xref: /petsc/src/snes/tutorials/ex59.c (revision 5f80ce2ab25dff0f4601e710601cbbcecf323266)
1c4762a1bSJed Brown 
2c4762a1bSJed Brown static const char help[] = "Tries to solve u`` + u^{2} = f for an easy case and an impossible case.\n\n";
3c4762a1bSJed Brown 
4c4762a1bSJed Brown /*
5c4762a1bSJed Brown        This example was contributed by Peter Graf to show how SNES fails when given a nonlinear problem with no solution.
6c4762a1bSJed Brown 
7c4762a1bSJed Brown        Run with -n 14 to see fail to converge and -n 15 to see convergence
8c4762a1bSJed Brown 
9c4762a1bSJed Brown        The option -second_order uses a different discretization of the Neumann boundary condition and always converges
10c4762a1bSJed Brown 
11c4762a1bSJed Brown */
12c4762a1bSJed Brown 
13c4762a1bSJed Brown #include <petscsnes.h>
14c4762a1bSJed Brown 
15c4762a1bSJed Brown PetscBool second_order = PETSC_FALSE;
16c4762a1bSJed Brown #define X0DOT      -2.0
17c4762a1bSJed Brown #define X1          5.0
18c4762a1bSJed Brown #define KPOW        2.0
19c4762a1bSJed Brown const PetscScalar sperturb = 1.1;
20c4762a1bSJed Brown 
21c4762a1bSJed Brown /*
22c4762a1bSJed Brown    User-defined routines
23c4762a1bSJed Brown */
24c4762a1bSJed Brown PetscErrorCode FormJacobian(SNES,Vec,Mat,Mat,void*);
25c4762a1bSJed Brown PetscErrorCode FormFunction(SNES,Vec,Vec,void*);
26c4762a1bSJed Brown 
27c4762a1bSJed Brown int main(int argc,char **argv)
28c4762a1bSJed Brown {
29c4762a1bSJed Brown   SNES              snes;                /* SNES context */
30c4762a1bSJed Brown   Vec               x,r,F;               /* vectors */
31c4762a1bSJed Brown   Mat               J;                   /* Jacobian */
32c4762a1bSJed Brown   PetscErrorCode    ierr;
33c4762a1bSJed Brown   PetscInt          it,n = 11,i;
34c4762a1bSJed Brown   PetscReal         h,xp = 0.0;
35c4762a1bSJed Brown   PetscScalar       v;
36c4762a1bSJed Brown   const PetscScalar a = X0DOT;
37c4762a1bSJed Brown   const PetscScalar b = X1;
38c4762a1bSJed Brown   const PetscScalar k = KPOW;
39c4762a1bSJed Brown   PetscScalar       v2;
40c4762a1bSJed Brown   PetscScalar       *xx;
41c4762a1bSJed Brown 
42c4762a1bSJed Brown   ierr = PetscInitialize(&argc,&argv,(char*)0,help);if (ierr) return ierr;
43*5f80ce2aSJacob Faibussowitsch   CHKERRQ(PetscOptionsGetInt(NULL,NULL,"-n",&n,NULL));
44*5f80ce2aSJacob Faibussowitsch   CHKERRQ(PetscOptionsGetBool(NULL,NULL,"-second_order",&second_order,NULL));
45c4762a1bSJed Brown   h    = 1.0/(n-1);
46c4762a1bSJed Brown 
47c4762a1bSJed Brown   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
48c4762a1bSJed Brown      Create nonlinear solver context
49c4762a1bSJed Brown      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
50c4762a1bSJed Brown 
51*5f80ce2aSJacob Faibussowitsch   CHKERRQ(SNESCreate(PETSC_COMM_WORLD,&snes));
52c4762a1bSJed Brown 
53c4762a1bSJed Brown   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
54c4762a1bSJed Brown      Create vector data structures; set function evaluation routine
55c4762a1bSJed Brown      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
56c4762a1bSJed Brown 
57*5f80ce2aSJacob Faibussowitsch   CHKERRQ(VecCreate(PETSC_COMM_SELF,&x));
58*5f80ce2aSJacob Faibussowitsch   CHKERRQ(VecSetSizes(x,PETSC_DECIDE,n));
59*5f80ce2aSJacob Faibussowitsch   CHKERRQ(VecSetFromOptions(x));
60*5f80ce2aSJacob Faibussowitsch   CHKERRQ(VecDuplicate(x,&r));
61*5f80ce2aSJacob Faibussowitsch   CHKERRQ(VecDuplicate(x,&F));
