Line data Source code
1 : /*
2 : - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
3 : SLEPc - Scalable Library for Eigenvalue Problem Computations
4 : Copyright (c) 2002-, Universitat Politecnica de Valencia, Spain
5 :
6 : This file is part of SLEPc.
7 : SLEPc is distributed under a 2-clause BSD license (see LICENSE).
8 : - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
9 : */
10 : /*
11 : NEP routines related to options that can be set via the command-line
12 : or procedurally
13 : */
14 :
15 : #include <slepc/private/nepimpl.h> /*I "slepcnep.h" I*/
16 : #include <petscdraw.h>
17 :
18 : /*@C
19 : NEPMonitorSetFromOptions - Sets a monitor function and viewer appropriate for the type
20 : indicated by the user.
21 :
22 : Collective
23 :
24 : Input Parameters:
25 : + nep - the nonlinear eigensolver context
26 : . opt - the command line option for this monitor
27 : . name - the monitor type one is seeking
28 : . ctx - an optional user context for the monitor, or NULL
29 : - trackall - whether this monitor tracks all eigenvalues or not
30 :
31 : Level: developer
32 :
33 : .seealso: NEPMonitorSet(), NEPSetTrackAll()
34 : @*/
35 420 : PetscErrorCode NEPMonitorSetFromOptions(NEP nep,const char opt[],const char name[],void *ctx,PetscBool trackall)
36 : {
37 420 : PetscErrorCode (*mfunc)(NEP,PetscInt,PetscInt,PetscScalar*,PetscScalar*,PetscReal*,PetscInt,void*);
38 420 : PetscErrorCode (*cfunc)(PetscViewer,PetscViewerFormat,void*,PetscViewerAndFormat**);
39 420 : PetscErrorCode (*dfunc)(PetscViewerAndFormat**);
40 420 : PetscViewerAndFormat *vf;
41 420 : PetscViewer viewer;
42 420 : PetscViewerFormat format;
43 420 : PetscViewerType vtype;
44 420 : char key[PETSC_MAX_PATH_LEN];
45 420 : PetscBool flg;
46 :
47 420 : PetscFunctionBegin;
48 420 : PetscCall(PetscOptionsCreateViewer(PetscObjectComm((PetscObject)nep),((PetscObject)nep)->options,((PetscObject)nep)->prefix,opt,&viewer,&format,&flg));
49 420 : if (!flg) PetscFunctionReturn(PETSC_SUCCESS);
50 :
51 3 : PetscCall(PetscViewerGetType(viewer,&vtype));
52 3 : PetscCall(SlepcMonitorMakeKey_Internal(name,vtype,format,key));
53 3 : PetscCall(PetscFunctionListFind(NEPMonitorList,key,&mfunc));
54 3 : PetscCheck(mfunc,PetscObjectComm((PetscObject)nep),PETSC_ERR_SUP,"Specified viewer and format not supported");
55 3 : PetscCall(PetscFunctionListFind(NEPMonitorCreateList,key,&cfunc));
56 3 : PetscCall(PetscFunctionListFind(NEPMonitorDestroyList,key,&dfunc));
57 3 : if (!cfunc) cfunc = PetscViewerAndFormatCreate_Internal;
58 3 : if (!dfunc) dfunc = PetscViewerAndFormatDestroy;
59 :
60 3 : PetscCall((*cfunc)(viewer,format,ctx,&vf));
61 3 : PetscCall(PetscViewerDestroy(&viewer));
62 3 : PetscCall(NEPMonitorSet(nep,mfunc,vf,(PetscCtxDestroyFn*)dfunc));
63 3 : if (trackall) PetscCall(NEPSetTrackAll(nep,PETSC_TRUE));
64 3 : PetscFunctionReturn(PETSC_SUCCESS);
65 : }
66 :
67 : /*@
68 : NEPSetFromOptions - Sets NEP options from the options database.
69 : This routine must be called before NEPSetUp() if the user is to be
70 : allowed to set the solver type.
71 :
72 : Collective
73 :
74 : Input Parameters:
75 : . nep - the nonlinear eigensolver context
76 :
77 : Notes:
78 : To see all options, run your program with the -help option.
79 :
80 : Level: beginner
81 :
82 : .seealso: NEPSetOptionsPrefix()
83 : @*/
84 140 : PetscErrorCode NEPSetFromOptions(NEP nep)
85 : {
86 140 : char type[256];
87 140 : PetscBool set,flg,flg1,flg2,flg3,flg4,flg5,bval;
88 140 : PetscReal r;
89 140 : PetscScalar s;
90 140 : PetscInt i,j,k;
91 140 : NEPRefine refine;
92 140 : NEPRefineScheme scheme;
93 :
94 140 : PetscFunctionBegin;
95 140 : PetscValidHeaderSpecific(nep,NEP_CLASSID,1);
96 140 : PetscCall(NEPRegisterAll());
97 420 : PetscObjectOptionsBegin((PetscObject)nep);
98 195 : PetscCall(PetscOptionsFList("-nep_type","Nonlinear eigensolver method","NEPSetType",NEPList,(char*)(((PetscObject)nep)->type_name?((PetscObject)nep)->type_name:NEPRII),type,sizeof(type),&flg));
99 140 : if (flg) PetscCall(NEPSetType(nep,type));
100 36 : else if (!((PetscObject)nep)->type_name) PetscCall(NEPSetType(nep,NEPRII));
101 :
102 140 : PetscCall(PetscOptionsBoolGroupBegin("-nep_general","General nonlinear eigenvalue problem","NEPSetProblemType",&flg));
103 140 : if (flg) PetscCall(NEPSetProblemType(nep,NEP_GENERAL));
104 140 : PetscCall(PetscOptionsBoolGroupEnd("-nep_rational","Rational eigenvalue problem","NEPSetProblemType",&flg));
105 140 : if (flg) PetscCall(NEPSetProblemType(nep,NEP_RATIONAL));
106 :
107 140 : refine = nep->refine;
108 140 : PetscCall(PetscOptionsEnum("-nep_refine","Iterative refinement method","NEPSetRefine",NEPRefineTypes,(PetscEnum)refine,(PetscEnum*)&refine,&flg1));
109 140 : i = nep->npart;
110 140 : PetscCall(PetscOptionsInt("-nep_refine_partitions","Number of partitions of the communicator for iterative refinement","NEPSetRefine",nep->npart,&i,&flg2));
111 140 : r = nep->rtol;
112 141 : PetscCall(PetscOptionsReal("-nep_refine_tol","Tolerance for iterative refinement","NEPSetRefine",nep->rtol==(PetscReal)PETSC_DETERMINE?SLEPC_DEFAULT_TOL/1000:nep->rtol,&r,&flg3));
113 140 : j = nep->rits;
114 140 : PetscCall(PetscOptionsInt("-nep_refine_its","Maximum number of iterations for iterative refinement","NEPSetRefine",nep->rits,&j,&flg4));
115 140 : scheme = nep->scheme;
116 140 : PetscCall(PetscOptionsEnum("-nep_refine_scheme","Scheme used for linear systems within iterative refinement","NEPSetRefine",NEPRefineSchemes,(PetscEnum)scheme,(PetscEnum*)&scheme,&flg5));
