegular, isUniform;
1156
1157 PetscCall(DMCreate(comm, &dm));
1158 PetscCall(DMSetType(dm, DMPLEX));
1159 PetscCall(PetscSNPrintf(groupname, sizeof(groupname), "level_%" PetscInt_FMT, level));
1160 PetscCall(PetscViewerHDF5PushGroup(viewer, groupname));
1161 PetscCall(PetscViewerHDF5ReadAttribute(viewer, NULL, "meshname", PETSC_STRING, NULL, &dmname));
1162 PetscCall(PetscViewerHDF5ReadAttribute(viewer, NULL, "refinelevel", PETSC_INT, NULL, &rr));
1163 PetscCall(PetscViewerHDF5ReadAttribute(viewer, NULL, "coarsenlevel", PETSC_INT, NULL, &cc));
1164 PetscCall(PetscViewerHDF5ReadAttribute(viewer, NULL, "refRegular", PETSC_BOOL, NULL, &isRegular));
1165 PetscCall(PetscViewerHDF5ReadAttribute(viewer, NULL, "refUniform", PETSC_BOOL, NULL, &isUniform));
1166 PetscCall(PetscObjectSetName((PetscObject)dm, dmname));
1167 PetscCall(DMPlexTopologyLoad(dm, viewer, &sfXB));
1168 PetscCall(DMPlexLabelsLoad(dm, viewer, sfXB));
1169 PetscCall(DMPlexCoordinatesLoad(dm, viewer, sfXB));
1170 PetscCall(DMPlexGetPartitioner(dm, &part));
1171 if (!level) { /* partition the coarse level only */
1172 PetscCall(PetscPartitionerSetFromOptions(part));
1173 } else { /* propagate partitioning information from coarser to finer level */
1174 DM sdm;
1175 Vec map;
1176 PetscSF sf;
1177 PetscLayout clayout;
1178 PetscScalar *array;
1179 PetscInt *cranks_leaf, *cranks_root, *npoints, *points, *ranks, *starts, *gidxs;
1180 PetscInt nparts, cStart, cEnd, nr, ccStart, ccEnd, cpStart, cpEnd;
1181 PetscMPIInt size, rank;
1182
1183 PetscCall(DMClone(dm, &sdm));
1184 PetscCall(PetscObjectSetName((PetscObject)sdm, "pdm"));
1185 PetscCall(DMPlexSectionLoad(dm, viewer, sdm, sfXB, NULL, &sf));
1186 PetscCall(DMGetLocalVector(sdm, &map));
1187 PetscCall(PetscObjectSetName((PetscObject)map, "pdm_map"));
1188 PetscCall(DMPlexLocalVectorLoad(dm, viewer, sdm, sf, map));
1189
1190 PetscCallMPI(MPI_Comm_size(comm, &size));
1191 PetscCallMPI(MPI_Comm_rank(comm, &rank));
1192 nparts = size;
1193 PetscCall(DMPlexGetHeightStratum(dm, 0, &cStart, &cEnd));
1194 PetscCall(DMPlexGetHeightStratum(cdm, 0, &ccStart, &ccEnd));
1195 PetscCall(DMPlexGetChart(cdm, &cpStart, &cpEnd));
1196 PetscCall(PetscCalloc1(nparts, &npoints));
1197 PetscCall(PetscMalloc4(cEnd - cStart, &points, cEnd - cStart, &ranks, nparts + 1, &starts, cEnd - cStart, &gidxs));
1198 PetscCall(PetscSFGetGraph(sfXC, &nr, NULL, NULL, NULL));
1199 PetscCall(PetscMalloc2(cpEnd - cpStart, &cranks_leaf, nr, &cranks_root));
1200 for (PetscInt c = 0; c < cpEnd - cpStart; c++) cranks_leaf[c] = rank;
1201 PetscCall(PetscSFReduceBegin(sfXC, MPIU_INT, cranks_leaf, cranks_root, MPI_REPLACE));
1202 PetscCall(PetscSFReduceEnd(sfXC, MPIU_INT, cranks_leaf, cranks_root, MPI_REPLACE));
1203
1204 PetscCall(VecGetArray(map, &array));
1205 for (PetscInt c = 0; c < cEnd - cStart; c++) gidxs[c] = (PetscInt)PetscRealPart(array[c]);
1206 PetscCall(VecRestoreArray(map, &array));
1207
1208 PetscCall(PetscLayoutCreate(comm, &clayout));
1209 PetscCall(PetscLayoutSetLocalSize(clayout, nr));
1210 PetscCall(PetscSFSetGraphLayout(sf, clayout, cEnd - cStart, NULL, PETSC_OWN_POINTER, gidxs));
1211 PetscCall(PetscLayoutDestroy(&clayout));
1212
1213 PetscCall(PetscSFBcastBegin(sf, MPIU_INT, cranks_root, ranks, MPI_REPLACE));
1214 PetscCall(PetscSFBcastEnd(sf, MPIU_INT, cranks_root, ranks, MPI_REPLACE));
1215 PetscCall(PetscSFDestroy(&sf));
1216 PetscCall(PetscFree2(cranks_leaf, cranks_root));
1217 for (PetscInt c = 0; c < cEnd - cStart; c++) npoints[ranks[c]]++;
1218
1219 starts[0] = 0;
1220 for (PetscInt c = 0; c < nparts; c++) starts[c + 1] = starts[c] + npoints[c];
1221 for (PetscInt c = 0; c < cEnd - cStart; c++) points[starts[ranks[c]]++] = c;
1222 PetscCall(PetscPartitionerSetType(part, PETSCPARTITIONERSHELL));
1223 PetscCall(PetscPartitionerShellSetPartition(part, nparts, npoints, points));
1224 PetscCall(PetscFree(npoints));
1225 PetscCall(PetscFree4(points, ranks, starts, gidxs));
1226 PetscCall(DMRestoreLocalVector(sdm, &map));
1227 PetscCall(DMDestroy(&sdm));
1228 }
1229 PetscCall(PetscSFDestroy(&sfXC));
1230 PetscCall(DMPlexDistribute(dm, 0, &sfBC, odm));
1231 if (*odm) {
1232 PetscCall(DMDestroy(&dm));
1233 dm = *odm;
1234 *odm = NULL;
1235 PetscCall(PetscObjectSetName((PetscObject)dm, dmname));
1236 }
1237 if (sfBC) PetscCall(PetscSFCompose(sfXB, sfBC, &sfXC));
1238 else {
1239 PetscCall(PetscObjectReference((PetscObject)sfXB));
1240 sfXC = sfXB;
1241 }
1242 PetscCall(PetscSFDestroy(&sfXB));
1243 PetscCall(PetscSFDestroy(&sfBC));
1244 PetscCall(DMSetCoarsenLevel(dm, cc));
1245 PetscCall(DMSetRefineLevel(dm, rr));
1246 PetscCall(DMPlexSetRegularRefinement(dm, isRegular));
1247 PetscCall(DMPlexSetRefinementUniform(dm, isUniform));
1248 PetscCall(DMPlexSectionLoad(dm, viewer, NULL, sfXC, &sfG, NULL));
1249 if (level == numlevels - 1) {
1250 Vec u;
1251
1252 PetscCall(DMGetNamedGlobalVector(dm, "solution_", &u));
1253 PetscCall(PetscObjectSetName((PetscObject)u, "solution_"));
1254 PetscCall(DMPlexGlobalVectorLoad(dm, viewer, NULL, sfG, u));
1255 PetscCall(DMRestoreNamedGlobalVector(dm, "solution_", &u));
1256 }
1257 PetscCall(PetscFree(dmname));
1258 PetscCall(PetscSFDestroy(&sfG));
1259 PetscCall(DMSetCoarseDM(dm, cdm));
1260 PetscCall(DMDestroy(&cdm));
1261 PetscCall(PetscViewerHDF5PopGroup(viewer));
1262 cdm = dm;
1263 }
1264 *odm = dm;
1265 PetscCall(PetscViewerPopFormat(viewer));
1266 PetscCall(PetscViewerDestroy(&viewer));
1267 PetscCall(PetscSFDestroy(&sfXC));
1268 PetscFunctionReturn(PETSC_SUCCESS);
1269 #else
1270 SETERRQ(comm, PETSC_ERR_SUP, "Needs HDF5 support. Please reconfigure using --download-hdf5");
1271 #endif
1272 }
1273
1274 /*
1275 Setup AuxDM:
1276 - project source function and make it zero-mean
1277 - sample frozen fields for operator splitting
1278 */
ProjectAuxDM(DM dm,PetscReal time,Vec u,AppCtx * ctx)1279 static PetscErrorCode ProjectAuxDM(DM dm, PetscReal time, Vec u, AppCtx *ctx)
1280 {
1281 DM dmAux;
1282 Vec la, a;
1283 void *ctxs[NUM_FIELDS + 1];
1284 PetscScalar vals[NUM_FIELDS + 1];
1285 VecScatter sctAux;
1286 PetscDS ds;
1287 PetscErrorCode (*funcs[NUM_FIELDS + 1])(PetscInt, PetscReal, const PetscReal[], PetscInt, PetscScalar *, void *);
1288
1289 PetscFunctionBeginUser;
1290 PetscCall(DMGetAuxiliaryVec(dm, NULL, 0, 0, &la));
1291 if (!la) {
1292 PetscFE field;
1293 PetscInt fields[NUM_FIELDS];
1294 IS is;
1295 Vec tu, ta;
1296 PetscInt dim;
1297
1298 PetscCall(DMClone(dm, &dmAux));
1299 PetscCall(DMSetNumFields(dmAux, NUM_FIELDS + 1));
1300 for (PetscInt i = 0; i < NUM_FIELDS; i++) {
1301 PetscCall(DMGetField(dm, i, NULL, (PetscObject *)&field));
1302 PetscCall(DMSetField(dmAux, i, NULL, (PetscObject)field));
1303 fields[i] = i;
1304 }
1305 /* PetscFEDuplicate? */
1306 PetscCall(DMGetDimension(dm, &dim));
1307 PetscCall(PetscFECreateDefault(PetscObjectComm((PetscObject)dm), dim, 1, ctx->simplex, "p_", -1, &field));
1308 PetscCall(PetscObjectSetName((PetscObject)field, "source"));
1309 PetscCall(DMSetField(dmAux, NUM_FIELDS, NULL, (PetscObject)field));
1310 PetscCall(PetscFEDestroy(&field));
1311 PetscCall(DMCreateDS(dmAux));
1312 PetscCall(DMCreateSubDM(dmAux, NUM_FIELDS, fields, &is, NULL));
1313 PetscCall(DMGetGlobalVector(dm, &tu));
1314 PetscCall(DMGetGlobalVector(dmAux, &ta));
1315 PetscCall(VecScatterCreate(tu, NULL, ta, is, &sctAux));
1316 PetscCall(DMRestoreGlobalVector(dm, &tu));
1317 PetscCall(DMRestoreGlobalVector(dmAux, &ta));
1318 PetscCall(PetscObjectCompose((PetscObject)dmAux, "scatterAux", (PetscObject)sctAux));
1319 PetscCall(VecScatterDestroy(&sctAux));
1320 PetscCall(ISDestroy(&is));
1321 PetscCall(DMCreateLocalVector(dmAux, &la));
1322 PetscCall(PetscObjectSetName((PetscObject)la, "auxiliary_"));
1323 PetscCall(DMSetAuxiliaryVec(dm, NULL, 0, 0, la));
1324 PetscCall(DMDestroy(&dmAux));