62c4762a1bSJed Brown 
63*5f80ce2aSJacob Faibussowitsch   CHKERRQ(SNESSetFunction(snes,r,FormFunction,(void*)F));
64c4762a1bSJed Brown 
65c4762a1bSJed Brown   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
66c4762a1bSJed Brown      Create matrix data structures; set Jacobian evaluation routine
67c4762a1bSJed Brown      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
68c4762a1bSJed Brown 
69*5f80ce2aSJacob Faibussowitsch   CHKERRQ(MatCreateSeqAIJ(PETSC_COMM_SELF,n,n,3,NULL,&J));
70c4762a1bSJed Brown 
71c4762a1bSJed Brown   /*
72c4762a1bSJed Brown      Note that in this case we create separate matrices for the Jacobian
73c4762a1bSJed Brown      and preconditioner matrix.  Both of these are computed in the
74c4762a1bSJed Brown      routine FormJacobian()
75c4762a1bSJed Brown   */
76*5f80ce2aSJacob Faibussowitsch   /*  CHKERRQ(SNESSetJacobian(snes,NULL,JPrec,FormJacobian,0)); */
77*5f80ce2aSJacob Faibussowitsch   CHKERRQ(SNESSetJacobian(snes,J,J,FormJacobian,0));
78*5f80ce2aSJacob Faibussowitsch   /*  CHKERRQ(SNESSetJacobian(snes,J,JPrec,FormJacobian,0)); */
79c4762a1bSJed Brown 
80c4762a1bSJed Brown   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
81c4762a1bSJed Brown      Customize nonlinear solver; set runtime options
82c4762a1bSJed Brown    - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
83c4762a1bSJed Brown 
84*5f80ce2aSJacob Faibussowitsch   CHKERRQ(SNESSetFromOptions(snes));
85c4762a1bSJed Brown 
86c4762a1bSJed Brown   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
87c4762a1bSJed Brown      Initialize application:
88c4762a1bSJed Brown      Store right-hand-side of PDE and exact solution
89c4762a1bSJed Brown    - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
90c4762a1bSJed Brown 
91c4762a1bSJed Brown   /* set right hand side and initial guess to be exact solution of continuim problem */
92c4762a1bSJed Brown #define SQR(x) ((x)*(x))
93c4762a1bSJed Brown   xp = 0.0;
94c4762a1bSJed Brown   for (i=0; i<n; i++)
95c4762a1bSJed Brown   {
96c4762a1bSJed Brown     v    = k*(k-1.)*(b-a)*PetscPowScalar(xp,k-2.) + SQR(a*xp) + SQR(b-a)*PetscPowScalar(xp,2.*k) + 2.*a*(b-a)*PetscPowScalar(xp,k+1.);
97*5f80ce2aSJacob Faibussowitsch     CHKERRQ(VecSetValues(F,1,&i,&v,INSERT_VALUES));
98c4762a1bSJed Brown     v2   = a*xp + (b-a)*PetscPowScalar(xp,k);
99*5f80ce2aSJacob Faibussowitsch     CHKERRQ(VecSetValues(x,1,&i,&v2,INSERT_VALUES));
100c4762a1bSJed Brown     xp  += h;
101c4762a1bSJed Brown   }
102c4762a1bSJed Brown 
103c4762a1bSJed Brown   /* perturb initial guess */
104*5f80ce2aSJacob Faibussowitsch   CHKERRQ(VecGetArray(x,&xx));
105c4762a1bSJed Brown   for (i=0; i<n; i++) {
106c4762a1bSJed Brown     v2   = xx[i]*sperturb;
107*5f80ce2aSJacob Faibussowitsch     CHKERRQ(VecSetValues(x,1,&i,&v2,INSERT_VALUES));
108c4762a1bSJed Brown   }
109*5f80ce2aSJacob Faibussowitsch   CHKERRQ(VecRestoreArray(x,&xx));
110c4762a1bSJed Brown 
111*5f80ce2aSJacob Faibussowitsch   CHKERRQ(SNESSolve(snes,NULL,x));
112*5f80ce2aSJacob Faibussowitsch   CHKERRQ(SNESGetIterationNumber(snes,&it));
113*5f80ce2aSJacob Faibussowitsch   CHKERRQ(PetscPrintf(PETSC_COMM_SELF,"SNES iterations = %D\n\n",it));
114c4762a1bSJed Brown 
115c4762a1bSJed Brown   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
116c4762a1bSJed Brown      Free work space.  All PETSc objects should be destroyed when they
117c4762a1bSJed Brown      are no longer needed.