117 140 : if (flg1 || flg2 || flg3 || flg4 || flg5) PetscCall(NEPSetRefine(nep,refine,i,r,j,scheme));
118 :
119 140 : i = nep->max_it;
120 140 : PetscCall(PetscOptionsInt("-nep_max_it","Maximum number of iterations","NEPSetTolerances",nep->max_it,&i,&flg1));
121 140 : r = nep->tol;
122 223 : PetscCall(PetscOptionsReal("-nep_tol","Tolerance","NEPSetTolerances",SlepcDefaultTol(nep->tol),&r,&flg2));
123 140 : if (flg1 || flg2) PetscCall(NEPSetTolerances(nep,r,i));
124 :
125 140 : PetscCall(PetscOptionsBoolGroupBegin("-nep_conv_rel","Relative error convergence test","NEPSetConvergenceTest",&flg));
126 140 : if (flg) PetscCall(NEPSetConvergenceTest(nep,NEP_CONV_REL));
127 140 : PetscCall(PetscOptionsBoolGroup("-nep_conv_norm","Convergence test relative to the matrix norms","NEPSetConvergenceTest",&flg));
128 140 : if (flg) PetscCall(NEPSetConvergenceTest(nep,NEP_CONV_NORM));
129 140 : PetscCall(PetscOptionsBoolGroup("-nep_conv_abs","Absolute error convergence test","NEPSetConvergenceTest",&flg));
130 140 : if (flg) PetscCall(NEPSetConvergenceTest(nep,NEP_CONV_ABS));
131 140 : PetscCall(PetscOptionsBoolGroupEnd("-nep_conv_user","User-defined convergence test","NEPSetConvergenceTest",&flg));
132 140 : if (flg) PetscCall(NEPSetConvergenceTest(nep,NEP_CONV_USER));
133 :
134 140 : PetscCall(PetscOptionsBoolGroupBegin("-nep_stop_basic","Stop iteration if all eigenvalues converged or max_it reached","NEPSetStoppingTest",&flg));
135 140 : if (flg) PetscCall(NEPSetStoppingTest(nep,NEP_STOP_BASIC));
136 140 : PetscCall(PetscOptionsBoolGroupEnd("-nep_stop_user","User-defined stopping test","NEPSetStoppingTest",&flg));
137 140 : if (flg) PetscCall(NEPSetStoppingTest(nep,NEP_STOP_USER));
138 :
139 140 : i = nep->nev;
140 140 : PetscCall(PetscOptionsInt("-nep_nev","Number of eigenvalues to compute","NEPSetDimensions",nep->nev,&i,&flg1));
141 140 : j = nep->ncv;
142 140 : PetscCall(PetscOptionsInt("-nep_ncv","Number of basis vectors","NEPSetDimensions",nep->ncv,&j,&flg2));
143 140 : k = nep->mpd;
144 140 : PetscCall(PetscOptionsInt("-nep_mpd","Maximum dimension of projected problem","NEPSetDimensions",nep->mpd,&k,&flg3));
145 140 : if (flg1 || flg2 || flg3) PetscCall(NEPSetDimensions(nep,i,j,k));
146 :
147 140 : PetscCall(PetscOptionsBoolGroupBegin("-nep_largest_magnitude","Compute largest eigenvalues in magnitude","NEPSetWhichEigenpairs",&flg));
148 140 : if (flg) PetscCall(NEPSetWhichEigenpairs(nep,NEP_LARGEST_MAGNITUDE));
149 140 : PetscCall(PetscOptionsBoolGroup("-nep_smallest_magnitude","Compute smallest eigenvalues in magnitude","NEPSetWhichEigenpairs",&flg));
150 140 : if (flg) PetscCall(NEPSetWhichEigenpairs(nep,NEP_SMALLEST_MAGNITUDE));
151 140 : PetscCall(PetscOptionsBoolGroup("-nep_largest_real","Compute eigenvalues with largest real parts","NEPSetWhichEigenpairs",&flg));
152 140 : if (flg) PetscCall(NEPSetWhichEigenpairs(nep,NEP_LARGEST_REAL));
153 140 : PetscCall(PetscOptionsBoolGroup("-nep_smallest_real","Compute eigenvalues with smallest real parts","NEPSetWhichEigenpairs",&flg));
154 140 : if (flg) PetscCall(NEPSetWhichEigenpairs(nep,NEP_SMALLEST_REAL));
155 140 : PetscCall(PetscOptionsBoolGroup("-nep_largest_imaginary","Compute eigenvalues with largest imaginary parts","NEPSetWhichEigenpairs",&flg));
156 140 : if (flg) PetscCall(NEPSetWhichEigenpairs(nep,NEP_LARGEST_IMAGINARY));
157 140 : PetscCall(PetscOptionsBoolGroup("-nep_smallest_imaginary","Compute eigenvalues with smallest imaginary parts","NEPSetWhichEigenpairs",&flg));
158 140 : if (flg) PetscCall(NEPSetWhichEigenpairs(nep,NEP_SMALLEST_IMAGINARY));
159 140 : PetscCall(PetscOptionsBoolGroup("-nep_target_magnitude","Compute eigenvalues closest to target","NEPSetWhichEigenpairs",&flg));
160 140 : if (flg) PetscCall(NEPSetWhichEigenpairs(nep,NEP_TARGET_MAGNITUDE));
161 140 : PetscCall(PetscOptionsBoolGroup("-nep_target_real","Compute eigenvalues with real parts closest to target","NEPSetWhichEigenpairs",&flg));
162 140 : if (flg) PetscCall(NEPSetWhichEigenpairs(nep,NEP_TARGET_REAL));
163 140 : PetscCall(PetscOptionsBoolGroup("-nep_target_imaginary","Compute eigenvalues with imaginary parts closest to target","NEPSetWhichEigenpairs",&flg));
164 140 : if (flg) PetscCall(NEPSetWhichEigenpairs(nep,NEP_TARGET_IMAGINARY));
165 140 : PetscCall(PetscOptionsBoolGroupEnd("-nep_all","Compute all eigenvalues in a region","NEPSetWhichEigenpairs",&flg));
166 140 : if (flg) PetscCall(NEPSetWhichEigenpairs(nep,NEP_ALL));
167 :
168 140 : PetscCall(PetscOptionsScalar("-nep_target","Value of the target","NEPSetTarget",nep->target,&s,&flg));
169 140 : if (flg) {
170 70 : if (nep->which!=NEP_TARGET_REAL && nep->which!=NEP_TARGET_IMAGINARY) PetscCall(NEPSetWhichEigenpairs(nep,NEP_TARGET_MAGNITUDE));
171 70 : PetscCall(NEPSetTarget(nep,s));
172 : }
173 :
174 140 : PetscCall(PetscOptionsBool("-nep_two_sided","Use two-sided variant (to compute left eigenvectors)","NEPSetTwoSided",nep->twosided,&bval,&flg));
175 140 : if (flg) PetscCall(NEPSetTwoSided(nep,bval));
176 :
177 : /* -----------------------------------------------------------------------*/
178 : /*
179 : Cancels all monitors hardwired into code before call to NEPSetFromOptions()
180 : */
181 140 : PetscCall(PetscOptionsBool("-nep_monitor_cancel","Remove any hardwired monitor routines","NEPMonitorCancel",PETSC_FALSE,&flg,&set));
182 140 : if (set && flg) PetscCall(NEPMonitorCancel(nep));