1325 PetscCall(VecDestroy(&la));
1326 }
1327 if (time == PETSC_MIN_REAL) PetscFunctionReturn(PETSC_SUCCESS);
1328
1329 PetscCall(DMGetAuxiliaryVec(dm, NULL, 0, 0, &la));
1330 PetscCall(VecGetDM(la, &dmAux));
1331 PetscCall(DMGetDS(dmAux, &ds));
1332 PetscCall(DMGetGlobalVector(dmAux, &a));
1333 funcs[C_FIELD_ID] = zerof;
1334 ctxs[C_FIELD_ID] = NULL;
1335 funcs[P_FIELD_ID] = zerof;
1336 ctxs[P_FIELD_ID] = NULL;
1337 funcs[NUM_FIELDS] = source;
1338 ctxs[NUM_FIELDS] = ctx->source_ctx;
1339 PetscCall(DMProjectFunction(dmAux, time, funcs, ctxs, INSERT_ALL_VALUES, a));
1340 PetscCall(PetscDSSetObjective(ds, P_FIELD_ID, zero));
1341 PetscCall(PetscDSSetObjective(ds, C_FIELD_ID, zero));
1342 PetscCall(PetscDSSetObjective(ds, NUM_FIELDS, average));
1343 PetscCall(DMPlexComputeIntegralFEM(dmAux, a, vals, NULL));
1344 PetscCall(VecShift(a, -vals[NUM_FIELDS] / ctx->domain_volume));
1345 if (u) {
1346 PetscCall(PetscObjectQuery((PetscObject)dmAux, "scatterAux", (PetscObject *)&sctAux));
1347 PetscCheck(sctAux, PetscObjectComm((PetscObject)dm), PETSC_ERR_PLIB, "Missing scatterAux");
1348 PetscCall(VecScatterBegin(sctAux, u, a, INSERT_VALUES, SCATTER_FORWARD));
1349 PetscCall(VecScatterEnd(sctAux, u, a, INSERT_VALUES, SCATTER_FORWARD));
1350 }
1351 PetscCall(DMGlobalToLocal(dmAux, a, INSERT_VALUES, la));
1352 PetscCall(VecViewFromOptions(la, NULL, "-aux_view"));
1353 PetscCall(DMRestoreGlobalVector(dmAux, &a));
1354 PetscFunctionReturn(PETSC_SUCCESS);
1355 }
1356
1357 /* callback for the creation of the potential null space */
CreatePotentialNullSpace(DM dm,PetscInt ofield,PetscInt nfield,MatNullSpace * nullSpace)1358 static PetscErrorCode CreatePotentialNullSpace(DM dm, PetscInt ofield, PetscInt nfield, MatNullSpace *nullSpace)
1359 {
1360 Vec vec;
1361 PetscErrorCode (*funcs[NUM_FIELDS])(PetscInt, PetscReal, const PetscReal[], PetscInt, PetscScalar *, void *) = {zerof};
1362
1363 PetscFunctionBeginUser;
1364 funcs[nfield] = constantf;
1365 PetscCall(DMCreateGlobalVector(dm, &vec));
1366 PetscCall(DMProjectFunction(dm, 0.0, funcs, NULL, INSERT_ALL_VALUES, vec));
1367 PetscCall(VecNormalize(vec, NULL));
1368 PetscCall(MatNullSpaceCreate(PetscObjectComm((PetscObject)dm), PETSC_FALSE, 1, &vec, nullSpace));
1369 /* break ref cycles */
1370 PetscCall(VecSetDM(vec, NULL));
1371 PetscCall(VecDestroy(&vec));
1372 PetscFunctionReturn(PETSC_SUCCESS);
1373 }
1374
DMGetLumpedMass(DM dm,PetscBool local,Vec * lumped_mass)1375 static PetscErrorCode DMGetLumpedMass(DM dm, PetscBool local, Vec *lumped_mass)
1376 {
1377 PetscBool has;
1378
1379 PetscFunctionBeginUser;
1380 if (local) {
1381 PetscCall(DMHasNamedLocalVector(dm, "lumped_mass", &has));
1382 PetscCall(DMGetNamedLocalVector(dm, "lumped_mass", lumped_mass));
1383 } else {
1384 PetscCall(DMHasNamedGlobalVector(dm, "lumped_mass", &has));
1385 PetscCall(DMGetNamedGlobalVector(dm, "lumped_mass", lumped_mass));
1386 }
1387 if (!has) {
1388 Vec w;
1389 IS is;
1390
1391 PetscCall(PetscObjectQuery((PetscObject)dm, "IS potential", (PetscObject *)&is));
1392 PetscCheck(is, PetscObjectComm((PetscObject)dm), PETSC_ERR_PLIB, "Missing potential IS");
1393 if (local) {
1394 Vec w2, wg;
1395
1396 PetscCall(DMCreateMassMatrixLumped(dm, &w, NULL));
1397 PetscCall(DMGetGlobalVector(dm, &wg));
1398 PetscCall(DMGetLocalVector(dm, &w2));
1399 PetscCall(VecSet(w2, 0.0));
1400 PetscCall(VecSet(wg, 1.0));
1401 PetscCall(VecISSet(wg, is, 0.0));
1402 PetscCall(DMGlobalToLocal(dm, wg, INSERT_VALUES, w2));
1403 PetscCall(VecPointwiseMult(w, w, w2));
1404 PetscCall(DMRestoreGlobalVector(dm, &wg));
1405 PetscCall(DMRestoreLocalVector(dm, &w2));
1406 } else {
1407 PetscCall(DMCreateMassMatrixLumped(dm, NULL, &w));
1408 PetscCall(VecISSet(w, is, 0.0));
1409 }
1410 PetscCall(VecCopy(w, *lumped_mass));
1411 PetscCall(VecDestroy(&w));
1412 }
1413 PetscFunctionReturn(PETSC_SUCCESS);
1414 }
1415
DMRestoreLumpedMass(DM dm,PetscBool local,Vec * lumped_mass)1416 static PetscErrorCode DMRestoreLumpedMass(DM dm, PetscBool local, Vec *lumped_mass)
1417 {
1418 PetscFunctionBeginUser;
1419 if (local) PetscCall(DMRestoreNamedLocalVector(dm, "lumped_mass", lumped_mass));
1420 else PetscCall(DMRestoreNamedGlobalVector(dm, "lumped_mass", lumped_mass));
1421 PetscFunctionReturn(PETSC_SUCCESS);
1422 }
1423
1424 /* callbacks for residual and Jacobian */
DMPlexTSComputeIFunctionFEM_Private(DM dm,PetscReal time,Vec locX,Vec locX_t,Vec locF,void * user)1425 static PetscErrorCode DMPlexTSComputeIFunctionFEM_Private(DM dm, PetscReal time, Vec locX, Vec locX_t, Vec locF, void *user)
1426 {
1427 Vec work, local_lumped_mass;
1428 AppCtx *ctx = (AppCtx *)user;
1429
1430 PetscFunctionBeginUser;
1431 if (ctx->fix_c < 0) {
1432 PetscReal vals[NUM_FIELDS];
1433 PetscDS ds;
1434
1435 PetscCall(DMGetDS(dm, &ds));
1436 PetscCall(PetscDSSetObjective(ds, C_FIELD_ID, jacobian_fail));
1437 PetscCall(DMPlexSNESComputeObjectiveFEM(dm, locX, vals, NULL));
1438 PetscCall(PetscDSSetObjective(ds, C_FIELD_ID, energy));
1439 if (vals[C_FIELD_ID]) PetscCall(SNESSetFunctionDomainError(ctx->snes));
1440 }
1441 if (ctx->lump) {
1442 PetscCall(DMGetLumpedMass(dm, PETSC_TRUE, &local_lumped_mass));
1443 PetscCall(DMGetLocalVector(dm, &work));
1444 PetscCall(VecSet(work, 0.0));
1445 PetscCall(DMPlexTSComputeIFunctionFEM(dm, time, locX, work, locF, user));
1446 PetscCall(VecPointwiseMult(work, locX_t, local_lumped_mass));
1447 PetscCall(VecAXPY(locF, 1.0, work));
1448 PetscCall(DMRestoreLocalVector(dm, &work));
1449 PetscCall(DMRestoreLumpedMass(dm, PETSC_TRUE, &local_lumped_mass));
1450 } else {
1451 PetscCall(DMPlexTSComputeIFunctionFEM(dm, time, locX, locX_t, locF, user));
1452 }
1453 PetscFunctionReturn(PETSC_SUCCESS);
1454 }
1455
DMPlexTSComputeIJacobianFEM_Private(DM dm,PetscReal time,Vec locX,Vec locX_t,PetscReal X_tShift,Mat Jac,Mat JacP,void * user)1456 static PetscErrorCode DMPlexTSComputeIJacobianFEM_Private(DM dm, PetscReal time, Vec locX, Vec locX_t, PetscReal X_tShift, Mat Jac, Mat JacP, void *user)
1457 {
1458 Vec lumped_mass, work;
1459 AppCtx *ctx = (AppCtx *)user;
1460
1461 PetscFunctionBeginUser;
1462 if (ctx->lump) {
1463 PetscCall(DMGetLumpedMass(dm, PETSC_FALSE, &lumped_mass));
1464 PetscCall(DMPlexTSComputeIJacobianFEM(dm, time, locX, locX_t, 0.0, Jac, JacP, user));
1465 PetscCall(DMGetGlobalVector(dm, &work));
1466 PetscCall(VecAXPBY(work, X_tShift, 0.0, lumped_mass));
1467 PetscCall(MatDiagonalSet(JacP, work, ADD_VALUES));
1468 PetscCall(DMRestoreGlobalVector(dm, &work));
1469 PetscCall(DMRestoreLumpedMass(dm, PETSC_FALSE, &lumped_mass));
1470 } else {
1471 PetscCall(DMPlexTSComputeIJacobianFEM(dm, time, locX, locX_t, X_tShift, Jac, JacP, user));
1472 }
1473 PetscFunctionReturn(PETSC_SUCCESS);
1474 }
1475
1476 /* customize residuals and Jacobians */
SetupProblem(DM dm,AppCtx * ctx)1477 static PetscErrorCode SetupProblem(DM dm, AppCtx *ctx)
1478 {
1479 PetscDS ds;
1480 PetscInt cdim, dim;
1481 PetscScalar constants[NUM_CONSTANTS];
1482 PetscScalar vals[NUM_FIELDS];
1483 PetscInt fields[NUM_FIELDS] = {C_FIELD_ID, P_FIELD_ID};
1484 Vec dummy;
1485 IS is;
1486
1487 PetscFunctionBeginUser;
1488 constants[R_ID] = ctx->r;
1489 constants[EPS_ID] = ctx->eps;
1490 constants[ALPHA_ID] = ctx->alpha;
1491 constants[GAMMA_ID] = ctx->gamma;
1492 constants[D_ID] = ctx->D;
1493 constants[FIXC_ID] = ctx->fix_c;
1494 constants[SPLIT_ID] = ctx->split;
1495
1496 PetscCall(DMGetDimension(dm, &dim));
1497 PetscCall(DMGetCoordinateDim(dm, &cdim));
1498 PetscCheck(dim == 2 || dim == 3, PetscObjectComm((PetscObject)dm), PETSC_ERR_SUP, "Topological dimension must be 2 or 3");
1499 PetscCheck(dim == ctx->dim, PetscObjectComm((PetscObject)dm), PETSC_ERR_SUP, "Topological dimension mismatch: expected %" PetscInt_FMT ", found %" PetscInt_FMT, dim, ctx->dim);
