xref: /petsc/src/mat/impls/mffd/mffddef.c (revision 5b6bfdb9644f185dbf5e5a09b808ec241507e1e7)
1 
2 /*
3   Implements the DS PETSc approach for computing the h
4   parameter used with the finite difference based matrix-free
5   Jacobian-vector products.
6 
7   To make your own: clone this file and modify for your needs.
8 
9   Mandatory functions:
10   -------------------
11       MatMFFDCompute_  - for a given point and direction computes h
12 
13       MatCreateMFFD _ - fills in the MatMFFD data structure
14                            for this particular implementation
15 
16 
17    Optional functions:
18    -------------------
19       MatMFFDView_ - prints information about the parameters being used.
20                        This is called when SNESView() or -snes_view is used.
21 
22       MatMFFDSetFromOptions_ - checks the options database for options that
23                                apply to this method.
24 
25       MatMFFDDestroy_ - frees any space allocated by the routines above
26 
27 */
28 
29 /*
30     This include file defines the data structure  MatMFFD that
31    includes information about the computation of h. It is shared by
32    all implementations that people provide
33 */
34 #include <petsc/private/matimpl.h>
35 #include <../src/mat/impls/mffd/mffdimpl.h>   /*I  "petscmat.h"   I*/
36 
37 /*
38       The  method has one parameter that is used to
39    "cutoff" very small values. This is stored in a data structure
40    that is only visible to this file. If your method has no parameters
41    it can omit this, if it has several simply reorganize the data structure.
42    The data structure is "hung-off" the MatMFFD data structure in
43    the void *hctx; field.
44 */
45 typedef struct {
46   PetscReal umin;          /* minimum allowable u'a value relative to |u|_1 */
47 } MatMFFD_DS;
48 
49 /*
50    MatMFFDCompute_DS - Standard PETSc code for computing the
51    differencing paramter (h) for use with matrix-free finite differences.
52 
53    Input Parameters:
54 +  ctx - the matrix free context
55 .  U - the location at which you want the Jacobian
56 -  a - the direction you want the derivative
57 
58 
59    Output Parameter:
60 .  h - the scale computed
61 
62 */
63 static PetscErrorCode MatMFFDCompute_DS(MatMFFD ctx,Vec U,Vec a,PetscScalar *h,PetscBool  *zeroa)
64 {
65   MatMFFD_DS     *hctx = (MatMFFD_DS*)ctx->hctx;
66   PetscReal      nrm,sum,umin = hctx->umin;
67   PetscScalar    dot;
68   PetscErrorCode ierr;
69 
70   PetscFunctionBegin;
71   if (!(ctx->count % ctx->recomputeperiod)) {
72     /*
73      This algorithm requires 2 norms and 1 inner product. Rather than
74      use directly the VecNorm() and VecDot() routines (and thus have
75      three separate collective operations, we use the VecxxxBegin/End() routines
76     */
77     ierr = VecDotBegin(U,a,&dot);CHKERRQ(ierr);
78     ierr = VecNormBegin(a,NORM_1,&sum);CHKERRQ(ierr);
79     ierr = VecNormBegin(a,NORM_2,&nrm);CHKERRQ(ierr);
80     ierr = VecDotEnd(U,a,&dot);CHKERRQ(ierr);
81     ierr = VecNormEnd(a,NORM_1,&sum);CHKERRQ(ierr);
82     ierr = VecNormEnd(a,NORM_2,&nrm);CHKERRQ(ierr);
83 
84     if (nrm == 0.0) {
85       *zeroa = PETSC_TRUE;
86       PetscFunctionReturn(0);
87     }
88     *zeroa = PETSC_FALSE;
89 
90     /*
91       Safeguard for step sizes that are "too small"
92     */
93     if (PetscAbsScalar(dot) < umin*sum && PetscRealPart(dot) >= 0.0) dot = umin*sum;
94     else if (PetscAbsScalar(dot) < 0.0 && PetscRealPart(dot) > -umin*sum) dot = -umin*sum;
95     *h = ctx->error_rel*dot/(nrm*nrm);
96     if (PetscIsInfOrNanScalar(*h)) SETERRQ3(PETSC_COMM_SELF,PETSC_ERR_PLIB,"Differencing parameter is not a number sum = %g dot = %g norm = %g",(double)sum,(double)PetscRealPart(dot),(double)nrm);
97   } else {
98     *h = ctx->currenth;
99   }
100   ctx->count++;
101   PetscFunctionReturn(0);
102 }
103 
104 /*
105    MatMFFDView_DS - Prints information about this particular
106    method for computing h. Note that this does not print the general
107    information about the matrix-free method, as such info is printed
108    by the calling routine.
109 
110    Input Parameters:
111 +  ctx - the matrix free context
112 -  viewer - the PETSc viewer
113 */
114 static PetscErrorCode MatMFFDView_DS(MatMFFD ctx,PetscViewer viewer)
115 {
116   MatMFFD_DS     *hctx = (MatMFFD_DS*)ctx->hctx;
117   PetscErrorCode ierr;
118   PetscBool      iascii;
119 
120   PetscFunctionBegin;
121   /*
122      Currently this only handles the ascii file viewers, others
123      could be added, but for this type of object other viewers
124      make less sense
125   */
126   ierr = PetscObjectTypeCompare((PetscObject)viewer,PETSCVIEWERASCII,&iascii);CHKERRQ(ierr);
127   if (iascii) {
128     ierr = PetscViewerASCIIPrintf(viewer,"    umin=%g (minimum iterate parameter)\n",(double)hctx->umin);CHKERRQ(ierr);
129   }
130   PetscFunctionReturn(0);
131 }
132 
133 /*
134    MatMFFDSetFromOptions_DS - Looks in the options database for
135    any options appropriate for this method.