183 140 : PetscCall(NEPMonitorSetFromOptions(nep,"-nep_monitor","first_approximation",NULL,PETSC_FALSE));
184 140 : PetscCall(NEPMonitorSetFromOptions(nep,"-nep_monitor_all","all_approximations",NULL,PETSC_TRUE));
185 140 : PetscCall(NEPMonitorSetFromOptions(nep,"-nep_monitor_conv","convergence_history",NULL,PETSC_FALSE));
186 :
187 : /* -----------------------------------------------------------------------*/
188 140 : PetscCall(PetscOptionsName("-nep_view","Print detailed information on solver used","NEPView",&set));
189 140 : PetscCall(PetscOptionsName("-nep_view_vectors","View computed eigenvectors","NEPVectorsView",&set));
190 140 : PetscCall(PetscOptionsName("-nep_view_values","View computed eigenvalues","NEPValuesView",&set));
191 140 : PetscCall(PetscOptionsName("-nep_converged_reason","Print reason for convergence, and number of iterations","NEPConvergedReasonView",&set));
192 140 : PetscCall(PetscOptionsName("-nep_error_absolute","Print absolute errors of each eigenpair","NEPErrorView",&set));
193 140 : PetscCall(PetscOptionsName("-nep_error_relative","Print relative errors of each eigenpair","NEPErrorView",&set));
194 :
195 140 : PetscTryTypeMethod(nep,setfromoptions,PetscOptionsObject);
196 140 : PetscCall(PetscObjectProcessOptionsHandlers((PetscObject)nep,PetscOptionsObject));
197 140 : PetscOptionsEnd();
198 :
199 140 : if (!nep->V) PetscCall(NEPGetBV(nep,&nep->V));
200 140 : PetscCall(BVSetFromOptions(nep->V));
201 140 : if (!nep->rg) PetscCall(NEPGetRG(nep,&nep->rg));
202 140 : PetscCall(RGSetFromOptions(nep->rg));
203 140 : if (nep->useds) {
204 117 : if (!nep->ds) PetscCall(NEPGetDS(nep,&nep->ds));
205 117 : PetscCall(NEPSetDSType(nep));
206 117 : PetscCall(DSSetFromOptions(nep->ds));
207 : }
208 140 : if (!nep->refineksp) PetscCall(NEPRefineGetKSP(nep,&nep->refineksp));
209 140 : PetscCall(KSPSetFromOptions(nep->refineksp));
210 424 : if (nep->fui==NEP_USER_INTERFACE_SPLIT) for (i=0;i<nep->nt;i++) PetscCall(FNSetFromOptions(nep->f[i]));
211 140 : PetscFunctionReturn(PETSC_SUCCESS);
212 : }
213 :
214 : /*@
215 : NEPGetTolerances - Gets the tolerance and maximum iteration count used
216 : by the NEP convergence tests.
217 :
218 : Not Collective
219 :
220 : Input Parameter:
221 : . nep - the nonlinear eigensolver context
222 :
223 : Output Parameters:
224 : + tol - the convergence tolerance
225 : - maxits - maximum number of iterations
226 :
227 : Notes:
228 : The user can specify NULL for any parameter that is not needed.
229 :
230 : Level: intermediate
231 :
232 : .seealso: NEPSetTolerances()
233 : @*/
234 7 : PetscErrorCode NEPGetTolerances(NEP nep,PetscReal *tol,PetscInt *maxits)
235 : {
236 7 : PetscFunctionBegin;
237 7 : PetscValidHeaderSpecific(nep,NEP_CLASSID,1);
238 7 : if (tol) *tol = nep->tol;
239 7 : if (maxits) *maxits = nep->max_it;
240 7 : PetscFunctionReturn(PETSC_SUCCESS);
241 : }
242 :
243 : /*@
244 : NEPSetTolerances - Sets the tolerance and maximum iteration count used
245 : by the NEP convergence tests.
246 :
247 : Logically Collective
248 :
249 : Input Parameters:
250 : + nep - the nonlinear eigensolver context
251 : . tol - the convergence tolerance
252 : - maxits - maximum number of iterations to use
253 :
254 : Options Database Keys:
255 : + -nep_tol <tol> - Sets the convergence tolerance
256 : - -nep_max_it <maxits> - Sets the maximum number of iterations allowed
257 :
258 : Notes:
259 : Use PETSC_CURRENT to retain the current value of any of the parameters.
260 : Use PETSC_DETERMINE for either argument to assign a default value computed
261 : internally (may be different in each solver).
262 : For maxits use PETSC_UMLIMITED to indicate there is no upper bound on this value.
263 :
264 : Level: intermediate
265 :
266 : .seealso: NEPGetTolerances()
267 : @*/
268 73 : PetscErrorCode NEPSetTolerances(NEP nep,PetscReal tol,PetscInt maxits)
269 : {
270 73 : PetscFunctionBegin;
271 73 : PetscValidHeaderSpecific(nep,NEP_CLASSID,1);
272 219 : PetscValidLogicalCollectiveReal(nep,tol,2);
273 219 : PetscValidLogicalCollectiveInt(nep,maxits,3);
274 73 : if (tol == (PetscReal)PETSC_DETERMINE) {
275 0 : nep->tol = PETSC_DETERMINE;
276 0 : nep->state = NEP_STATE_INITIAL;
277 73 : } else if (tol != (PetscReal)PETSC_CURRENT) {
278 72 : PetscCheck(tol>0.0,PetscObjectComm((PetscObject)nep),PETSC_ERR_ARG_OUTOFRANGE,"Illegal value of tol. Must be > 0");
279 72 : nep->tol = tol;
280 : }
281 73 : if (maxits == PETSC_DETERMINE) {
282 15 : nep->max_it = PETSC_DETERMINE;
283 15 : nep->state = NEP_STATE_INITIAL;
284 58 : } else if (maxits == PETSC_UNLIMITED) {
285 0 : nep->max_it = PETSC_INT_MAX;
286 58 : } else if (maxits != PETSC_CURRENT) {
287 2 : PetscCheck(maxits>0,PetscObjectComm((PetscObject)nep),PETSC_ERR_ARG_OUTOFRANGE,"Illegal value of maxits. Must be > 0");
288 2 : nep->max_it = maxits;
289 : }
290 73 : PetscFunctionReturn(PETSC_SUCCESS);
291 : }
292 :
293 : /*@
294 : NEPGetDimensions - Gets the number of eigenvalues to compute
295 : and the dimension of the subspace.
296 :
297 : Not Collective
298 :
299 : Input Parameter:
300 : . nep - the nonlinear eigensolver context
301 :
302 : Output Parameters:
303 : + nev - number of eigenvalues to compute
304 : . ncv - the maximum dimension of the subspace to be used by the solver
305 : - mpd - the maximum dimension allowed for the projected problem
306 :
307 : Notes:
308 : The user can specify NULL for any parameter that is not needed.