1500 PetscCheck(cdim == ctx->dim, PetscObjectComm((PetscObject)dm), PETSC_ERR_SUP, "Geometrical dimension mismatch: expected %" PetscInt_FMT ", found %" PetscInt_FMT, cdim, ctx->dim);
1501 PetscCall(DMGetDS(dm, &ds));
1502 PetscCall(PetscDSSetConstants(ds, NUM_CONSTANTS, constants));
1503 PetscCall(PetscDSSetImplicit(ds, C_FIELD_ID, PETSC_TRUE));
1504 PetscCall(PetscDSSetImplicit(ds, P_FIELD_ID, PETSC_TRUE));
1505 PetscCall(PetscDSSetObjective(ds, C_FIELD_ID, energy));
1506 PetscCall(PetscDSSetObjective(ds, P_FIELD_ID, zero));
1507 if (ctx->dim == 2) {
1508 PetscCall(PetscDSSetResidual(ds, C_FIELD_ID, C_0, C_1));
1509 PetscCall(PetscDSSetResidual(ds, P_FIELD_ID, P_0, P_1));
1510 PetscCall(PetscDSSetJacobian(ds, C_FIELD_ID, C_FIELD_ID, JC_0_c0c0, NULL, NULL, ctx->D > 0 ? JC_1_c1c1 : NULL));
1511 if (!ctx->split) { /* we solve a block diagonal system to mimic operator splitting, jacobians will not be correct */
1512 PetscCall(PetscDSSetJacobian(ds, C_FIELD_ID, P_FIELD_ID, NULL, JC_0_c0p1, NULL, NULL));
1513 PetscCall(PetscDSSetJacobian(ds, P_FIELD_ID, C_FIELD_ID, NULL, NULL, JP_1_p1c0, NULL));
1514 }
1515 PetscCall(PetscDSSetJacobian(ds, P_FIELD_ID, P_FIELD_ID, NULL, NULL, NULL, JP_1_p1p1));
1516 } else {
1517 PetscCall(PetscDSSetResidual(ds, C_FIELD_ID, C_0_3d, C_1_3d));
1518 PetscCall(PetscDSSetResidual(ds, P_FIELD_ID, P_0, P_1_3d));
1519 PetscCall(PetscDSSetJacobian(ds, C_FIELD_ID, C_FIELD_ID, JC_0_c0c0_3d, NULL, NULL, ctx->D > 0 ? JC_1_c1c1_3d : NULL));
1520 if (!ctx->split) {
1521 PetscCall(PetscDSSetJacobian(ds, C_FIELD_ID, P_FIELD_ID, NULL, JC_0_c0p1_3d, NULL, NULL));
1522 PetscCall(PetscDSSetJacobian(ds, P_FIELD_ID, C_FIELD_ID, NULL, NULL, JP_1_p1c0_3d, NULL));
1523 }
1524 PetscCall(PetscDSSetJacobian(ds, P_FIELD_ID, P_FIELD_ID, NULL, NULL, NULL, JP_1_p1p1_3d));
1525 }
1526 /* Attach potential nullspace */
1527 PetscCall(DMSetNullSpaceConstructor(dm, P_FIELD_ID, CreatePotentialNullSpace));
1528
1529 /* Compute domain volume */
1530 PetscCall(DMGetGlobalVector(dm, &dummy));
1531 PetscCall(PetscDSSetObjective(ds, P_FIELD_ID, volume));
1532 PetscCall(DMPlexComputeIntegralFEM(dm, dummy, vals, NULL));
1533 PetscCall(PetscDSSetObjective(ds, P_FIELD_ID, zero));
1534 PetscCall(DMRestoreGlobalVector(dm, &dummy));
1535 ctx->domain_volume = PetscRealPart(vals[P_FIELD_ID]);
1536
1537 /* Index sets for potential and conductivities */
1538 PetscCall(DMCreateSubDM(dm, 1, fields, &is, NULL));
1539 PetscCall(PetscObjectCompose((PetscObject)dm, "IS conductivity", (PetscObject)is));
1540 PetscCall(PetscObjectSetName((PetscObject)is, "C"));
1541 PetscCall(ISViewFromOptions(is, NULL, "-is_conductivity_view"));
1542 PetscCall(ISDestroy(&is));
1543 PetscCall(DMCreateSubDM(dm, 1, fields + 1, &is, NULL));
1544 PetscCall(PetscObjectSetName((PetscObject)is, "P"));
1545 PetscCall(PetscObjectCompose((PetscObject)dm, "IS potential", (PetscObject)is));
1546 PetscCall(ISViewFromOptions(is, NULL, "-is_potential_view"));
1547 PetscCall(ISDestroy(&is));
1548
1549 /* Create auxiliary DM */
1550 PetscCall(ProjectAuxDM(dm, PETSC_MIN_REAL, NULL, ctx));
1551
1552 /* Add callbacks */
1553 PetscCall(DMTSSetIFunctionLocal(dm, DMPlexTSComputeIFunctionFEM_Private, ctx));
1554 PetscCall(DMTSSetIJacobianLocal(dm, DMPlexTSComputeIJacobianFEM_Private, ctx));
1555 /* DMPlexTSComputeBoundary is not needed because we use natural boundary conditions */
1556 PetscCall(DMTSSetBoundaryLocal(dm, NULL, NULL));
1557
1558 /* handle nullspace in residual (move it to TSComputeIFunction_DMLocal?) */
1559 {
1560 MatNullSpace nullsp;
1561
1562 PetscCall(CreatePotentialNullSpace(dm, P_FIELD_ID, P_FIELD_ID, &nullsp));
1563 PetscCall(PetscObjectCompose((PetscObject)dm, "__dmtsnullspace", (PetscObject)nullsp));
1564 PetscCall(MatNullSpaceDestroy(&nullsp));
1565 }
1566 PetscFunctionReturn(PETSC_SUCCESS);
1567 }
1568
1569 /* setup discrete spaces and residuals */
SetupDiscretization(DM dm,AppCtx * ctx)1570 static PetscErrorCode SetupDiscretization(DM dm, AppCtx *ctx)
1571 {
1572 DM cdm = dm;
1573 PetscFE feC, feP;
1574 PetscInt dim;
1575 MPI_Comm comm = PetscObjectComm((PetscObject)dm);
1576
1577 PetscFunctionBeginUser;
1578 PetscCall(DMGetDimension(dm, &dim));
1579
1580 /* We model Cij with Cij = Cji -> dim*(dim+1)/2 components */
1581 PetscCall(PetscFECreateDefault(comm, dim, (dim * (dim + 1)) / 2, ctx->simplex, "c_", -1, &feC));
1582 PetscCall(PetscObjectSetName((PetscObject)feC, "conductivity"));
1583 PetscCall(PetscFECreateDefault(comm, dim, 1, ctx->simplex, "p_", -1, &feP));
1584 PetscCall(PetscObjectSetName((PetscObject)feP, "potential"));
1585 PetscCall(PetscFECopyQuadrature(feP, feC));
1586 PetscCall(PetscFEViewFromOptions(feP, NULL, "-view_fe"));
1587 PetscCall(PetscFEViewFromOptions(feC, NULL, "-view_fe"));
1588
1589 PetscCall(DMSetNumFields(dm, 2));
1590 PetscCall(DMSetField(dm, C_FIELD_ID, NULL, (PetscObject)feC));
1591 PetscCall(DMSetField(dm, P_FIELD_ID, NULL, (PetscObject)feP));
1592 PetscCall(PetscFEDestroy(&feC));
1593 PetscCall(PetscFEDestroy(&feP));
1594 PetscCall(DMCreateDS(dm));
1595 while (cdm) {
1596 PetscCall(DMCopyDisc(dm, cdm));
1597 PetscCall(SetupProblem(cdm, ctx));
1598 PetscCall(DMGetCoarseDM(cdm, &cdm));
1599 }
1600 PetscFunctionReturn(PETSC_SUCCESS);
1601 }
1602
1603 /* Create mesh by command line options */
CreateMesh(MPI_Comm comm,DM * dm,AppCtx * ctx)1604 static PetscErrorCode CreateMesh(MPI_Comm comm, DM *dm, AppCtx *ctx)
1605 {
1606 DM plex;
1607
1608 PetscFunctionBeginUser;
1609 if (ctx->load) {
1610 PetscInt refine = 0;
1611 PetscBool isHierarchy;
1612 DM *dms;
1613 char typeName[256];
1614 PetscBool flg;
1615
1616 PetscCall(LoadFromFile(comm, ctx->load_filename, dm));
1617 PetscOptionsBegin(comm, "", "Additional mesh options", "DMPLEX");
1618 PetscCall(PetscOptionsFList("-dm_mat_type", "Matrix type used for created matrices", "DMSetMatType", MatList, MATAIJ, typeName, sizeof(typeName), &flg));
1619 if (flg) PetscCall(DMSetMatType(*dm, typeName));
1620 PetscCall(PetscOptionsBoundedInt("-dm_refine", "The number of uniform refinements", "DMCreate", refine, &refine, NULL, 0));
1621 PetscCall(PetscOptionsBoundedInt("-dm_refine_hierarchy", "The number of uniform refinements", "DMCreate", refine, &refine, &isHierarchy, 0));
1622 PetscOptionsEnd();
1623 if (refine) {
1624 PetscCall(SetupDiscretization(*dm, ctx));
1625 PetscCall(DMPlexSetRefinementUniform(*dm, PETSC_TRUE));
1626 }
1627 PetscCall(PetscCalloc1(refine, &dms));
1628 if (isHierarchy) PetscCall(DMRefineHierarchy(*dm, refine, dms));
1629 for (PetscInt r = 0; r < refine; r++) {
1630 Mat M;
1631 DM dmr = dms[r];
1632 Vec u, ur;
1633
1634 if (!isHierarchy) {
1635 PetscCall(DMRefine(*dm, PetscObjectComm((PetscObject)*dm), &dmr));
1636 PetscCall(DMSetCoarseDM(dmr, *dm));
1637 }
1638 PetscCall(DMCreateInterpolation(*dm, dmr, &M, NULL));
1639 PetscCall(DMGetNamedGlobalVector(*dm, "solution_", &u));
1640 PetscCall(DMGetNamedGlobalVector(dmr, "solution_", &ur));
1641 PetscCall(MatInterpolate(M, u, ur));
1642 PetscCall(DMRestoreNamedGlobalVector(*dm, "solution_", &u));
1643 PetscCall(DMRestoreNamedGlobalVector(dmr, "solution_", &ur));
1644 PetscCall(MatDestroy(&M));
1645 if (!isHierarchy) PetscCall(DMSetCoarseDM(dmr, NULL));
1646 PetscCall(DMDestroy(dm));
1647 *dm = dmr;
1648 }
1649 if (refine && !isHierarchy) PetscCall(DMSetRefineLevel(*dm, 0));
1650 PetscCall(PetscFree(dms));
1651 } else {
1652 PetscCall(DMCreate(comm, dm));
1653 PetscCall(DMSetType(*dm, DMPLEX));
1654 PetscCall(DMSetFromOptions(*dm));
1655 PetscCall(DMLocalizeCoordinates(*dm));
1656 {
1657 char convType[256];
1658 PetscBool flg;
1659 PetscOptionsBegin(comm, "", "Additional mesh options", "DMPLEX");
1660 PetscCall(PetscOptionsFList("-dm_plex_convert_type", "Convert DMPlex to another format", __FILE__, DMList, DMPLEX, convType, 256, &flg));
1661 PetscOptionsEnd();
1662 if (flg) {
1663 DM dmConv;