118c4762a1bSJed Brown    - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
119c4762a1bSJed Brown 
120*5f80ce2aSJacob Faibussowitsch   CHKERRQ(VecDestroy(&x));     CHKERRQ(VecDestroy(&r));
121*5f80ce2aSJacob Faibussowitsch   CHKERRQ(VecDestroy(&F));     CHKERRQ(MatDestroy(&J));
122*5f80ce2aSJacob Faibussowitsch   CHKERRQ(SNESDestroy(&snes));
123c4762a1bSJed Brown   ierr = PetscFinalize();
124c4762a1bSJed Brown   return ierr;
125c4762a1bSJed Brown }
126c4762a1bSJed Brown 
127c4762a1bSJed Brown PetscErrorCode FormFunction(SNES snes,Vec x,Vec f,void *dummy)
128c4762a1bSJed Brown {
129c4762a1bSJed Brown   const PetscScalar *xx;
130c4762a1bSJed Brown   PetscScalar       *ff,*FF,d,d2;
131c4762a1bSJed Brown   PetscInt          i,n;
132c4762a1bSJed Brown 
133*5f80ce2aSJacob Faibussowitsch   CHKERRQ(VecGetArrayRead(x,&xx));
134*5f80ce2aSJacob Faibussowitsch   CHKERRQ(VecGetArray(f,&ff));
135*5f80ce2aSJacob Faibussowitsch   CHKERRQ(VecGetArray((Vec)dummy,&FF));
136*5f80ce2aSJacob Faibussowitsch   CHKERRQ(VecGetSize(x,&n));
137c4762a1bSJed Brown   d    = (PetscReal)(n - 1); d2 = d*d;
138c4762a1bSJed Brown 
139c4762a1bSJed Brown   if (second_order) ff[0] = d*(0.5*d*(-xx[2] + 4.*xx[1] - 3.*xx[0]) - X0DOT);
140c4762a1bSJed Brown   else ff[0] = d*(d*(xx[1] - xx[0]) - X0DOT);
141c4762a1bSJed Brown 
142c4762a1bSJed Brown   for (i=1; i<n-1; i++) ff[i] = d2*(xx[i-1] - 2.*xx[i] + xx[i+1]) + xx[i]*xx[i] - FF[i];
143c4762a1bSJed Brown 
144c4762a1bSJed Brown   ff[n-1] = d*d*(xx[n-1] - X1);
145*5f80ce2aSJacob Faibussowitsch   CHKERRQ(VecRestoreArrayRead(x,&xx));
146*5f80ce2aSJacob Faibussowitsch   CHKERRQ(VecRestoreArray(f,&ff));
147*5f80ce2aSJacob Faibussowitsch   CHKERRQ(VecRestoreArray((Vec)dummy,&FF));
148c4762a1bSJed Brown   return 0;
149c4762a1bSJed Brown }
150c4762a1bSJed Brown 
151c4762a1bSJed Brown PetscErrorCode FormJacobian(SNES snes,Vec x,Mat jac,Mat prejac,void *dummy)
152c4762a1bSJed Brown {
153c4762a1bSJed Brown   const PetscScalar *xx;
154c4762a1bSJed Brown   PetscScalar       A[3],d,d2;
155c4762a1bSJed Brown   PetscInt          i,n,j[3];
156c4762a1bSJed Brown 
157*5f80ce2aSJacob Faibussowitsch   CHKERRQ(VecGetSize(x,&n));
158*5f80ce2aSJacob Faibussowitsch   CHKERRQ(VecGetArrayRead(x,&xx));
159c4762a1bSJed Brown   d    = (PetscReal)(n - 1); d2 = d*d;
160c4762a1bSJed Brown 
161c4762a1bSJed Brown   i = 0;