309 :
310 : Level: intermediate
311 :
312 : .seealso: NEPSetDimensions()
313 : @*/
314 57 : PetscErrorCode NEPGetDimensions(NEP nep,PetscInt *nev,PetscInt *ncv,PetscInt *mpd)
315 : {
316 57 : PetscFunctionBegin;
317 57 : PetscValidHeaderSpecific(nep,NEP_CLASSID,1);
318 57 : if (nev) *nev = nep->nev;
319 57 : if (ncv) *ncv = nep->ncv;
320 57 : if (mpd) *mpd = nep->mpd;
321 57 : PetscFunctionReturn(PETSC_SUCCESS);
322 : }
323 :
324 : /*@
325 : NEPSetDimensions - Sets the number of eigenvalues to compute
326 : and the dimension of the subspace.
327 :
328 : Logically Collective
329 :
330 : Input Parameters:
331 : + nep - the nonlinear eigensolver context
332 : . nev - number of eigenvalues to compute
333 : . ncv - the maximum dimension of the subspace to be used by the solver
334 : - mpd - the maximum dimension allowed for the projected problem
335 :
336 : Options Database Keys:
337 : + -nep_nev <nev> - Sets the number of eigenvalues
338 : . -nep_ncv <ncv> - Sets the dimension of the subspace
339 : - -nep_mpd <mpd> - Sets the maximum projected dimension
340 :
341 : Notes:
342 : Use PETSC_DETERMINE for ncv and mpd to assign a reasonably good value, which is
343 : dependent on the solution method. For any of the arguments, use PETSC_CURRENT
344 : to preserve the current value.
345 :
346 : The parameters ncv and mpd are intimately related, so that the user is advised
347 : to set one of them at most. Normal usage is that
348 : (a) in cases where nev is small, the user sets ncv (a reasonable default is 2*nev); and
349 : (b) in cases where nev is large, the user sets mpd.
350 :
351 : The value of ncv should always be between nev and (nev+mpd), typically
352 : ncv=nev+mpd. If nev is not too large, mpd=nev is a reasonable choice, otherwise
353 : a smaller value should be used.
354 :
355 : Level: intermediate
356 :
357 : .seealso: NEPGetDimensions()
358 : @*/
359 104 : PetscErrorCode NEPSetDimensions(NEP nep,PetscInt nev,PetscInt ncv,PetscInt mpd)
360 : {
361 104 : PetscFunctionBegin;
362 104 : PetscValidHeaderSpecific(nep,NEP_CLASSID,1);
363 312 : PetscValidLogicalCollectiveInt(nep,nev,2);
364 312 : PetscValidLogicalCollectiveInt(nep,ncv,3);
365 312 : PetscValidLogicalCollectiveInt(nep,mpd,4);
366 104 : if (nev != PETSC_CURRENT) {
367 104 : PetscCheck(nev>0,PetscObjectComm((PetscObject)nep),PETSC_ERR_ARG_OUTOFRANGE,"Illegal value of nev. Must be > 0");
368 104 : nep->nev = nev;
369 : }
370 104 : if (ncv == PETSC_DETERMINE) {
371 82 : nep->ncv = PETSC_DETERMINE;
372 22 : } else if (ncv != PETSC_CURRENT) {
373 22 : PetscCheck(ncv>0,PetscObjectComm((PetscObject)nep),PETSC_ERR_ARG_OUTOFRANGE,"Illegal value of ncv. Must be > 0");
374 22 : nep->ncv = ncv;
375 : }
376 104 : if (mpd == PETSC_DETERMINE) {
377 102 : nep->mpd = PETSC_DETERMINE;
378 2 : } else if (mpd != PETSC_CURRENT) {
379 1 : PetscCheck(mpd>0,PetscObjectComm((PetscObject)nep),PETSC_ERR_ARG_OUTOFRANGE,"Illegal value of mpd. Must be > 0");
380 1 : nep->mpd = mpd;
381 : }
382 104 : nep->state = NEP_STATE_INITIAL;
383 104 : PetscFunctionReturn(PETSC_SUCCESS);
384 : }
385 :
386 : /*@
387 : NEPSetWhichEigenpairs - Specifies which portion of the spectrum is
388 : to be sought.
389 :
390 : Logically Collective
391 :
392 : Input Parameters:
393 : + nep - eigensolver context obtained from NEPCreate()
394 : - which - the portion of the spectrum to be sought
395 :
396 : Options Database Keys:
397 : + -nep_largest_magnitude - Sets largest eigenvalues in magnitude
398 : . -nep_smallest_magnitude - Sets smallest eigenvalues in magnitude
399 : . -nep_largest_real - Sets largest real parts
400 : . -nep_smallest_real - Sets smallest real parts
401 : . -nep_largest_imaginary - Sets largest imaginary parts
402 : . -nep_smallest_imaginary - Sets smallest imaginary parts
403 : . -nep_target_magnitude - Sets eigenvalues closest to target
404 : . -nep_target_real - Sets real parts closest to target
405 : . -nep_target_imaginary - Sets imaginary parts closest to target
406 : - -nep_all - Sets all eigenvalues in a region
407 :
408 : Notes:
409 : The parameter 'which' can have one of these values
410 :
411 : + NEP_LARGEST_MAGNITUDE - largest eigenvalues in magnitude (default)
412 : . NEP_SMALLEST_MAGNITUDE - smallest eigenvalues in magnitude
413 : . NEP_LARGEST_REAL - largest real parts
414 : . NEP_SMALLEST_REAL - smallest real parts
415 : . NEP_LARGEST_IMAGINARY - largest imaginary parts
416 : . NEP_SMALLEST_IMAGINARY - smallest imaginary parts
417 : . NEP_TARGET_MAGNITUDE - eigenvalues closest to the target (in magnitude)
418 : . NEP_TARGET_REAL - eigenvalues with real part closest to target
419 : . NEP_TARGET_IMAGINARY - eigenvalues with imaginary part closest to target
420 : . NEP_ALL - all eigenvalues contained in a given region
421 : - NEP_WHICH_USER - user defined ordering set with NEPSetEigenvalueComparison()
422 :
423 : Not all eigensolvers implemented in NEP account for all the possible values
424 : stated above. If SLEPc is compiled for real numbers NEP_LARGEST_IMAGINARY
425 : and NEP_SMALLEST_IMAGINARY use the absolute value of the imaginary part
426 : for eigenvalue selection.
427 :
428 : The target is a scalar value provided with NEPSetTarget().
429 :
430 : NEP_ALL is intended for use in the context of the CISS solver for
431 : computing all eigenvalues in a region.