1664 PetscCall(DMConvert(*dm, convType, &dmConv));
1665 if (dmConv) {
1666 PetscCall(DMDestroy(dm));
1667 *dm = dmConv;
1668 PetscCall(DMSetFromOptions(*dm));
1669 PetscCall(DMSetUp(*dm));
1670 }
1671 }
1672 }
1673 }
1674 PetscCall(PetscObjectSetOptionsPrefix((PetscObject)*dm, "ref_"));
1675 PetscCall(DMPlexDistributeSetDefault(*dm, PETSC_FALSE));
1676 PetscCall(DMSetFromOptions(*dm));
1677 PetscCall(PetscObjectSetOptionsPrefix((PetscObject)*dm, NULL));
1678
1679 PetscCall(DMConvert(*dm, DMPLEX, &plex));
1680 PetscCall(DMPlexIsSimplex(plex, &ctx->simplex));
1681 PetscCallMPI(MPIU_Allreduce(MPI_IN_PLACE, &ctx->simplex, 1, MPI_C_BOOL, MPI_LOR, comm));
1682 PetscCall(DMDestroy(&plex));
1683
1684 PetscCall(DMViewFromOptions(*dm, NULL, "-dm_view"));
1685 PetscFunctionReturn(PETSC_SUCCESS);
1686 }
1687
1688 /* Make potential field zero mean */
ZeroMeanPotential(DM dm,Vec u,PetscScalar domain_volume)1689 static PetscErrorCode ZeroMeanPotential(DM dm, Vec u, PetscScalar domain_volume)
1690 {
1691 PetscScalar vals[NUM_FIELDS];
1692 PetscDS ds;
1693 IS is;
1694
1695 PetscFunctionBeginUser;
1696 PetscCall(PetscObjectQuery((PetscObject)dm, "IS potential", (PetscObject *)&is));
1697 PetscCheck(is, PetscObjectComm((PetscObject)dm), PETSC_ERR_PLIB, "Missing potential IS");
1698 PetscCall(DMGetDS(dm, &ds));
1699 PetscCall(PetscDSSetObjective(ds, P_FIELD_ID, average));
1700 PetscCall(DMPlexComputeIntegralFEM(dm, u, vals, NULL));
1701 PetscCall(PetscDSSetObjective(ds, P_FIELD_ID, zero));
1702 PetscCall(VecISShift(u, is, -vals[P_FIELD_ID] / domain_volume));
1703 PetscCall(DMPlexComputeIntegralFEM(dm, u, vals, NULL));
1704 PetscFunctionReturn(PETSC_SUCCESS);
1705 }
1706
1707 /* Compute initial conditions and exclude potential from local truncation error
1708 Since we are solving a DAE, once the initial conditions for the differential
1709 variables are set, we need to compute the corresponding value for the
1710 algebraic variables. We do so by creating a subDM for the potential only
1711 and solve a static problem with SNES */
SetInitialConditionsAndTolerances(TS ts,PetscInt nv,Vec vecs[],PetscBool valid)1712 static PetscErrorCode SetInitialConditionsAndTolerances(TS ts, PetscInt nv, Vec vecs[], PetscBool valid)
1713 {
1714 DM dm;
1715 Vec u, p, subaux, vatol, vrtol;
1716 PetscReal t, atol, rtol;
1717 PetscInt fields[NUM_FIELDS] = {C_FIELD_ID, P_FIELD_ID};
1718 IS isp;
1719 DM dmp;
1720 VecScatter sctp = NULL;
1721 PetscDS ds;
1722 SNES snes;
1723 KSP ksp;
1724 PC pc;
1725 AppCtx *ctx;
1726
1727 PetscFunctionBeginUser;
1728 PetscCall(TSGetDM(ts, &dm));
1729 PetscCall(TSGetApplicationContext(ts, &ctx));
1730 PetscCall(PetscObjectQuery((PetscObject)dm, "IS potential", (PetscObject *)&isp));
1731 PetscCheck(isp, PetscObjectComm((PetscObject)dm), PETSC_ERR_PLIB, "Missing potential IS");
1732 if (valid) {
1733 if (ctx->exclude_potential_lte) {
1734 PetscCall(DMCreateGlobalVector(dm, &vatol));
1735 PetscCall(DMCreateGlobalVector(dm, &vrtol));
1736 PetscCall(TSGetTolerances(ts, &atol, NULL, &rtol, NULL));
1737 PetscCall(VecSet(vatol, atol));
1738 PetscCall(VecISSet(vatol, isp, -1));
1739 PetscCall(VecSet(vrtol, rtol));
1740 PetscCall(VecISSet(vrtol, isp, -1));
1741 PetscCall(TSSetTolerances(ts, atol, vatol, rtol, vrtol));
1742 PetscCall(VecDestroy(&vatol));
1743 PetscCall(VecDestroy(&vrtol));
1744 }
1745 for (PetscInt i = 0; i < nv; i++) PetscCall(ZeroMeanPotential(dm, vecs[i], ctx->domain_volume));
1746 PetscFunctionReturn(PETSC_SUCCESS);
1747 }
1748 PetscCall(DMCreateSubDM(dm, 1, fields + 1, NULL, &dmp));
1749 PetscCall(DMSetMatType(dmp, MATAIJ));
1750 PetscCall(DMGetDS(dmp, &ds));
1751 if (ctx->dim == 2) {
1752 PetscCall(PetscDSSetResidual(ds, 0, P_0_aux, P_1_aux));
1753 PetscCall(PetscDSSetJacobian(ds, 0, 0, NULL, NULL, NULL, JP_1_p1p1_aux));
1754 } else {
1755 PetscCall(PetscDSSetResidual(ds, 0, P_0_aux, P_1_aux_3d));
1756 PetscCall(PetscDSSetJacobian(ds, 0, 0, NULL, NULL, NULL, JP_1_p1p1_aux_3d));
1757 }
1758 PetscCall(DMPlexSetSNESLocalFEM(dmp, PETSC_FALSE, NULL));
1759
1760 PetscCall(DMCreateGlobalVector(dmp, &p));
1761
1762 PetscCall(SNESCreate(PetscObjectComm((PetscObject)dmp), &snes));
1763 PetscCall(SNESSetDM(snes, dmp));
1764 PetscCall(SNESSetOptionsPrefix(snes, "initial_"));
1765 PetscCall(SNESSetErrorIfNotConverged(snes, PETSC_TRUE));
1766 PetscCall(SNESGetKSP(snes, &ksp));
1767 PetscCall(KSPSetType(ksp, KSPFGMRES));
1768 PetscCall(KSPGetPC(ksp, &pc));
1769 PetscCall(PCSetType(pc, PCGAMG));
1770 PetscCall(SNESSetFromOptions(snes));
1771 PetscCall(SNESSetUp(snes));
1772
1773 /* Loop over input vectors and compute corresponding potential */
1774 for (PetscInt i = 0; i < nv; i++) {
1775 u = vecs[i];
1776 if (!valid) { /* Assumes entries in u are not valid */
1777 PetscErrorCode (*funcs[NUM_FIELDS])(PetscInt, PetscReal, const PetscReal[], PetscInt, PetscScalar *, void *);
1778 void *ctxs[NUM_FIELDS] = {NULL};
1779 PetscRandom r = NULL;
1780
1781 PetscCall(TSGetTime(ts, &t));
1782 switch (ctx->ic_num) {
1783 case 0:
1784 funcs[C_FIELD_ID] = initial_conditions_C_0;
1785 break;
1786 case 1:
1787 funcs[C_FIELD_ID] = initial_conditions_C_1;
1788 break;
1789 case 2:
1790 funcs[C_FIELD_ID] = initial_conditions_C_2;
1791 break;
1792 case 3:
1793 funcs[C_FIELD_ID] = initial_conditions_C_random;
1794 PetscCall(PetscRandomCreate(PetscObjectComm((PetscObject)ts), &r));
1795 PetscCall(PetscRandomSetOptionsPrefix(r, "ic_"));
1796 PetscCall(PetscRandomSetFromOptions(r));
1797 ctxs[C_FIELD_ID] = r;
1798 break;
1799 default:
1800 SETERRQ(PetscObjectComm((PetscObject)ts), PETSC_ERR_SUP, "Unknown IC");
1801 }
1802 funcs[P_FIELD_ID] = zerof;
1803 PetscCall(DMProjectFunction(dm, t, funcs, ctxs, INSERT_ALL_VALUES, u));
1804 PetscCall(ProjectAuxDM(dm, t, u, ctx));
1805 PetscCall(PetscRandomDestroy(&r));
1806 }
1807
1808 /* pass conductivity information via auxiliary data */
1809 PetscCall(DMGetAuxiliaryVec(dm, NULL, 0, 0, &subaux));
1810 PetscCall(DMSetAuxiliaryVec(dmp, NULL, 0, 0, subaux));
1811
1812 /* solve the subproblem */
1813 if (!sctp) PetscCall(VecScatterCreate(u, isp, p, NULL, &sctp));
1814 PetscCall(VecScatterBegin(sctp, u, p, INSERT_VALUES, SCATTER_FORWARD));
1815 PetscCall(VecScatterEnd(sctp, u, p, INSERT_VALUES, SCATTER_FORWARD));
1816 PetscCall(SNESSolve(snes, NULL, p));
1817
1818 /* scatter from potential only to full space */
1819 PetscCall(VecScatterBegin(sctp, p, u, INSERT_VALUES, SCATTER_REVERSE));
1820 PetscCall(VecScatterEnd(sctp, p, u, INSERT_VALUES, SCATTER_REVERSE));
1821 PetscCall(ZeroMeanPotential(dm, u, ctx->domain_volume));
1822 }
1823 PetscCall(VecDestroy(&p));
1824 PetscCall(DMDestroy(&dmp));
1825 PetscCall(SNESDestroy(&snes));
1826 PetscCall(VecScatterDestroy(&sctp));
1827
1828 /* exclude potential from computation of the LTE */
1829 if (ctx->exclude_potential_lte) {
1830 PetscCall(DMCreateGlobalVector(dm, &vatol));
1831 PetscCall(DMCreateGlobalVector(dm, &vrtol));
1832 PetscCall(TSGetTolerances(ts, &atol, NULL, &rtol, NULL));
1833 PetscCall(VecSet(vatol, atol));
1834 PetscCall(VecISSet(vatol, isp, -1));
1835 PetscCall(VecSet(vrtol, rtol));
1836 PetscCall(VecISSet(vrtol, isp, -1));
1837 PetscCall(TSSetTolerances(ts, atol, vatol, rtol, vrtol));
1838 PetscCall(VecDestroy(&vatol));
1839 PetscCall(VecDestroy(&vrtol));
1840 }
1841 PetscFunctionReturn(PETSC_SUCCESS);
1842 }
1843
1844 /* mesh adaption context */
1845 typedef struct {
1846 VecTagger refineTag;
1847 DMLabel adaptLabel;
1848 PetscInt cnt;
1849 } AdaptCtx;
1850
ResizeSetUp(TS ts,PetscInt nstep,PetscReal time,Vec u,PetscBool * resize,void * vctx)1851 static PetscErrorCode ResizeSetUp(TS ts, PetscInt nstep, PetscReal time, Vec u, PetscBool *resize, void *vctx)
1852 {
1853 AdaptCtx *ctx = (AdaptCtx *)vctx;
1854 Vec ellVecCells, ellVecCellsF;
1855 DM dm, plex;
1856 PetscDS ds;
1857 PetscReal norm;
