xref: /petsc/src/ksp/pc/impls/svd/svd.c (revision 0feba352864cb2b6ab156bb0bcb562b8a3f04b68)
1 
2 #include <private/pcimpl.h>   /*I "petscpc.h" I*/
3 #include <petscblaslapack.h>
4 
5 /*
6    Private context (data structure) for the SVD preconditioner.
7 */
8 typedef struct {
9   Vec         diag,work;
10   Mat         A,U,V;
11   PetscInt    nzero;
12   PetscReal   zerosing;         /* measure of smallest singular value treated as nonzero */
13   PetscViewer monitor;
14 } PC_SVD;
15 
16 
17 /* -------------------------------------------------------------------------- */
18 /*
19    PCSetUp_SVD - Prepares for the use of the SVD preconditioner
20                     by setting data structures and options.
21 
22    Input Parameter:
23 .  pc - the preconditioner context
24 
25    Application Interface Routine: PCSetUp()
26 
27    Notes:
28    The interface routine PCSetUp() is not usually called directly by
29    the user, but instead is called by PCApply() if necessary.
30 */
31 #undef __FUNCT__
32 #define __FUNCT__ "PCSetUp_SVD"
33 static PetscErrorCode PCSetUp_SVD(PC pc)
34 {
35 #if defined(PETSC_MISSING_LAPACK_GESVD)
36   SETERRQ(((PetscObject)pc)->comm,PETSC_ERR_SUP,"GESVD - Lapack routine is unavailable\nNot able to provide singular value estimates.");
37 #else
38   PC_SVD         *jac = (PC_SVD*)pc->data;
39   PetscErrorCode ierr;
40   PetscScalar    *a,*u,*v,*d,*work;
41   PetscBLASInt   nb,lwork;
42   PetscInt       i,n;
43 
44   PetscFunctionBegin;
45   if (!jac->diag) {
46     /* assume square matrices */
47     ierr = MatGetVecs(pc->pmat,&jac->diag,&jac->work);CHKERRQ(ierr);
48   }
49   ierr = MatDestroy(&jac->A);CHKERRQ(ierr);
50   ierr = MatConvert(pc->pmat,MATSEQDENSE,MAT_INITIAL_MATRIX,&jac->A);CHKERRQ(ierr);
51   if (!jac->U) {
52     ierr = MatDuplicate(jac->A,MAT_DO_NOT_COPY_VALUES,&jac->U);CHKERRQ(ierr);
53     ierr = MatDuplicate(jac->A,MAT_DO_NOT_COPY_VALUES,&jac->V);CHKERRQ(ierr);
54   }
55   ierr = MatGetSize(pc->pmat,&n,PETSC_NULL);CHKERRQ(ierr);
56   nb    = PetscBLASIntCast(n);
57   lwork = 5*nb;
58   ierr  = PetscMalloc(lwork*sizeof(PetscScalar),&work);CHKERRQ(ierr);
59   ierr  = MatGetArray(jac->A,&a);CHKERRQ(ierr);
60   ierr  = MatGetArray(jac->U,&u);CHKERRQ(ierr);
61   ierr  = MatGetArray(jac->V,&v);CHKERRQ(ierr);
62   ierr  = VecGetArray(jac->diag,&d);CHKERRQ(ierr);
63 #if !defined(PETSC_USE_COMPLEX)
64   {
65     PetscBLASInt lierr;
66     LAPACKgesvd_("A","A",&nb,&nb,a,&nb,d,u,&nb,v,&nb,work,&lwork,&lierr);
67     if (lierr) SETERRQ1(PETSC_COMM_SELF,PETSC_ERR_LIB,"gesv() error %d",lierr);
68   }
69 #else
70   SETERRQ(PETSC_COMM_SELF,PETSC_ERR_SUP,"Not coded for complex");
71 #endif
72   ierr  = MatRestoreArray(jac->A,&a);CHKERRQ(ierr);
73   ierr  = MatRestoreArray(jac->U,&u);CHKERRQ(ierr);
74   ierr  = MatRestoreArray(jac->V,&v);CHKERRQ(ierr);
75   for (i=n-1; i>=0; i--) if (PetscRealPart(d[i]) > jac->zerosing) break;
76   jac->nzero = n-1-i;
77   if (jac->monitor) {
78     ierr = PetscViewerASCIIAddTab(jac->monitor,((PetscObject)pc)->tablevel);CHKERRQ(ierr);
79     ierr = PetscViewerASCIIPrintf(jac->monitor,"    SVD: condition number %14.12e, %D of %D singular values are (nearly) zero\n",(double)PetscRealPart(d[0]/d[n-1]),jac->nzero,n);CHKERRQ(ierr);
80     if (n >= 10) {              /* print 5 smallest and 5 largest */
81       ierr = PetscViewerASCIIPrintf(jac->monitor,"    SVD: smallest singular values: %14.12e %14.12e %14.12e %14.12e %14.12e\n",(double)PetscRealPart(d[n-1]),(double)PetscRealPart(d[n-2]),(double)PetscRealPart(d[n-3]),(double)PetscRealPart(d[n-4]),(double)PetscRealPart(d[n-5]));CHKERRQ(ierr);