432 :
433 : Level: intermediate
434 :
435 : .seealso: NEPGetWhichEigenpairs(), NEPSetTarget(), NEPSetEigenvalueComparison(), NEPWhich
436 : @*/
437 75 : PetscErrorCode NEPSetWhichEigenpairs(NEP nep,NEPWhich which)
438 : {
439 75 : PetscFunctionBegin;
440 75 : PetscValidHeaderSpecific(nep,NEP_CLASSID,1);
441 225 : PetscValidLogicalCollectiveEnum(nep,which,2);
442 75 : switch (which) {
443 75 : case NEP_LARGEST_MAGNITUDE:
444 : case NEP_SMALLEST_MAGNITUDE:
445 : case NEP_LARGEST_REAL:
446 : case NEP_SMALLEST_REAL:
447 : case NEP_LARGEST_IMAGINARY:
448 : case NEP_SMALLEST_IMAGINARY:
449 : case NEP_TARGET_MAGNITUDE:
450 : case NEP_TARGET_REAL:
451 : #if defined(PETSC_USE_COMPLEX)
452 : case NEP_TARGET_IMAGINARY:
453 : #endif
454 : case NEP_ALL:
455 : case NEP_WHICH_USER:
456 75 : if (nep->which != which) {
457 73 : nep->state = NEP_STATE_INITIAL;
458 73 : nep->which = which;
459 : }
460 75 : break;
461 : #if !defined(PETSC_USE_COMPLEX)
462 : case NEP_TARGET_IMAGINARY:
463 : SETERRQ(PetscObjectComm((PetscObject)nep),PETSC_ERR_SUP,"NEP_TARGET_IMAGINARY can be used only with complex scalars");
464 : #endif
465 0 : default:
466 0 : SETERRQ(PetscObjectComm((PetscObject)nep),PETSC_ERR_ARG_OUTOFRANGE,"Invalid 'which' value");
467 : }
468 75 : PetscFunctionReturn(PETSC_SUCCESS);
469 : }
470 :
471 : /*@
472 : NEPGetWhichEigenpairs - Returns which portion of the spectrum is to be
473 : sought.
474 :
475 : Not Collective
476 :
477 : Input Parameter:
478 : . nep - eigensolver context obtained from NEPCreate()
479 :
480 : Output Parameter:
481 : . which - the portion of the spectrum to be sought
482 :
483 : Notes:
484 : See NEPSetWhichEigenpairs() for possible values of 'which'.
485 :
486 : Level: intermediate
487 :
488 : .seealso: NEPSetWhichEigenpairs(), NEPWhich
489 : @*/
490 1 : PetscErrorCode NEPGetWhichEigenpairs(NEP nep,NEPWhich *which)
491 : {
492 1 : PetscFunctionBegin;
493 1 : PetscValidHeaderSpecific(nep,NEP_CLASSID,1);
494 1 : PetscAssertPointer(which,2);
495 1 : *which = nep->which;
496 1 : PetscFunctionReturn(PETSC_SUCCESS);
497 : }
498 :
499 : /*@C
500 : NEPSetEigenvalueComparison - Specifies the eigenvalue comparison function
501 : when NEPSetWhichEigenpairs() is set to NEP_WHICH_USER.
502 :
503 : Logically Collective
504 :
505 : Input Parameters:
506 : + nep - eigensolver context obtained from NEPCreate()
507 : . comp - a pointer to the comparison function
508 : - ctx - a context pointer (the last parameter to the comparison function)
509 :
510 : Calling sequence of comp:
511 : $ PetscErrorCode comp(PetscScalar ar,PetscScalar ai,PetscScalar br,PetscScalar bi,PetscInt *res,void *ctx)
512 : + ar - real part of the 1st eigenvalue
513 : . ai - imaginary part of the 1st eigenvalue
514 : . br - real part of the 2nd eigenvalue
515 : . bi - imaginary part of the 2nd eigenvalue
516 : . res - result of comparison
517 : - ctx - optional context, as set by NEPSetEigenvalueComparison()
518 :
519 : Note:
520 : The returning parameter 'res' can be
521 : + negative - if the 1st eigenvalue is preferred to the 2st one
522 : . zero - if both eigenvalues are equally preferred
523 : - positive - if the 2st eigenvalue is preferred to the 1st one
524 :
525 : Level: advanced
526 :
527 : .seealso: NEPSetWhichEigenpairs(), NEPWhich
528 : @*/
529 0 : PetscErrorCode NEPSetEigenvalueComparison(NEP nep,PetscErrorCode (*comp)(PetscScalar ar,PetscScalar ai,PetscScalar br,PetscScalar bi,PetscInt *res,void *ctx),void* ctx)
530 : {
531 0 : PetscFunctionBegin;
532 0 : PetscValidHeaderSpecific(nep,NEP_CLASSID,1);
533 0 : nep->sc->comparison = comp;
534 0 : nep->sc->comparisonctx = ctx;
535 0 : nep->which = NEP_WHICH_USER;
536 0 : PetscFunctionReturn(PETSC_SUCCESS);
537 : }
538 :
539 : /*@
540 : NEPSetProblemType - Specifies the type of the nonlinear eigenvalue problem.
541 :
542 : Logically Collective
543 :
544 : Input Parameters:
545 : + nep - the nonlinear eigensolver context
546 : - type - a known type of nonlinear eigenvalue problem
547 :
548 : Options Database Keys:
549 : + -nep_general - general problem with no particular structure
550 : - -nep_rational - a rational eigenvalue problem defined in split form with all f_i rational
551 :
552 : Notes:
553 : Allowed values for the problem type are general (NEP_GENERAL), and rational
554 : (NEP_RATIONAL).
555 :
556 : This function is used to provide a hint to the NEP solver to exploit certain
557 : properties of the nonlinear eigenproblem. This hint may be used or not,
558 : depending on the solver. By default, no particular structure is assumed.
559 :
560 : Level: intermediate
561 :
562 : .seealso: NEPSetType(), NEPGetProblemType(), NEPProblemType
563 : @*/
564 141 : PetscErrorCode NEPSetProblemType(NEP nep,NEPProblemType type)
565 : {
566 141 : PetscFunctionBegin;
567 141 : PetscValidHeaderSpecific(nep,NEP_CLASSID,1);
568 423 : PetscValidLogicalCollectiveEnum(nep,type,2);
569 141 : PetscCheck(type==NEP_GENERAL || type==NEP_RATIONAL,PetscObjectComm((PetscObject)nep),PETSC_ERR_ARG_WRONG,"Unknown eigenvalue problem type");
570 141 : if (type != nep->problem_type) {
571 141 : nep->problem_type = type;
572 141 : nep->state = NEP_STATE_INITIAL;
573 : }
574 141 : PetscFunctionReturn(PETSC_SUCCESS);
575 : }
576 :
577 : /*@
578 : NEPGetProblemType - Gets the problem type from the NEP object.
579 :
580 : Not Collective
581 :
582 : Input Parameter:
583 : . nep - the nonlinear eigensolver context
584 :
585 : Output Parameter:
586 : . type - the problem type
587 :
588 : Level: intermediate
589 :
590 : .seealso: NEPSetProblemType(), NEPProblemType
591 : @*/
592 2 : PetscErrorCode NEPGetProblemType(NEP nep,NEPProblemType *type)
593 : {
594 2 : PetscFunctionBegin;
595 2 : PetscValidHeaderSpecific(nep,NEP_CLASSID,1);
596 2 : PetscAssertPointer(type,2);
597 2 : *type = nep->problem_type;
598 2 : PetscFunctionReturn(PETSC_SUCCESS);
599 : }
600 :
601 : /*@
602 : NEPSetTwoSided - Sets the solver to use a two-sided variant so that left
603 : eigenvectors are also computed.
604 :
605 : Logically Collective
606 :
607 : Input Parameters:
608 : + nep - the eigensolver context
609 : - twosided - whether the two-sided variant is to be used or not
610 :
611 : Options Database Keys:
612 : . -nep_two_sided <boolean> - Sets/resets the twosided flag
613 :
614 : Notes:
615 : If the user sets twosided=PETSC_TRUE then the solver uses a variant of
616 : the algorithm that computes both right and left eigenvectors. This is
617 : usually much more costly. This option is not available in all solvers.