1858 PetscInt cStart, cEnd;
1859
1860 PetscFunctionBeginUser;
1861 PetscCall(TSGetDM(ts, &dm));
1862 PetscCall(DMConvert(dm, DMPLEX, &plex));
1863 PetscCall(DMPlexGetHeightStratum(plex, 0, &cStart, &cEnd));
1864 PetscCall(DMDestroy(&plex));
1865 PetscCall(VecCreateMPI(PetscObjectComm((PetscObject)ts), NUM_FIELDS * (cEnd - cStart), PETSC_DECIDE, &ellVecCellsF));
1866 PetscCall(VecCreateMPI(PetscObjectComm((PetscObject)ts), cEnd - cStart, PETSC_DECIDE, &ellVecCells));
1867 PetscCall(VecSetBlockSize(ellVecCellsF, NUM_FIELDS));
1868 PetscCall(DMGetDS(dm, &ds));
1869 PetscCall(PetscDSSetObjective(ds, C_FIELD_ID, ellipticity_fail));
1870 PetscCall(DMPlexComputeCellwiseIntegralFEM(dm, u, ellVecCellsF, NULL));
1871 PetscCall(PetscDSSetObjective(ds, C_FIELD_ID, energy));
1872 PetscCall(VecStrideGather(ellVecCellsF, C_FIELD_ID, ellVecCells, INSERT_VALUES));
1873 PetscCall(VecDestroy(&ellVecCellsF));
1874 PetscCall(VecNorm(ellVecCells, NORM_1, &norm));
1875 PetscCall(PetscPrintf(PetscObjectComm((PetscObject)ts), "STEP %d norm %g\n", (int)nstep, (double)norm));
1876 if (norm && !ctx->cnt) {
1877 IS refineIS;
1878
1879 *resize = PETSC_TRUE;
1880 if (!ctx->refineTag) {
1881 VecTaggerBox refineBox;
1882 refineBox.min = PETSC_MACHINE_EPSILON;
1883 refineBox.max = PETSC_MAX_REAL;
1884
1885 PetscCall(VecTaggerCreate(PETSC_COMM_SELF, &ctx->refineTag));
1886 PetscCall(PetscObjectSetOptionsPrefix((PetscObject)ctx->refineTag, "refine_"));
1887 PetscCall(VecTaggerSetType(ctx->refineTag, VECTAGGERABSOLUTE));
1888 PetscCall(VecTaggerAbsoluteSetBox(ctx->refineTag, &refineBox));
1889 PetscCall(VecTaggerSetFromOptions(ctx->refineTag));
1890 PetscCall(VecTaggerSetUp(ctx->refineTag));
1891 PetscCall(PetscObjectViewFromOptions((PetscObject)ctx->refineTag, NULL, "-tag_view"));
1892 }
1893 PetscCall(DMLabelDestroy(&ctx->adaptLabel));
1894 PetscCall(DMLabelCreate(PetscObjectComm((PetscObject)ts), "adapt", &ctx->adaptLabel));
1895 PetscCall(VecTaggerComputeIS(ctx->refineTag, ellVecCells, &refineIS, NULL));
1896 PetscCall(DMLabelSetStratumIS(ctx->adaptLabel, DM_ADAPT_REFINE, refineIS));
1897 PetscCall(ISDestroy(&refineIS));
1898 #if 0
1899 void (*funcs[NUM_FIELDS])(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar f[]);
1900 Vec ellVec;
1901
1902 funcs[P_FIELD_ID] = ellipticity_fail;
1903 funcs[C_FIELD_ID] = NULL;
1904
1905 PetscCall(DMGetGlobalVector(dm, &ellVec));
1906 PetscCall(DMProjectField(dm, 0, u, funcs, INSERT_VALUES, ellVec));
1907 PetscCall(VecViewFromOptions(ellVec,NULL,"-view_amr_ell"));
1908 PetscCall(DMRestoreGlobalVector(dm, &ellVec));
1909 #endif
1910 ctx->cnt++;
1911 } else {
1912 ctx->cnt = 0;
1913 }
1914 PetscCall(VecDestroy(&ellVecCells));
1915 PetscFunctionReturn(PETSC_SUCCESS);
1916 }
1917
ResizeTransfer(TS ts,PetscInt nv,Vec vecsin[],Vec vecsout[],void * vctx)1918 static PetscErrorCode ResizeTransfer(TS ts, PetscInt nv, Vec vecsin[], Vec vecsout[], void *vctx)
1919 {
1920 AdaptCtx *actx = (AdaptCtx *)vctx;
1921 AppCtx *ctx;
1922 DM dm, adm;
1923 PetscReal time;
1924 PetscInt fields[NUM_FIELDS] = {C_FIELD_ID, P_FIELD_ID};
1925 IS is;
1926
1927 PetscFunctionBeginUser;
1928 PetscCall(TSGetDM(ts, &dm));
1929 PetscCheck(actx->adaptLabel, PetscObjectComm((PetscObject)ts), PETSC_ERR_ARG_WRONGSTATE, "Missing adaptLabel");
1930 PetscCall(DMAdaptLabel(dm, actx->adaptLabel, &adm));
1931 PetscCheck(adm, PetscObjectComm((PetscObject)ts), PETSC_ERR_ARG_WRONGSTATE, "Missing adapted DM");
1932 PetscCall(TSGetTime(ts, &time));
1933 PetscCall(DMLabelDestroy(&actx->adaptLabel));
1934 for (PetscInt i = 0; i < nv; i++) {
1935 PetscCall(DMCreateGlobalVector(adm, &vecsout[i]));
1936 PetscCall(DMForestTransferVec(dm, vecsin[i], adm, vecsout[i], PETSC_TRUE, time));
1937 }
1938 PetscCall(DMForestSetAdaptivityForest(adm, NULL));
1939 PetscCall(DMSetCoarseDM(adm, NULL));
1940 PetscCall(DMSetLocalSection(adm, NULL));
1941 PetscCall(TSSetDM(ts, adm));
1942 PetscCall(TSGetTime(ts, &time));
1943 PetscCall(TSGetApplicationContext(ts, &ctx));
1944 PetscCall(DMSetNullSpaceConstructor(adm, P_FIELD_ID, CreatePotentialNullSpace));
1945 PetscCall(DMCreateSubDM(adm, 1, fields, &is, NULL));
1946 PetscCall(PetscObjectCompose((PetscObject)adm, "IS conductivity", (PetscObject)is));
1947 PetscCall(ISDestroy(&is));
1948 PetscCall(DMCreateSubDM(adm, 1, fields + 1, &is, NULL));
1949 PetscCall(PetscObjectCompose((PetscObject)adm, "IS potential", (PetscObject)is));
1950 PetscCall(ISDestroy(&is));
1951 PetscCall(ProjectAuxDM(adm, time, NULL, ctx));
1952 {
1953 MatNullSpace nullsp;
1954
1955 PetscCall(CreatePotentialNullSpace(adm, P_FIELD_ID, P_FIELD_ID, &nullsp));
1956 PetscCall(PetscObjectCompose((PetscObject)adm, "__dmtsnullspace", (PetscObject)nullsp));
1957 PetscCall(MatNullSpaceDestroy(&nullsp));
1958 }
1959 PetscCall(SetInitialConditionsAndTolerances(ts, nv, vecsout, PETSC_TRUE));
1960 PetscCall(DMDestroy(&ctx->view_dm));
1961 for (PetscInt i = 0; i < NUM_FIELDS; i++) {
1962 PetscCall(VecScatterDestroy(&ctx->subsct[i]));
1963 PetscCall(VecDestroy(&ctx->subvec[i]));
1964 }
1965 PetscFunctionReturn(PETSC_SUCCESS);
1966 }
1967
ComputeDiagnostic(Vec u,AppCtx * ctx,Vec * out)1968 static PetscErrorCode ComputeDiagnostic(Vec u, AppCtx *ctx, Vec *out)
1969 {
1970 DM dm;
1971 PetscInt dim;
1972 PetscFE feFluxC, feNormC, feEigsC;
1973
1974 void (*funcs[])(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar f[]) = {normc, eigsc, flux};
1975
1976 PetscFunctionBeginUser;
1977 if (!ctx->view_dm) {
1978 PetscFE feP;
1979 PetscInt nf = PetscMax(PetscMin(ctx->diagnostic_num, 3), 1);
1980
1981 PetscCall(VecGetDM(u, &dm));
1982 PetscCall(DMGetDimension(dm, &dim));
1983 PetscCall(PetscFECreateDefault(PetscObjectComm((PetscObject)dm), dim, 1, ctx->simplex, "normc_", -1, &feNormC));
1984 PetscCall(PetscFECreateDefault(PetscObjectComm((PetscObject)dm), dim, dim, ctx->simplex, "eigsc_", -1, &feEigsC));
1985 PetscCall(PetscFECreateDefault(PetscObjectComm((PetscObject)dm), dim, dim, ctx->simplex, "flux_", -1, &feFluxC));
1986 PetscCall(DMGetField(dm, P_FIELD_ID, NULL, (PetscObject *)&feP));
1987 PetscCall(PetscFECopyQuadrature(feP, feNormC));
1988 PetscCall(PetscFECopyQuadrature(feP, feEigsC));
1989 PetscCall(PetscFECopyQuadrature(feP, feFluxC));
1990 PetscCall(PetscObjectSetName((PetscObject)feNormC, "normC"));
1991 PetscCall(PetscObjectSetName((PetscObject)feEigsC, "eigsC"));
1992 PetscCall(PetscObjectSetName((PetscObject)feFluxC, "flux"));
1993
1994 PetscCall(DMClone(dm, &ctx->view_dm));
1995 PetscCall(DMSetNumFields(ctx->view_dm, nf));
1996 PetscCall(DMSetField(ctx->view_dm, 0, NULL, (PetscObject)feNormC));
1997 if (nf > 1) PetscCall(DMSetField(ctx->view_dm, 1, NULL, (PetscObject)feEigsC));
1998 if (nf > 2) PetscCall(DMSetField(ctx->view_dm, 2, NULL, (PetscObject)feFluxC));
1999 PetscCall(DMCreateDS(ctx->view_dm));
2000 PetscCall(PetscFEDestroy(&feFluxC));
2001 PetscCall(PetscFEDestroy(&feNormC));
2002 PetscCall(PetscFEDestroy(&feEigsC));
2003 }
2004 PetscCall(DMCreateGlobalVector(ctx->view_dm, out));
2005 PetscCall(DMProjectField(ctx->view_dm, 0.0, u, funcs, INSERT_VALUES, *out));
2006 PetscFunctionReturn(PETSC_SUCCESS);
2007 }
2008
MakeScatterAndVec(Vec X,IS is,Vec * Y,VecScatter * sct)2009 static PetscErrorCode MakeScatterAndVec(Vec X, IS is, Vec *Y, VecScatter *sct)
2010 {
2011 PetscInt n;
2012
2013 PetscFunctionBeginUser;
2014 PetscCall(ISGetLocalSize(is, &n));
2015 PetscCall(VecCreateMPI(PetscObjectComm((PetscObject)X), n, PETSC_DECIDE, Y));
2016 PetscCall(VecScatterCreate(X, is, *Y, NULL, sct));
2017 PetscFunctionReturn(PETSC_SUCCESS);
2018 }
2019
FunctionDomainError(TS ts,PetscReal time,Vec X,PetscBool * accept)2020 static PetscErrorCode FunctionDomainError(TS ts, PetscReal time, Vec X, PetscBool *accept)
2021 {
2022 AppCtx *ctx;
2023 PetscScalar vals[NUM_FIELDS];
2024 DM dm;
2025 PetscDS ds;