82       ierr = PetscViewerASCIIPrintf(jac->monitor,"    SVD: largest singular values : %14.12e %14.12e %14.12e %14.12e %14.12e\n",(double)PetscRealPart(d[4]),(double)PetscRealPart(d[3]),(double)PetscRealPart(d[2]),(double)PetscRealPart(d[1]),(double)PetscRealPart(d[0]));CHKERRQ(ierr);
83     } else {                    /* print all singular values */
84       char buf[256],*p;
85       size_t left = sizeof buf,used;
86       PetscInt thisline;
87       for (p=buf,i=n-1,thisline=1; i>=0; i--,thisline++) {
88         ierr = PetscSNPrintfCount(p,left," %14.12e",&used,(double)PetscRealPart(d[i]));CHKERRQ(ierr);
89         left -= used;
90         p += used;
91         if (thisline > 4 || i==0) {
92           ierr = PetscViewerASCIIPrintf(jac->monitor,"    SVD: singular values:%s\n",buf);CHKERRQ(ierr);
93           p = buf;
94           thisline = 0;
95         }
96       }
97     }
98     ierr = PetscViewerASCIISubtractTab(jac->monitor,((PetscObject)pc)->tablevel);CHKERRQ(ierr);
99   }
100   ierr = PetscInfo2(pc,"Largest and smallest singular values %14.12e %14.12e\n",(double)PetscRealPart(d[0]),(double)PetscRealPart(d[n-1]));
101   for (i=0; i<n-jac->nzero; i++) d[i] = 1.0/d[i];
102   for (; i<n; i++) d[i] = 0.0;
103   ierr = PetscInfo1(pc,"Number of zero or nearly singular values %D\n",jac->nzero);
104   ierr = VecRestoreArray(jac->diag,&d);CHKERRQ(ierr);
105 #if defined(foo)
106 {
107   PetscViewer viewer;
108   ierr = PetscViewerBinaryOpen(PETSC_COMM_SELF,"joe",FILE_MODE_WRITE,&viewer);CHKERRQ(ierr);
109   ierr = MatView(jac->A,viewer);CHKERRQ(ierr);
110   ierr = MatView(jac->U,viewer);CHKERRQ(ierr);
111   ierr = MatView(jac->V,viewer);CHKERRQ(ierr);
112   ierr = VecView(jac->diag,viewer);CHKERRQ(ierr);
113   ierr = PetscViewerDestroy(viewer);CHKERRQ(ierr);
114  }
115 #endif
116   ierr = PetscFree(work);
117   PetscFunctionReturn(0);
118 #endif
119 }
120 
121 /* -------------------------------------------------------------------------- */
122 /*
123    PCApply_SVD - Applies the SVD preconditioner to a vector.
124 
125    Input Parameters:
126 .  pc - the preconditioner context
127 .  x - input vector
128 
129    Output Parameter:
130 .  y - output vector
131 
132    Application Interface Routine: PCApply()
133  */
134 #undef __FUNCT__
135 #define __FUNCT__ "PCApply_SVD"
136 static PetscErrorCode PCApply_SVD(PC pc,Vec x,Vec y)
137 {
138   PC_SVD         *jac = (PC_SVD*)pc->data;
139   Vec            work = jac->work;
140   PetscErrorCode ierr;
141 
142   PetscFunctionBegin;
143   ierr = MatMultTranspose(jac->U,x,work);CHKERRQ(ierr);
144   ierr = VecPointwiseMult(work,work,jac->diag);CHKERRQ(ierr);
145   ierr = MatMultTranspose(jac->V,work,y);CHKERRQ(ierr);
146   PetscFunctionReturn(0);
147 }
148 
149 #undef __FUNCT__
150 #define __FUNCT__ "PCReset_SVD"
151 static PetscErrorCode PCReset_SVD(PC pc)
152 {
153   PC_SVD         *jac = (PC_SVD*)pc->data;
154   PetscErrorCode ierr;
155 
156   PetscFunctionBegin;
157   ierr = MatDestroy(&jac->A);CHKERRQ(ierr);
158   ierr = MatDestroy(&jac->U);CHKERRQ(ierr);
159   ierr = MatDestroy(&jac->V);CHKERRQ(ierr);
160   ierr = VecDestroy(&jac->diag);CHKERRQ(ierr);
161   ierr = VecDestroy(&jac->work);CHKERRQ(ierr);
162   PetscFunctionReturn(0);
163 }
164 
165 /* -------------------------------------------------------------------------- */
166 /*
167    PCDestroy_SVD - Destroys the private context for the SVD preconditioner
168    that was created with PCCreate_SVD().