618 :
619 : When using two-sided solvers, the problem matrices must have both the
620 : MatMult and MatMultTranspose operations defined.
621 :
622 : Level: advanced
623 :
624 : .seealso: NEPGetTwoSided(), NEPGetLeftEigenvector()
625 : @*/
626 10 : PetscErrorCode NEPSetTwoSided(NEP nep,PetscBool twosided)
627 : {
628 10 : PetscFunctionBegin;
629 10 : PetscValidHeaderSpecific(nep,NEP_CLASSID,1);
630 30 : PetscValidLogicalCollectiveBool(nep,twosided,2);
631 10 : if (twosided!=nep->twosided) {
632 7 : nep->twosided = twosided;
633 7 : nep->state = NEP_STATE_INITIAL;
634 : }
635 10 : PetscFunctionReturn(PETSC_SUCCESS);
636 : }
637 :
638 : /*@
639 : NEPGetTwoSided - Returns the flag indicating whether a two-sided variant
640 : of the algorithm is being used or not.
641 :
642 : Not Collective
643 :
644 : Input Parameter:
645 : . nep - the eigensolver context
646 :
647 : Output Parameter:
648 : . twosided - the returned flag
649 :
650 : Level: advanced
651 :
652 : .seealso: NEPSetTwoSided()
653 : @*/
654 3 : PetscErrorCode NEPGetTwoSided(NEP nep,PetscBool *twosided)
655 : {
656 3 : PetscFunctionBegin;
657 3 : PetscValidHeaderSpecific(nep,NEP_CLASSID,1);
658 3 : PetscAssertPointer(twosided,2);
659 3 : *twosided = nep->twosided;
660 3 : PetscFunctionReturn(PETSC_SUCCESS);
661 : }
662 :
663 : /*@C
664 : NEPSetConvergenceTestFunction - Sets a function to compute the error estimate
665 : used in the convergence test.
666 :
667 : Logically Collective
668 :
669 : Input Parameters:
670 : + nep - nonlinear eigensolver context obtained from NEPCreate()
671 : . conv - convergence test function, see NEPConvergenceTestFn for the calling sequence
672 : . ctx - context for private data for the convergence routine (may be NULL)
673 : - destroy - a routine for destroying the context (may be NULL), see PetscCtxDestroyFn for the calling sequence
674 :
675 : Note:
676 : If the error estimate returned by the convergence test function is less than
677 : the tolerance, then the eigenvalue is accepted as converged.
678 :
679 : Level: advanced
680 :
681 : .seealso: NEPSetConvergenceTest(), NEPSetTolerances()
682 : @*/
683 1 : PetscErrorCode NEPSetConvergenceTestFunction(NEP nep,NEPConvergenceTestFn *conv,void* ctx,PetscCtxDestroyFn *destroy)
684 : {
685 1 : PetscFunctionBegin;
686 1 : PetscValidHeaderSpecific(nep,NEP_CLASSID,1);
687 1 : if (nep->convergeddestroy) PetscCall((*nep->convergeddestroy)(&nep->convergedctx));
688 1 : nep->convergeduser = conv;
689 1 : nep->convergeddestroy = destroy;
690 1 : nep->convergedctx = ctx;
691 1 : if (conv == NEPConvergedRelative) nep->conv = NEP_CONV_REL;
692 1 : else if (conv == NEPConvergedNorm) nep->conv = NEP_CONV_NORM;
693 1 : else if (conv == NEPConvergedAbsolute) nep->conv = NEP_CONV_ABS;
694 : else {
695 1 : nep->conv = NEP_CONV_USER;
696 1 : nep->converged = nep->convergeduser;
697 : }
698 1 : PetscFunctionReturn(PETSC_SUCCESS);
699 : }
700 :
701 : /*@
702 : NEPSetConvergenceTest - Specifies how to compute the error estimate
703 : used in the convergence test.
704 :
705 : Logically Collective
706 :
707 : Input Parameters:
708 : + nep - nonlinear eigensolver context obtained from NEPCreate()
709 : - conv - the type of convergence test
710 :
711 : Options Database Keys:
712 : + -nep_conv_abs - Sets the absolute convergence test
713 : . -nep_conv_rel - Sets the convergence test relative to the eigenvalue
714 : - -nep_conv_user - Selects the user-defined convergence test
715 :
716 : Note:
717 : The parameter 'conv' can have one of these values
718 : + NEP_CONV_ABS - absolute error ||r||
719 : . NEP_CONV_REL - error relative to the eigenvalue l, ||r||/|l|
720 : . NEP_CONV_NORM - error relative matrix norms, ||r||/sum_i(|f_i(l)|*||A_i||)
721 : - NEP_CONV_USER - function set by NEPSetConvergenceTestFunction()
722 :
723 : Level: intermediate
724 :
725 : .seealso: NEPGetConvergenceTest(), NEPSetConvergenceTestFunction(), NEPSetStoppingTest(), NEPConv
726 : @*/
727 2 : PetscErrorCode NEPSetConvergenceTest(NEP nep,NEPConv conv)
728 : {
729 2 : PetscFunctionBegin;
730 2 : PetscValidHeaderSpecific(nep,NEP_CLASSID,1);
731 6 : PetscValidLogicalCollectiveEnum(nep,conv,2);
732 2 : switch (conv) {
733 1 : case NEP_CONV_ABS: nep->converged = NEPConvergedAbsolute; break;
734 0 : case NEP_CONV_REL: nep->converged = NEPConvergedRelative; break;
735 1 : case NEP_CONV_NORM: nep->converged = NEPConvergedNorm; break;
736 0 : case NEP_CONV_USER:
737 0 : PetscCheck(nep->convergeduser,PetscObjectComm((PetscObject)nep),PETSC_ERR_ORDER,"Must call NEPSetConvergenceTestFunction() first");
738 0 : nep->converged = nep->convergeduser;
739 0 : break;
740 0 : default:
741 0 : SETERRQ(PetscObjectComm((PetscObject)nep),PETSC_ERR_ARG_OUTOFRANGE,"Invalid 'conv' value");
742 : }
743 2 : nep->conv = conv;
744 2 : PetscFunctionReturn(PETSC_SUCCESS);
745 : }
746 :
747 : /*@
748 : NEPGetConvergenceTest - Gets the method used to compute the error estimate
749 : used in the convergence test.
750 :
751 : Not Collective
752 :
753 : Input Parameters:
754 : . nep - nonlinear eigensolver context obtained from NEPCreate()
755 :
756 : Output Parameters:
757 : . conv - the type of convergence test
758 :
759 : Level: intermediate
760 :
761 : .seealso: NEPSetConvergenceTest(), NEPConv
762 : @*/
763 1 : PetscErrorCode NEPGetConvergenceTest(NEP nep,NEPConv *conv)
764 : {
765 1 : PetscFunctionBegin;
766 1 : PetscValidHeaderSpecific(nep,NEP_CLASSID,1);
767 1 : PetscAssertPointer(conv,2);
768 1 : *conv = nep->conv;
769 1 : PetscFunctionReturn(PETSC_SUCCESS);
770 : }
771 :
772 : /*@C
773 : NEPSetStoppingTestFunction - Sets a function to decide when to stop the outer
774 : iteration of the eigensolver.