2026
2027 PetscFunctionBeginUser;
2028 *accept = PETSC_TRUE;
2029 PetscCall(TSGetApplicationContext(ts, &ctx));
2030 if (ctx->function_domain_error_tol < 0) PetscFunctionReturn(PETSC_SUCCESS);
2031 PetscCall(TSGetDM(ts, &dm));
2032 PetscCall(DMGetDS(dm, &ds));
2033 PetscCall(PetscDSSetObjective(ds, C_FIELD_ID, ellipticity_fail));
2034 PetscCall(DMPlexComputeIntegralFEM(dm, X, vals, NULL));
2035 PetscCall(PetscDSSetObjective(ds, C_FIELD_ID, energy));
2036 if (PetscAbsScalar(vals[C_FIELD_ID]) > ctx->function_domain_error_tol) *accept = PETSC_FALSE;
2037 if (!*accept) PetscCall(PetscPrintf(PetscObjectComm((PetscObject)ts), "Domain error value %g > %g\n", (double)PetscAbsScalar(vals[C_FIELD_ID]), (double)ctx->function_domain_error_tol));
2038 PetscFunctionReturn(PETSC_SUCCESS);
2039 }
2040
2041 /* Monitor relevant functionals */
Monitor(TS ts,PetscInt stepnum,PetscReal time,Vec u,void * vctx)2042 static PetscErrorCode Monitor(TS ts, PetscInt stepnum, PetscReal time, Vec u, void *vctx)
2043 {
2044 PetscScalar vals[2 * NUM_FIELDS];
2045 DM dm;
2046 PetscDS ds;
2047 AppCtx *ctx;
2048 PetscBool need_hdf5, need_vtk;
2049
2050 PetscFunctionBeginUser;
2051 PetscCall(TSGetDM(ts, &dm));
2052 PetscCall(TSGetApplicationContext(ts, &ctx));
2053 PetscCall(DMGetDS(dm, &ds));
2054
2055 /* monitor energy and potential average */
2056 PetscCall(PetscDSSetObjective(ds, P_FIELD_ID, average));
2057 PetscCall(DMPlexComputeIntegralFEM(dm, u, vals, NULL));
2058 PetscCall(PetscDSSetObjective(ds, P_FIELD_ID, zero));
2059
2060 /* monitor ellipticity_fail */
2061 PetscCall(PetscDSSetObjective(ds, C_FIELD_ID, ellipticity_fail));
2062 PetscCall(DMPlexComputeIntegralFEM(dm, u, vals + NUM_FIELDS, NULL));
2063 PetscCall(PetscDSSetObjective(ds, C_FIELD_ID, energy));
2064 vals[C_FIELD_ID] /= ctx->domain_volume;
2065
2066 PetscCall(PetscPrintf(PetscObjectComm((PetscObject)ts), "%4" PetscInt_FMT " TS: time %g, energy %g, intp %g, ell %g\n", stepnum, (double)time, (double)PetscRealPart(vals[C_FIELD_ID]), (double)PetscRealPart(vals[P_FIELD_ID]), (double)PetscRealPart(vals[NUM_FIELDS + C_FIELD_ID])));
2067
2068 /* monitor diagnostic */
2069 need_hdf5 = (PetscBool)(ctx->view_hdf5_ctx && ((ctx->view_hdf5_ctx->view_interval > 0 && !(stepnum % ctx->view_hdf5_ctx->view_interval)) || (ctx->view_hdf5_ctx->view_interval && ts->reason)));
2070 need_vtk = (PetscBool)(ctx->view_vtk_ctx && ((ctx->view_vtk_ctx->interval > 0 && !(stepnum % ctx->view_vtk_ctx->interval)) || (ctx->view_vtk_ctx->interval && ts->reason)));
2071 if (ctx->view_times_k < ctx->view_times_n && time >= ctx->view_times[ctx->view_times_k] && time < ctx->view_times[ctx->view_times_k + 1]) {
2072 if (ctx->view_hdf5_ctx) need_hdf5 = PETSC_TRUE;
2073 if (ctx->view_vtk_ctx) need_vtk = PETSC_TRUE;
2074 ctx->view_times_k++;
2075 }
2076 if (need_vtk || need_hdf5) {
2077 Vec diagnostic;
2078 PetscBool dump_dm = (PetscBool)(!!ctx->view_dm);
2079
2080 PetscCall(ComputeDiagnostic(u, ctx, &diagnostic));
2081 if (need_vtk) {
2082 PetscCall(PetscObjectSetName((PetscObject)diagnostic, ""));
2083 PetscCall(TSMonitorSolutionVTK(ts, stepnum, time, diagnostic, ctx->view_vtk_ctx));
2084 }
2085 if (need_hdf5) {
2086 DM vdm;
2087 PetscInt seqnum;
2088
2089 PetscCall(VecGetDM(diagnostic, &vdm));
2090 if (!dump_dm) {
2091 PetscCall(PetscViewerPushFormat(ctx->view_hdf5_ctx->viewer, ctx->view_hdf5_ctx->format));
2092 PetscCall(DMView(vdm, ctx->view_hdf5_ctx->viewer));
2093 PetscCall(PetscViewerPopFormat(ctx->view_hdf5_ctx->viewer));
2094 }
2095 PetscCall(DMGetOutputSequenceNumber(vdm, &seqnum, NULL));
2096 PetscCall(DMSetOutputSequenceNumber(vdm, seqnum + 1, time));
2097 PetscCall(PetscObjectSetName((PetscObject)diagnostic, "diagnostic"));
2098 PetscCall(PetscViewerPushFormat(ctx->view_hdf5_ctx->viewer, ctx->view_hdf5_ctx->format));
2099 PetscCall(VecView(diagnostic, ctx->view_hdf5_ctx->viewer));
2100 if (ctx->diagnostic_num > 3 || ctx->diagnostic_num < 0) {
2101 PetscCall(DMSetOutputSequenceNumber(dm, seqnum + 1, time));
2102 PetscCall(VecView(u, ctx->view_hdf5_ctx->viewer));
2103 }
2104 PetscCall(PetscViewerPopFormat(ctx->view_hdf5_ctx->viewer));
2105 }
2106 PetscCall(VecDestroy(&diagnostic));
2107 }
2108 PetscFunctionReturn(PETSC_SUCCESS);
2109 }
2110
2111 /* Save restart information */
MonitorSave(TS ts,PetscInt steps,PetscReal time,Vec u,void * vctx)2112 static PetscErrorCode MonitorSave(TS ts, PetscInt steps, PetscReal time, Vec u, void *vctx)
2113 {
2114 DM dm;
2115 AppCtx *ctx = (AppCtx *)vctx;
2116 PetscInt save_every = ctx->save_every;
2117 TSConvergedReason reason;
2118
2119 PetscFunctionBeginUser;
2120 if (!ctx->save) PetscFunctionReturn(PETSC_SUCCESS);
2121 PetscCall(TSGetDM(ts, &dm));
2122 PetscCall(TSGetConvergedReason(ts, &reason));
2123 if ((save_every > 0 && steps % save_every == 0) || (save_every == -1 && reason) || save_every < -1) PetscCall(SaveToFile(dm, u, ctx->save_filename));
2124 PetscFunctionReturn(PETSC_SUCCESS);
2125 }
2126
2127 /* Resample source if time dependent */
PreStage(TS ts,PetscReal stagetime)2128 static PetscErrorCode PreStage(TS ts, PetscReal stagetime)
2129 {
2130 AppCtx *ctx;
2131 PetscBool resample, ismatis;
2132 Mat A, P;
2133
2134 PetscFunctionBeginUser;
2135 PetscCall(TSGetApplicationContext(ts, &ctx));
2136 /* in case we need to call SNESSetFunctionDomainError */
2137 PetscCall(TSGetSNES(ts, &ctx->snes));
2138
2139 resample = ctx->split ? PETSC_TRUE : PETSC_FALSE;
2140 for (PetscInt i = 0; i < ctx->source_ctx->n; i++) {
2141 if (ctx->source_ctx->k[i] != 0.0) {
2142 resample = PETSC_TRUE;
2143 break;
2144 }
2145 }
2146 if (resample) {
2147 DM dm;
2148 Vec u = NULL;
2149
2150 PetscCall(TSGetDM(ts, &dm));
2151 /* In case of a multistage method, we always use the frozen values at the previous time-step */
2152 if (ctx->split) PetscCall(TSGetSolution(ts, &u));
2153 PetscCall(ProjectAuxDM(dm, stagetime, u, ctx));
2154 }
2155
2156 /* element matrices are sparse, ignore zero entries */
2157 PetscCall(TSGetIJacobian(ts, &A, &P, NULL, NULL));
2158 PetscCall(PetscObjectTypeCompare((PetscObject)A, MATIS, &ismatis));
2159 if (!ismatis) PetscCall(MatSetOption(A, MAT_IGNORE_ZERO_ENTRIES, PETSC_TRUE));
2160 PetscCall(PetscObjectTypeCompare((PetscObject)P, MATIS, &ismatis));
2161 if (!ismatis) PetscCall(MatSetOption(P, MAT_IGNORE_ZERO_ENTRIES, PETSC_TRUE));
2162
2163 /* Set symmetric flag */
2164 PetscCall(MatSetOption(A, MAT_SYMMETRIC, PETSC_TRUE));
2165 PetscCall(MatSetOption(P, MAT_SYMMETRIC, PETSC_TRUE));
2166 PetscCall(MatSetOption(A, MAT_SYMMETRY_ETERNAL, PETSC_TRUE));
2167 PetscCall(MatSetOption(P, MAT_SYMMETRY_ETERNAL, PETSC_TRUE));
2168 PetscFunctionReturn(PETSC_SUCCESS);
2169 }
2170
2171 /* Make potential zero mean after SNES solve */
PostStage(TS ts,PetscReal stagetime,PetscInt stageindex,Vec * Y)2172 static PetscErrorCode PostStage(TS ts, PetscReal stagetime, PetscInt stageindex, Vec *Y)
2173 {
2174 DM dm;
2175 Vec u = Y[stageindex];
2176 SNES snes;
2177 PetscInt nits, lits, stepnum;
2178 AppCtx *ctx;
2179
2180 PetscFunctionBeginUser;
2181 PetscCall(TSGetDM(ts, &dm));
2182 PetscCall(TSGetApplicationContext(ts, &ctx));
2183
2184 PetscCall(ZeroMeanPotential(dm, u, ctx->domain_volume));
2185
2186 if (ctx->test_restart) PetscFunctionReturn(PETSC_SUCCESS);
2187
2188 /* monitor linear and nonlinear iterations */
2189 PetscCall(TSGetStepNumber(ts, &stepnum));
2190 PetscCall(TSGetSNES(ts, &snes));
2191 PetscCall(SNESGetIterationNumber(snes, &nits));
2192 PetscCall(SNESGetLinearSolveIterations(snes, &lits));
2193
2194 /* if function evals in TSDIRK are zero in the first stage, it is FSAL */
2195 if (stageindex == 0) {
2196 PetscBool dirk;
2197 PetscInt nf;
2198
2199 PetscCall(PetscObjectTypeCompare((PetscObject)ts, TSDIRK, &dirk));
2200 PetscCall(SNESGetNumberFunctionEvals(snes, &nf));