162c4762a1bSJed Brown   if (second_order) {
163c4762a1bSJed Brown     j[0] = 0; j[1] = 1; j[2] = 2;
164c4762a1bSJed Brown     A[0] = -3.*d*d*0.5; A[1] = 4.*d*d*0.5;  A[2] = -1.*d*d*0.5;
165*5f80ce2aSJacob Faibussowitsch     CHKERRQ(MatSetValues(prejac,1,&i,3,j,A,INSERT_VALUES));
166c4762a1bSJed Brown   } else {
167c4762a1bSJed Brown     j[0] = 0; j[1] = 1;
168c4762a1bSJed Brown     A[0] = -d*d; A[1] = d*d;
169*5f80ce2aSJacob Faibussowitsch     CHKERRQ(MatSetValues(prejac,1,&i,2,j,A,INSERT_VALUES));
170c4762a1bSJed Brown   }
171c4762a1bSJed Brown   for (i=1; i<n-1; i++) {
172c4762a1bSJed Brown     j[0] = i - 1; j[1] = i;                   j[2] = i + 1;
173c4762a1bSJed Brown     A[0] = d2;    A[1] = -2.*d2 + 2.*xx[i];  A[2] = d2;
174*5f80ce2aSJacob Faibussowitsch     CHKERRQ(MatSetValues(prejac,1,&i,3,j,A,INSERT_VALUES));
175c4762a1bSJed Brown   }
176c4762a1bSJed Brown 
177c4762a1bSJed Brown   i    = n-1;
178c4762a1bSJed Brown   A[0] = d*d;
179*5f80ce2aSJacob Faibussowitsch   CHKERRQ(MatSetValues(prejac,1,&i,1,&i,&A[0],INSERT_VALUES));
180c4762a1bSJed Brown 
181*5f80ce2aSJacob Faibussowitsch   CHKERRQ(MatAssemblyBegin(jac,MAT_FINAL_ASSEMBLY));
182*5f80ce2aSJacob Faibussowitsch   CHKERRQ(MatAssemblyEnd(jac,MAT_FINAL_ASSEMBLY));
183*5f80ce2aSJacob Faibussowitsch   CHKERRQ(MatAssemblyBegin(prejac,MAT_FINAL_ASSEMBLY));
184*5f80ce2aSJacob Faibussowitsch   CHKERRQ(MatAssemblyEnd(prejac,MAT_FINAL_ASSEMBLY));
185c4762a1bSJed Brown 
186*5f80ce2aSJacob Faibussowitsch   CHKERRQ(VecRestoreArrayRead(x,&xx));
187c4762a1bSJed Brown   return 0;
188c4762a1bSJed Brown }
189c4762a1bSJed Brown 
190c4762a1bSJed Brown /*TEST
191c4762a1bSJed Brown 
192c4762a1bSJed Brown    test:
193c4762a1bSJed Brown       args: -n 14 -snes_monitor_short -snes_converged_reason
194c4762a1bSJed Brown       requires: !single
195c4762a1bSJed Brown 
196c4762a1bSJed Brown    test:
197c4762a1bSJed Brown       suffix: 2
198c4762a1bSJed Brown       args: -n 15 -snes_monitor_short -snes_converged_reason
199c4762a1bSJed Brown       requires: !single
200c4762a1bSJed Brown 
201c4762a1bSJed Brown    test:
202c4762a1bSJed Brown       suffix: 3
203c4762a1bSJed Brown       args: -n 14 -second_order -snes_monitor_short -snes_converged_reason
204c4762a1bSJed Brown       requires: !single
205c4762a1bSJed Brown 
206c4762a1bSJed Brown TEST*/
207