775 :
776 : Logically Collective
777 :
778 : Input Parameters:
779 : + nep - nonlinear eigensolver context obtained from NEPCreate()
780 : . stop - the stopping test function, see NEPStoppingTestFn for the calling sequence
781 : . ctx - context for private data for the stopping routine (may be NULL)
782 : - destroy - a routine for destroying the context (may be NULL), see PetscCtxDestroyFn for the calling sequence
783 :
784 : Note:
785 : Normal usage is to first call the default routine NEPStoppingBasic() and then
786 : set reason to NEP_CONVERGED_USER if some user-defined conditions have been
787 : met. To let the eigensolver continue iterating, the result must be left as
788 : NEP_CONVERGED_ITERATING.
789 :
790 : Level: advanced
791 :
792 : .seealso: NEPSetStoppingTest(), NEPStoppingBasic()
793 : @*/
794 1 : PetscErrorCode NEPSetStoppingTestFunction(NEP nep,NEPStoppingTestFn *stop,void* ctx,PetscCtxDestroyFn *destroy)
795 : {
796 1 : PetscFunctionBegin;
797 1 : PetscValidHeaderSpecific(nep,NEP_CLASSID,1);
798 1 : if (nep->stoppingdestroy) PetscCall((*nep->stoppingdestroy)(&nep->stoppingctx));
799 1 : nep->stoppinguser = stop;
800 1 : nep->stoppingdestroy = destroy;
801 1 : nep->stoppingctx = ctx;
802 1 : if (stop == NEPStoppingBasic) nep->stop = NEP_STOP_BASIC;
803 : else {
804 1 : nep->stop = NEP_STOP_USER;
805 1 : nep->stopping = nep->stoppinguser;
806 : }
807 1 : PetscFunctionReturn(PETSC_SUCCESS);
808 : }
809 :
810 : /*@
811 : NEPSetStoppingTest - Specifies how to decide the termination of the outer
812 : loop of the eigensolver.
813 :
814 : Logically Collective
815 :
816 : Input Parameters:
817 : + nep - nonlinear eigensolver context obtained from NEPCreate()
818 : - stop - the type of stopping test
819 :
820 : Options Database Keys:
821 : + -nep_stop_basic - Sets the default stopping test
822 : - -nep_stop_user - Selects the user-defined stopping test
823 :
824 : Note:
825 : The parameter 'stop' can have one of these values
826 : + NEP_STOP_BASIC - default stopping test
827 : - NEP_STOP_USER - function set by NEPSetStoppingTestFunction()
828 :
829 : Level: advanced
830 :
831 : .seealso: NEPGetStoppingTest(), NEPSetStoppingTestFunction(), NEPSetConvergenceTest(), NEPStop
832 : @*/
833 1 : PetscErrorCode NEPSetStoppingTest(NEP nep,NEPStop stop)
834 : {
835 1 : PetscFunctionBegin;
836 1 : PetscValidHeaderSpecific(nep,NEP_CLASSID,1);
837 3 : PetscValidLogicalCollectiveEnum(nep,stop,2);
838 1 : switch (stop) {
839 1 : case NEP_STOP_BASIC: nep->stopping = NEPStoppingBasic; break;
840 0 : case NEP_STOP_USER:
841 0 : PetscCheck(nep->stoppinguser,PetscObjectComm((PetscObject)nep),PETSC_ERR_ORDER,"Must call NEPSetStoppingTestFunction() first");
842 0 : nep->stopping = nep->stoppinguser;
843 0 : break;
844 0 : default:
845 0 : SETERRQ(PetscObjectComm((PetscObject)nep),PETSC_ERR_ARG_OUTOFRANGE,"Invalid 'stop' value");
846 : }
847 1 : nep->stop = stop;
848 1 : PetscFunctionReturn(PETSC_SUCCESS);
849 : }
850 :
851 : /*@
852 : NEPGetStoppingTest - Gets the method used to decide the termination of the outer
853 : loop of the eigensolver.
854 :
855 : Not Collective
856 :
857 : Input Parameters:
858 : . nep - nonlinear eigensolver context obtained from NEPCreate()
859 :
860 : Output Parameters:
861 : . stop - the type of stopping test
862 :
863 : Level: advanced
864 :
865 : .seealso: NEPSetStoppingTest(), NEPStop
866 : @*/
867 1 : PetscErrorCode NEPGetStoppingTest(NEP nep,NEPStop *stop)
868 : {
869 1 : PetscFunctionBegin;
870 1 : PetscValidHeaderSpecific(nep,NEP_CLASSID,1);
871 1 : PetscAssertPointer(stop,2);
872 1 : *stop = nep->stop;
873 1 : PetscFunctionReturn(PETSC_SUCCESS);
874 : }
875 :
876 : /*@
877 : NEPSetTrackAll - Specifies if the solver must compute the residual of all
878 : approximate eigenpairs or not.
879 :
880 : Logically Collective
881 :
882 : Input Parameters:
883 : + nep - the eigensolver context
884 : - trackall - whether compute all residuals or not
885 :
886 : Notes:
887 : If the user sets trackall=PETSC_TRUE then the solver explicitly computes
888 : the residual for each eigenpair approximation. Computing the residual is
889 : usually an expensive operation and solvers commonly compute the associated
890 : residual to the first unconverged eigenpair.
891 :
892 : The option '-nep_monitor_all' automatically activates this option.
893 :
894 : Level: developer
895 :
896 : .seealso: NEPGetTrackAll()
897 : @*/
898 1 : PetscErrorCode NEPSetTrackAll(NEP nep,PetscBool trackall)
899 : {
900 1 : PetscFunctionBegin;
901 1 : PetscValidHeaderSpecific(nep,NEP_CLASSID,1);
902 3 : PetscValidLogicalCollectiveBool(nep,trackall,2);
903 1 : nep->trackall = trackall;
904 1 : PetscFunctionReturn(PETSC_SUCCESS);
905 : }
906 :
907 : /*@
908 : NEPGetTrackAll - Returns the flag indicating whether all residual norms must
909 : be computed or not.
910 :
911 : Not Collective
912 :
913 : Input Parameter:
914 : . nep - the eigensolver context
915 :
916 : Output Parameter:
917 : . trackall - the returned flag
918 :
919 : Level: developer
920 :
921 : .seealso: NEPSetTrackAll()
922 : @*/
923 26 : PetscErrorCode NEPGetTrackAll(NEP nep,PetscBool *trackall)
924 : {
925 26 : PetscFunctionBegin;
926 26 : PetscValidHeaderSpecific(nep,NEP_CLASSID,1);
927 26 : PetscAssertPointer(trackall,2);
928 26 : *trackall = nep->trackall;
929 26 : PetscFunctionReturn(PETSC_SUCCESS);
930 : }
931 :
932 : /*@
933 : NEPSetRefine - Specifies the refinement type (and options) to be used
934 : after the solve.