2201 if (dirk && nf == 0) nits = 0;
2202 }
2203 PetscCall(PetscPrintf(PetscObjectComm((PetscObject)ts), " step %" PetscInt_FMT " stage %" PetscInt_FMT " nonlinear its %" PetscInt_FMT ", linear its %" PetscInt_FMT "\n", stepnum, stageindex, nits, lits));
2204 PetscFunctionReturn(PETSC_SUCCESS);
2205 }
2206
MonitorNorms(SNES snes,PetscInt its,PetscReal f,void * vctx)2207 PetscErrorCode MonitorNorms(SNES snes, PetscInt its, PetscReal f, void *vctx)
2208 {
2209 AppCtx *ctx = (AppCtx *)vctx;
2210 Vec F;
2211 DM dm;
2212 PetscReal subnorm[NUM_FIELDS];
2213
2214 PetscFunctionBeginUser;
2215 PetscCall(SNESGetDM(snes, &dm));
2216 PetscCall(SNESGetFunction(snes, &F, NULL, NULL));
2217 if (!ctx->subsct[C_FIELD_ID]) {
2218 IS is;
2219
2220 PetscCall(PetscObjectQuery((PetscObject)dm, "IS conductivity", (PetscObject *)&is));
2221 PetscCheck(is, PetscObjectComm((PetscObject)dm), PETSC_ERR_PLIB, "Missing conductivity IS");
2222 PetscCall(MakeScatterAndVec(F, is, &ctx->subvec[C_FIELD_ID], &ctx->subsct[C_FIELD_ID]));
2223 }
2224 if (!ctx->subsct[P_FIELD_ID]) {
2225 IS is;
2226
2227 PetscCall(PetscObjectQuery((PetscObject)dm, "IS potential", (PetscObject *)&is));
2228 PetscCheck(is, PetscObjectComm((PetscObject)dm), PETSC_ERR_PLIB, "Missing potential IS");
2229 PetscCall(MakeScatterAndVec(F, is, &ctx->subvec[P_FIELD_ID], &ctx->subsct[P_FIELD_ID]));
2230 }
2231 PetscCall(VecScatterBegin(ctx->subsct[C_FIELD_ID], F, ctx->subvec[C_FIELD_ID], INSERT_VALUES, SCATTER_FORWARD));
2232 PetscCall(VecScatterEnd(ctx->subsct[C_FIELD_ID], F, ctx->subvec[C_FIELD_ID], INSERT_VALUES, SCATTER_FORWARD));
2233 PetscCall(VecScatterBegin(ctx->subsct[P_FIELD_ID], F, ctx->subvec[P_FIELD_ID], INSERT_VALUES, SCATTER_FORWARD));
2234 PetscCall(VecScatterEnd(ctx->subsct[P_FIELD_ID], F, ctx->subvec[P_FIELD_ID], INSERT_VALUES, SCATTER_FORWARD));
2235 PetscCall(VecNorm(ctx->subvec[C_FIELD_ID], NORM_2, &subnorm[C_FIELD_ID]));
2236 PetscCall(VecNorm(ctx->subvec[P_FIELD_ID], NORM_2, &subnorm[P_FIELD_ID]));
2237 PetscCall(PetscPrintf(PetscObjectComm((PetscObject)dm), " %3" PetscInt_FMT " SNES Function norms %14.12e, %14.12e\n", its, (double)subnorm[C_FIELD_ID], (double)subnorm[P_FIELD_ID]));
2238 PetscFunctionReturn(PETSC_SUCCESS);
2239 }
2240
Run(MPI_Comm comm,AppCtx * ctx)2241 static PetscErrorCode Run(MPI_Comm comm, AppCtx *ctx)
2242 {
2243 DM dm;
2244 TS ts;
2245 Vec u;
2246 AdaptCtx *actx;
2247 PetscBool flg;
2248
2249 PetscFunctionBeginUser;
2250 if (ctx->test_restart) {
2251 PetscViewer subviewer;
2252 PetscMPIInt rank;
2253
2254 PetscCallMPI(MPI_Comm_rank(PETSC_COMM_WORLD, &rank));
2255 PetscCall(PetscViewerGetSubViewer(PETSC_VIEWER_STDOUT_WORLD, comm, &subviewer));
2256 if (ctx->load) PetscCall(PetscViewerASCIIPrintf(subviewer, "rank %d loading from %s\n", rank, ctx->load_filename));
2257 if (ctx->save) PetscCall(PetscViewerASCIIPrintf(subviewer, "rank %d saving to %s\n", rank, ctx->save_filename));
2258 PetscCall(PetscViewerRestoreSubViewer(PETSC_VIEWER_STDOUT_WORLD, comm, &subviewer));
2259 PetscCall(PetscViewerFlush(PETSC_VIEWER_STDOUT_WORLD));
2260 } else {
2261 PetscCall(PetscPrintf(comm, "----------------------------\n"));
2262 PetscCall(PetscPrintf(comm, "Simulation parameters:\n"));
2263 PetscCall(PetscPrintf(comm, " dim : %" PetscInt_FMT "\n", ctx->dim));
2264 PetscCall(PetscPrintf(comm, " r : %g\n", (double)ctx->r));
2265 PetscCall(PetscPrintf(comm, " eps : %g\n", (double)ctx->eps));
2266 PetscCall(PetscPrintf(comm, " alpha: %g\n", (double)ctx->alpha));
2267 PetscCall(PetscPrintf(comm, " gamma: %g\n", (double)ctx->gamma));
2268 PetscCall(PetscPrintf(comm, " D : %g\n", (double)ctx->D));
2269 if (ctx->load) PetscCall(PetscPrintf(comm, " load : %s\n", ctx->load_filename));
2270 else PetscCall(PetscPrintf(comm, " IC : %" PetscInt_FMT "\n", ctx->ic_num));
2271 PetscCall(PetscPrintf(comm, " snum : %" PetscInt_FMT "\n", ctx->source_ctx->n));
2272 for (PetscInt i = 0; i < ctx->source_ctx->n; i++) {
2273 const PetscReal *x0 = ctx->source_ctx->x0 + ctx->dim * i;
2274 const PetscReal w = ctx->source_ctx->w[i];
2275 const PetscReal k = ctx->source_ctx->k[i];
2276 const PetscReal p = ctx->source_ctx->p[i];
2277 const PetscReal r = ctx->source_ctx->r[i];
2278
2279 if (ctx->dim == 2) {
2280 PetscCall(PetscPrintf(comm, " x0 : (%g,%g)\n", (double)x0[0], (double)x0[1]));
2281 } else {
2282 PetscCall(PetscPrintf(comm, " x0 : (%g,%g,%g)\n", (double)x0[0], (double)x0[1], (double)x0[2]));
2283 }
2284 PetscCall(PetscPrintf(comm, " scals: (%g,%g,%g,%g)\n", (double)w, (double)k, (double)p, (double)r));
2285 }
2286 PetscCall(PetscPrintf(comm, "----------------------------\n"));
2287 }
2288
2289 if (!ctx->test_restart) PetscCall(PetscLogStagePush(SetupStage));
2290 PetscCall(CreateMesh(comm, &dm, ctx));
2291 PetscCall(SetupDiscretization(dm, ctx));
2292
2293 PetscCall(TSCreate(comm, &ts));
2294 PetscCall(TSSetApplicationContext(ts, ctx));
2295
2296 PetscCall(TSSetDM(ts, dm));
2297 if (ctx->test_restart) {
2298 PetscViewer subviewer;
2299 PetscMPIInt rank;
2300 PetscInt level;
2301
2302 PetscCall(DMGetRefineLevel(dm, &level));
2303 PetscCallMPI(MPI_Comm_rank(PETSC_COMM_WORLD, &rank));
2304 PetscCall(PetscViewerGetSubViewer(PETSC_VIEWER_STDOUT_WORLD, comm, &subviewer));
2305 PetscCall(PetscViewerASCIIPrintf(subviewer, "rank %d DM refinement level %" PetscInt_FMT "\n", rank, level));
2306 PetscCall(PetscViewerRestoreSubViewer(PETSC_VIEWER_STDOUT_WORLD, comm, &subviewer));
2307 PetscCall(PetscViewerFlush(PETSC_VIEWER_STDOUT_WORLD));
2308 }
2309
2310 if (ctx->test_restart) PetscCall(TSSetMaxSteps(ts, 1));
2311 PetscCall(TSSetMaxTime(ts, 10.0));
2312 PetscCall(TSSetExactFinalTime(ts, TS_EXACTFINALTIME_STEPOVER));
2313 if (!ctx->test_restart) PetscCall(TSMonitorSet(ts, Monitor, NULL, NULL));
2314 PetscCall(TSMonitorSet(ts, MonitorSave, ctx, NULL));
2315 PetscCall(PetscNew(&actx));
2316 if (ctx->amr) PetscCall(TSSetResize(ts, PETSC_TRUE, ResizeSetUp, ResizeTransfer, actx));
2317 PetscCall(TSSetPreStage(ts, PreStage));
2318 PetscCall(TSSetPostStage(ts, PostStage));
2319 PetscCall(TSSetMaxSNESFailures(ts, -1));
2320 PetscCall(TSSetFunctionDomainError(ts, FunctionDomainError));
2321 PetscCall(TSSetFromOptions(ts));
2322 if (ctx->monitor_norms) {
2323 SNES snes;
2324
2325 PetscCall(TSGetSNES(ts, &snes));
2326 PetscCall(SNESMonitorSet(snes, MonitorNorms, ctx, NULL));
2327 }
2328
2329 PetscCall(DMCreateGlobalVector(dm, &u));
2330 PetscCall(PetscObjectSetName((PetscObject)u, "solution_"));
2331 PetscCall(DMHasNamedGlobalVector(dm, "solution_", &flg));
2332 if (flg) { /* load from restart file */
2333 Vec ru;
2334
2335 PetscCall(DMGetNamedGlobalVector(dm, "solution_", &ru));
2336 PetscCall(VecCopy(ru, u));
2337 PetscCall(DMRestoreNamedGlobalVector(dm, "solution_", &ru));
2338 }
2339 PetscCall(SetInitialConditionsAndTolerances(ts, 1, &u, flg));
2340 PetscCall(TSSetSolution(ts, u));
2341 PetscCall(VecDestroy(&u));
2342 PetscCall(DMDestroy(&dm));
2343 if (!ctx->test_restart) PetscCall(PetscLogStagePop());
2344
2345 if (!ctx->test_restart) PetscCall(PetscLogStagePush(SolveStage));
2346 PetscCall(TSSolve(ts, NULL));
2347 if (!ctx->test_restart) PetscCall(PetscLogStagePop());
2348 if (ctx->view_vtk_ctx) PetscCall(TSMonitorSolutionVTKDestroy(&ctx->view_vtk_ctx));
2349 if (ctx->view_hdf5_ctx) PetscCall(PetscViewerAndFormatDestroy(&ctx->view_hdf5_ctx));
2350 PetscCall(DMDestroy(&ctx->view_dm));
2351 for (PetscInt i = 0; i < NUM_FIELDS; i++) {
2352 PetscCall(VecScatterDestroy(&ctx->subsct[i]));
2353 PetscCall(VecDestroy(&ctx->subvec[i]));
2354 }
2355
2356 PetscCall(TSDestroy(&ts));
2357 PetscCall(VecTaggerDestroy(&actx->refineTag));
2358 PetscCall(PetscFree(actx));
2359 PetscFunctionReturn(PETSC_SUCCESS);
2360 }
2361
main(int argc,char ** argv)2362 int main(int argc, char **argv)
2363 {
2364 AppCtx ctx;
2365
2366 PetscFunctionBeginUser;