136 
137    Input Parameter:
138 .  ctx - the matrix free context
139 
140 */
141 static PetscErrorCode MatMFFDSetFromOptions_DS(PetscOptionItems *PetscOptionsObject,MatMFFD ctx)
142 {
143   PetscErrorCode ierr;
144   MatMFFD_DS     *hctx = (MatMFFD_DS*)ctx->hctx;
145 
146   PetscFunctionBegin;
147   ierr = PetscOptionsHead(PetscOptionsObject,"Finite difference matrix free parameters");CHKERRQ(ierr);
148   ierr = PetscOptionsReal("-mat_mffd_umin","umin","MatMFFDDSSetUmin",hctx->umin,&hctx->umin,0);CHKERRQ(ierr);
149   ierr = PetscOptionsTail();CHKERRQ(ierr);
150   PetscFunctionReturn(0);
151 }
152 
153 /*
154    MatMFFDDestroy_DS - Frees the space allocated by
155    MatCreateMFFD_DS().
156 
157    Input Parameter:
158 .  ctx - the matrix free context
159 
160    Notes:
161    Does not free the ctx, that is handled by the calling routine
162 */
163 static PetscErrorCode MatMFFDDestroy_DS(MatMFFD ctx)
164 {
165   PetscErrorCode ierr;
166 
167   PetscFunctionBegin;
168   ierr = PetscFree(ctx->hctx);CHKERRQ(ierr);
169   PetscFunctionReturn(0);
170 }
171 
172 /*
173    The following two routines use the PetscObjectCompose() and PetscObjectQuery()
174    mechanism to allow the user to change the Umin parameter used in this method.
175 */
176 PetscErrorCode MatMFFDDSSetUmin_DS(Mat mat,PetscReal umin)
177 {
178   MatMFFD    ctx = (MatMFFD)mat->data;
179   MatMFFD_DS *hctx;
180 
181   PetscFunctionBegin;
182   if (!ctx) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ARG_WRONG,"MatMFFDDSSetUmin() attached to non-shell matrix");
183   hctx       = (MatMFFD_DS*)ctx->hctx;
184   hctx->umin = umin;
185   PetscFunctionReturn(0);
186 }
187 
188 /*@
189     MatMFFDDSSetUmin - Sets the "umin" parameter used by the
190     PETSc routine for computing the differencing parameter, h, which is used
191     for matrix-free Jacobian-vector products.
192 
193    Input Parameters:
194 +  A - the matrix created with MatCreateSNESMF()
195 -  umin - the parameter
196 
197    Level: advanced
198 
199    Notes:
200    See the manual page for MatCreateSNESMF() for a complete description of the
201    algorithm used to compute h.
202 
203 .seealso: MatMFFDSetFunctionError(), MatCreateSNESMF()
204 
205 @*/
206 PetscErrorCode  MatMFFDDSSetUmin(Mat A,PetscReal umin)
207 {
208   PetscErrorCode ierr;
209 
210   PetscFunctionBegin;
211   PetscValidHeaderSpecific(A,MAT_CLASSID,1);
212   ierr = PetscTryMethod(A,"MatMFFDDSSetUmin_C",(Mat,PetscReal),(A,umin));CHKERRQ(ierr);
213   PetscFunctionReturn(0);
214 }
215 
216 /*MC
217      MATMFFD_DS - the code for compute the "h" used in the finite difference
218             matrix-free matrix vector product.  This code
219         implements the strategy in Dennis and Schnabel, "Numerical Methods for Unconstrained
220         Optimization and Nonlinear Equations".
221 
222    Options Database Keys:
223 .  -mat_mffd_umin <umin> see MatMFFDDSSetUmin()
224 
225    Level: intermediate
226 
227    Notes: Requires 2 norms and 1 inner product, but they are computed together
228        so only one parallel collective operation is needed. See MATMFFD_WP for a method
229        (with GMRES) that requires NO collective operations.
230 
231    Formula used:
232      F'(u)*a = [F(u+h*a) - F(u)]/h where
233      h = error_rel*u'a/||a||^2                        if  |u'a| > umin*||a||_{1}
234        = error_rel*umin*sign(u'a)*||a||_{1}/||a||^2   otherwise
235  where
236      error_rel = square root of relative error in function evaluation
237      umin = minimum iterate parameter
238 
239 .seealso: MATMFFD, MatCreateMFFD(), MatCreateSNESMF(), MATMFFD_WP, MatMFFDDSSetUmin()
240 
241 M*/
242 PETSC_EXTERN PetscErrorCode MatCreateMFFD_DS(MatMFFD ctx)
243 {
244   MatMFFD_DS     *hctx;
245   PetscErrorCode ierr;
246 
247   PetscFunctionBegin;
248   /* allocate my own private data structure */
249   ierr      = PetscNewLog(ctx,&hctx);CHKERRQ(ierr);
250   ctx->hctx = (void*)hctx;
251   /* set a default for my parameter */
252   hctx->umin = 1.e-6;
253 
254   /* set the functions I am providing */
255   ctx->ops->compute        = MatMFFDCompute_DS;
256   ctx->ops->destroy        = MatMFFDDestroy_DS;
257   ctx->ops->view           = MatMFFDView_DS;
258   ctx->ops->setfromoptions = MatMFFDSetFromOptions_DS;
259 
260   ierr = PetscObjectComposeFunction((PetscObject)ctx->mat,"MatMFFDDSSetUmin_C",MatMFFDDSSetUmin_DS);CHKERRQ(ierr);
261   PetscFunctionReturn(0);
262 }
263 
264 
265 
266 
267 
268 
269 
270