169 
170    Input Parameter:
171 .  pc - the preconditioner context
172 
173    Application Interface Routine: PCDestroy()
174 */
175 #undef __FUNCT__
176 #define __FUNCT__ "PCDestroy_SVD"
177 static PetscErrorCode PCDestroy_SVD(PC pc)
178 {
179   PC_SVD         *jac = (PC_SVD*)pc->data;
180   PetscErrorCode ierr;
181 
182   PetscFunctionBegin;
183   ierr = PCReset_SVD(pc);CHKERRQ(ierr);
184   ierr = PetscViewerDestroy(&jac->monitor);CHKERRQ(ierr);
185   ierr = PetscFree(pc->data);CHKERRQ(ierr);
186   PetscFunctionReturn(0);
187 }
188 
189 #undef __FUNCT__
190 #define __FUNCT__ "PCSetFromOptions_SVD"
191 static PetscErrorCode PCSetFromOptions_SVD(PC pc)
192 {
193   PetscErrorCode ierr;
194   PC_SVD         *jac = (PC_SVD*)pc->data;
195   PetscBool      flg,set;
196 
197   PetscFunctionBegin;
198   ierr = PetscOptionsHead("SVD options");CHKERRQ(ierr);
199   ierr = PetscOptionsReal("-pc_svd_zero_sing","Singular values smaller than this treated as zero","None",jac->zerosing,&jac->zerosing,PETSC_NULL);CHKERRQ(ierr);
200   ierr = PetscOptionsBool("-pc_svd_monitor","Monitor the conditioning, and extremal singular values","None",jac->monitor?PETSC_TRUE:PETSC_FALSE,&flg,&set);CHKERRQ(ierr);
201   if (set) {                    /* Should make PCSVDSetMonitor() */
202     if (flg && !jac->monitor) {
203       ierr = PetscViewerASCIIOpen(((PetscObject)pc)->comm,"stdout",&jac->monitor);CHKERRQ(ierr);
204     } else if (!flg) {
205       ierr = PetscViewerDestroy(&jac->monitor);CHKERRQ(ierr);
206     }
207   }
208   ierr = PetscOptionsTail();CHKERRQ(ierr);
209   PetscFunctionReturn(0);
210 }
211 
212 /* -------------------------------------------------------------------------- */
213 /*
214    PCCreate_SVD - Creates a SVD preconditioner context, PC_SVD,
215    and sets this as the private data within the generic preconditioning
216    context, PC, that was created within PCCreate().
217 
218    Input Parameter:
219 .  pc - the preconditioner context
220 
221    Application Interface Routine: PCCreate()
222 */
223 
224 /*MC
225      PCSVD - Use pseudo inverse defined by SVD of operator
226 
227    Level: advanced
228 
229   Concepts: SVD
230 
231   Options Database:
232 -  -pc_svd_zero_sing <rtol> Singular values smaller than this are treated as zero
233 +  -pc_svd_monitor  Print information on the extreme singular values of the operator
234 
235 .seealso:  PCCreate(), PCSetType(), PCType (for list of available types), PC
236 M*/
237 
238 EXTERN_C_BEGIN
239 #undef __FUNCT__
240 #define __FUNCT__ "PCCreate_SVD"
241 PetscErrorCode PCCreate_SVD(PC pc)
242 {
243   PC_SVD         *jac;
244   PetscErrorCode ierr;
245 
246   PetscFunctionBegin;
247   /*
248      Creates the private data structure for this preconditioner and
249      attach it to the PC object.
250   */
251   ierr          = PetscNewLog(pc,PC_SVD,&jac);CHKERRQ(ierr);
252   jac->zerosing = 1.e-12;
253   pc->data      = (void*)jac;
254 
255   /*
256       Set the pointers for the functions that are provided above.
257       Now when the user-level routines (such as PCApply(), PCDestroy(), etc.)
258       are called, they will automatically call these functions.  Note we
259       choose not to provide a couple of these functions since they are
260       not needed.
261   */
262   pc->ops->apply               = PCApply_SVD;
263   pc->ops->applytranspose      = PCApply_SVD;
264   pc->ops->setup               = PCSetUp_SVD;
265   pc->ops->reset               = PCReset_SVD;
266   pc->ops->destroy             = PCDestroy_SVD;
267   pc->ops->setfromoptions      = PCSetFromOptions_SVD;
268   pc->ops->view                = 0;
269   pc->ops->applyrichardson     = 0;
270   PetscFunctionReturn(0);
271 }
272 EXTERN_C_END
273 
274