2367 PetscCall(PetscInitialize(&argc, &argv, NULL, help));
2368 PetscCall(ProcessOptions(&ctx));
2369 PetscCall(PetscLogStageRegister("Setup", &SetupStage));
2370 PetscCall(PetscLogStageRegister("Solve", &SolveStage));
2371 if (ctx.test_restart) { /* Test sequences of save and loads */
2372 PetscMPIInt rank;
2373
2374 PetscCallMPI(MPI_Comm_rank(PETSC_COMM_WORLD, &rank));
2375
2376 /* test saving */
2377 ctx.load = PETSC_FALSE;
2378 ctx.save = PETSC_TRUE;
2379 /* sequential save */
2380 PetscCall(PetscPrintf(PETSC_COMM_WORLD, "Test sequential save\n"));
2381 PetscCall(PetscSNPrintf(ctx.save_filename, sizeof(ctx.save_filename), "test_ex30_seq_%d.h5", rank));
2382 PetscCall(Run(PETSC_COMM_SELF, &ctx));
2383 /* parallel save */
2384 PetscCall(PetscPrintf(PETSC_COMM_WORLD, "Test parallel save\n"));
2385 PetscCall(PetscSNPrintf(ctx.save_filename, sizeof(ctx.save_filename), "test_ex30_par.h5"));
2386 PetscCall(Run(PETSC_COMM_WORLD, &ctx));
2387
2388 /* test loading */
2389 ctx.load = PETSC_TRUE;
2390 ctx.save = PETSC_FALSE;
2391 /* sequential and parallel runs from sequential save */
2392 PetscCall(PetscSNPrintf(ctx.load_filename, sizeof(ctx.load_filename), "test_ex30_seq_0.h5"));
2393 PetscCall(PetscPrintf(PETSC_COMM_WORLD, "Test sequential load from sequential save\n"));
2394 PetscCall(Run(PETSC_COMM_SELF, &ctx));
2395 PetscCall(PetscPrintf(PETSC_COMM_WORLD, "Test parallel load from sequential save\n"));
2396 PetscCall(Run(PETSC_COMM_WORLD, &ctx));
2397 /* sequential and parallel runs from parallel save */
2398 PetscCall(PetscSNPrintf(ctx.load_filename, sizeof(ctx.load_filename), "test_ex30_par.h5"));
2399 PetscCall(PetscPrintf(PETSC_COMM_WORLD, "Test sequential load from parallel save\n"));
2400 PetscCall(Run(PETSC_COMM_SELF, &ctx));
2401 PetscCall(PetscPrintf(PETSC_COMM_WORLD, "Test parallel load from parallel save\n"));
2402 PetscCall(Run(PETSC_COMM_WORLD, &ctx));
2403 } else { /* Run the simulation */
2404 PetscCall(Run(PETSC_COMM_WORLD, &ctx));
2405 }
2406 PetscCall(PetscFree5(ctx.source_ctx->x0, ctx.source_ctx->w, ctx.source_ctx->k, ctx.source_ctx->p, ctx.source_ctx->r));
2407 PetscCall(PetscFree(ctx.source_ctx));
2408 PetscCall(PetscFinalize());
2409 return 0;
2410 }
2411
2412 /*TEST
2413
2414 testset:
2415 args: -dm_plex_box_faces 3,3 -ksp_type preonly -pc_type svd -c_petscspace_degree 1 -p_petscspace_degree 1 -ts_max_steps 1 -initial_snes_test_jacobian -snes_test_jacobian -initial_snes_type ksponly -snes_type ksponly -petscpartitioner_type simple -dm_plex_simplex 0 -ts_adapt_type none -ic_num 3
2416
2417 test:
2418 suffix: 0
2419 nsize: {{1 2}}
2420 args: -dm_refine 1 -lump {{0 1}} -exclude_potential_lte
2421
2422 test:
2423 suffix: 0_split
2424 nsize: {{1 2}}
2425 args: -dm_refine 1 -split
2426
2427 test:
2428 suffix: 0_3d
2429 nsize: {{1 2}}
2430 args: -dm_plex_box_faces 3,3,3 -dim 3 -dm_plex_dim 3 -lump {{0 1}}
2431
2432 test:
2433 suffix: 0_dirk
2434 nsize: {{1 2}}
2435 args: -dm_refine 1 -ts_type dirk
2436
2437 test:
2438 suffix: 0_dirk_mg
2439 nsize: {{1 2}}
2440 args: -dm_refine_hierarchy 1 -ts_type dirk -pc_type mg -mg_levels_pc_type bjacobi -mg_levels_sub_pc_factor_levels 2 -mg_levels_sub_pc_factor_mat_ordering_type rcm -mg_levels_sub_pc_factor_reuse_ordering -mg_coarse_pc_type svd -lump {{0 1}}
2441
2442 test:
2443 suffix: 0_dirk_fieldsplit
2444 nsize: {{1 2}}
2445 args: -dm_refine 1 -ts_type dirk -pc_type fieldsplit -pc_fieldsplit_type multiplicative -lump {{0 1}}
2446
2447 test:
2448 requires: p4est
2449 suffix: 0_p4est
2450 nsize: {{1 2}}
2451 args: -dm_refine 1 -dm_plex_convert_type p4est -lump 0
2452
2453 test:
2454 suffix: 0_periodic
2455 nsize: {{1 2}}
2456 args: -dm_plex_box_bd periodic,periodic -dm_refine_pre 1 -lump {{0 1}}
2457
2458 test:
2459 requires: p4est
2460 suffix: 0_p4est_periodic
2461 nsize: {{1 2}}
2462 args: -dm_plex_box_bd periodic,periodic -dm_refine_pre 1 -dm_plex_convert_type p4est -lump 0
2463
2464 test:
2465 requires: p4est
2466 suffix: 0_p4est_mg
2467 nsize: {{1 2}}
2468 args: -dm_forest_minimum_refinement 0 -dm_forest_initial_refinement 2 -dm_plex_convert_type p4est -pc_type mg -mg_coarse_pc_type svd -mg_levels_pc_type svd -lump 0
2469
2470 testset:
2471 requires: hdf5
2472 args: -test_restart -dm_plex_box_faces 3,3 -ksp_type preonly -pc_type mg -mg_levels_pc_type svd -c_petscspace_degree 1 -p_petscspace_degree 1 -petscpartitioner_type simple -test_restart
2473
2474 test:
2475 requires: !single
2476 suffix: restart
2477 nsize: {{1 2}separate output}
2478 args: -dm_refine_hierarchy {{0 1}separate output} -dm_plex_simplex 0
2479
2480 test:
2481 requires: triangle
2482 suffix: restart_simplex
2483 nsize: {{1 2}separate output}
2484 args: -dm_refine_hierarchy {{0 1}separate output} -dm_plex_simplex 1
2485
2486 test:
2487 requires: !single
2488 suffix: restart_refonly
2489 nsize: {{1 2}separate output}
2490 args: -dm_refine 1 -dm_plex_simplex 0
2491
2492 test:
2493 requires: triangle
2494 suffix: restart_simplex_refonly
2495 nsize: {{1 2}separate output}
2496 args: -dm_refine 1 -dm_plex_simplex 1
2497
2498 test:
2499 suffix: annulus
2500 requires: exodusii
2501 args: -dm_plex_filename ${wPETSC_DIR}/share/petsc/datafiles/meshes/annulus-20.exo -ksp_type preonly -pc_type none -c_petscspace_degree 1 -p_petscspace_degree 1 -ts_max_steps 2 -initial_snes_type ksponly -snes_type ksponly -petscpartitioner_type simple -dm_plex_simplex 0 -ts_adapt_type none -source_num 2 -source_k 1,2
2502
2503 test:
2504 suffix: hdf5_diagnostic
2505 requires: hdf5 exodusii
2506 args: -dm_plex_filename ${wPETSC_DIR}/share/petsc/datafiles/meshes/annulus-20.exo -ksp_type preonly -pc_type none -c_petscspace_degree 1 -p_petscspace_degree 1 -ts_max_steps 2 -initial_snes_type ksponly -snes_type ksponly -petscpartitioner_type simple -dm_plex_simplex 0 -ts_adapt_type none -source_num 2 -source_k 1,2 -monitor_hdf5 diagnostic.h5 -ic_num 3
2507
2508 test:
2509 suffix: vtk_diagnostic
2510 requires: exodusii
2511 args: -dm_plex_filename ${wPETSC_DIR}/share/petsc/datafiles/meshes/annulus-20.exo -ksp_type preonly -pc_type none -c_petscspace_degree 1 -p_petscspace_degree 1 -ts_max_steps 2 -initial_snes_type ksponly -snes_type ksponly -petscpartitioner_type simple -dm_plex_simplex 0 -ts_adapt_type none -source_num 2 -source_k 1,2 -monitor_vtk 'diagnostic-%03d.vtu' -ic_num 3
2512
2513 test:
2514 suffix: full_cdisc
2515 args: -dm_plex_box_faces 3,3 -c_petscspace_degree 0 -p_petscspace_degree 1 -ts_max_steps 1 -petscpartitioner_type simple -dm_plex_simplex 0 -ts_adapt_type none -ic_num 0 -dm_refine 1 -ts_type beuler -pc_type fieldsplit -pc_fieldsplit_type schur -pc_fieldsplit_schur_precondition selfp -fieldsplit_conductivity_pc_type pbjacobi -fieldsplit_potential_mat_schur_complement_ainv_type blockdiag -fieldsplit_potential_ksp_type preonly -fieldsplit_potential_pc_type svd
2516
2517 test:
2518 suffix: full_cdisc_split
2519 args: -dm_plex_box_faces 3,3 -c_petscspace_degree 0 -p_petscspace_degree 1 -ts_max_steps 1 -petscpartitioner_type simple -dm_plex_simplex 0 -ts_adapt_type none -ic_num 0 -dm_refine 1 -ts_type beuler -pc_type fieldsplit -pc_fieldsplit_type additive -fieldsplit_conductivity_pc_type pbjacobi -fieldsplit_potential_pc_type gamg -split -monitor_norms
2520
2521 test:
2522 suffix: full_cdisc_minres
2523 args: -dm_plex_box_faces 3,3 -c_petscspace_degree 0 -p_petscspace_degree 1 -ts_max_steps 1 -petscpartitioner_type simple -dm_plex_simplex 0 -ts_adapt_type none -ic_num 0 -dm_refine 1 -ts_type beuler -pc_type fieldsplit -pc_fieldsplit_type schur -pc_fieldsplit_schur_fact_type diag -pc_fieldsplit_schur_precondition selfp -fieldsplit_conductivity_pc_type pbjacobi -fieldsplit_potential_mat_schur_complement_ainv_type blockdiag -fieldsplit_potential_ksp_type preonly -fieldsplit_potential_pc_type svd -ksp_type minres
2524
2525 TEST*/
2526