935 :
936 : Logically Collective
937 :
938 : Input Parameters:
939 : + nep - the nonlinear eigensolver context
940 : . refine - refinement type
941 : . npart - number of partitions of the communicator
942 : . tol - the convergence tolerance
943 : . its - maximum number of refinement iterations
944 : - scheme - which scheme to be used for solving the involved linear systems
945 :
946 : Options Database Keys:
947 : + -nep_refine <type> - refinement type, one of <none,simple,multiple>
948 : . -nep_refine_partitions <n> - the number of partitions
949 : . -nep_refine_tol <tol> - the tolerance
950 : . -nep_refine_its <its> - number of iterations
951 : - -nep_refine_scheme - to set the scheme for the linear solves
952 :
953 : Notes:
954 : By default, iterative refinement is disabled, since it may be very
955 : costly. There are two possible refinement strategies, simple and multiple.
956 : The simple approach performs iterative refinement on each of the
957 : converged eigenpairs individually, whereas the multiple strategy works
958 : with the invariant pair as a whole, refining all eigenpairs simultaneously.
959 : The latter may be required for the case of multiple eigenvalues.
960 :
961 : In some cases, especially when using direct solvers within the
962 : iterative refinement method, it may be helpful for improved scalability
963 : to split the communicator in several partitions. The npart parameter
964 : indicates how many partitions to use (defaults to 1).
965 :
966 : The tol and its parameters specify the stopping criterion. In the simple
967 : method, refinement continues until the residual of each eigenpair is
968 : below the tolerance (tol defaults to the NEP tol, but may be set to a
969 : different value). In contrast, the multiple method simply performs its
970 : refinement iterations (just one by default).
971 :
972 : The scheme argument is used to change the way in which linear systems are
973 : solved. Possible choices are explicit, mixed block elimination (MBE),
974 : and Schur complement.
975 :
976 : Use PETSC_CURRENT to retain the current value of npart, tol or its. Use
977 : PETSC_DETERMINE to assign a default value.
978 :
979 : Level: intermediate
980 :
981 : .seealso: NEPGetRefine()
982 : @*/
983 13 : PetscErrorCode NEPSetRefine(NEP nep,NEPRefine refine,PetscInt npart,PetscReal tol,PetscInt its,NEPRefineScheme scheme)
984 : {
985 13 : PetscMPIInt size;
986 :
987 13 : PetscFunctionBegin;
988 13 : PetscValidHeaderSpecific(nep,NEP_CLASSID,1);
989 39 : PetscValidLogicalCollectiveEnum(nep,refine,2);
990 39 : PetscValidLogicalCollectiveInt(nep,npart,3);
991 39 : PetscValidLogicalCollectiveReal(nep,tol,4);
992 39 : PetscValidLogicalCollectiveInt(nep,its,5);
993 39 : PetscValidLogicalCollectiveEnum(nep,scheme,6);
994 13 : nep->refine = refine;
995 13 : if (refine) { /* process parameters only if not REFINE_NONE */
996 13 : if (npart!=nep->npart) {
997 8 : PetscCall(PetscSubcommDestroy(&nep->refinesubc));
998 8 : PetscCall(KSPDestroy(&nep->refineksp));
999 : }
1000 13 : if (npart == PETSC_DETERMINE) {
1001 0 : nep->npart = 1;
1002 13 : } else if (npart != PETSC_CURRENT) {
1003 13 : PetscCallMPI(MPI_Comm_size(PetscObjectComm((PetscObject)nep),&size));
1004 13 : PetscCheck(npart>0 && npart<=size,PetscObjectComm((PetscObject)nep),PETSC_ERR_ARG_OUTOFRANGE,"Illegal value of npart");
1005 13 : nep->npart = npart;
1006 : }
1007 13 : if (tol == (PetscReal)PETSC_DETERMINE) {
1008 12 : nep->rtol = PETSC_DETERMINE;
1009 1 : } else if (tol != (PetscReal)PETSC_CURRENT) {
1010 1 : PetscCheck(tol>0.0,PetscObjectComm((PetscObject)nep),PETSC_ERR_ARG_OUTOFRANGE,"Illegal value of tol. Must be > 0");
1011 1 : nep->rtol = tol;
1012 : }
1013 13 : if (its==PETSC_DETERMINE) {
1014 11 : nep->rits = PETSC_DETERMINE;
1015 2 : } else if (its != PETSC_CURRENT) {
1016 2 : PetscCheck(its>=0,PetscObjectComm((PetscObject)nep),PETSC_ERR_ARG_OUTOFRANGE,"Illegal value of its. Must be >= 0");
1017 2 : nep->rits = its;
1018 : }
1019 13 : nep->scheme = scheme;
1020 : }
1021 13 : nep->state = NEP_STATE_INITIAL;
1022 13 : PetscFunctionReturn(PETSC_SUCCESS);
1023 : }
1024 :
1025 : /*@
1026 : NEPGetRefine - Gets the refinement strategy used by the NEP object, and the
1027 : associated parameters.
1028 :
1029 : Not Collective
1030 :
1031 : Input Parameter:
1032 : . nep - the nonlinear eigensolver context
1033 :
1034 : Output Parameters:
1035 : + refine - refinement type
1036 : . npart - number of partitions of the communicator
1037 : . tol - the convergence tolerance
1038 : . its - maximum number of refinement iterations
1039 : - scheme - the scheme used for solving linear systems
1040 :
1041 : Level: intermediate
1042 :
1043 : Note:
1044 : The user can specify NULL for any parameter that is not needed.
1045 :
1046 : .seealso: NEPSetRefine()
1047 : @*/
1048 1 : PetscErrorCode NEPGetRefine(NEP nep,NEPRefine *refine,PetscInt *npart,PetscReal *tol,PetscInt *its,NEPRefineScheme *scheme)
1049 : {
1050 1 : PetscFunctionBegin;
1051 1 : PetscValidHeaderSpecific(nep,NEP_CLASSID,1);
1052 1 : if (refine) *refine = nep->refine;
1053 1 : if (npart) *npart = nep->npart;
1054 1 : if (tol) *tol = nep->rtol;
1055 1 : if (its) *its = nep->rits;
1056 1 : if (scheme) *scheme = nep->scheme;
1057 1 : PetscFunctionReturn(PETSC_SUCCESS);
1058 : }
1059 :
1060 : /*@
1061 : NEPSetOptionsPrefix - Sets the prefix used for searching for all
1062 : NEP options in the database.
1063 :
1064 : Logically Collective
1065 :
1066 : Input Parameters:
1067 : + nep - the nonlinear eigensolver context
1068 : - prefix - the prefix string to prepend to all NEP option requests
1069 :
1070 : Notes:
1071 : A hyphen (-) must NOT be given at the beginning of the prefix name.
1072 : The first character of all runtime options is AUTOMATICALLY the
1073 : hyphen.
1074 :
1075 : For example, to distinguish between the runtime options for two
1076 : different NEP contexts, one could call
1077 : .vb
1078 : NEPSetOptionsPrefix(nep1,"neig1_")
1079 : NEPSetOptionsPrefix(nep2,"neig2_")
1080 : .ve
1081 :
1082 : Level: advanced
1083 :
1084 : .seealso: NEPAppendOptionsPrefix(), NEPGetOptionsPrefix()
1085 : @*/
1086 1 : PetscErrorCode NEPSetOptionsPrefix(NEP nep,const char *prefix)
1087 : {
1088 1 : PetscFunctionBegin;
1089 1 : PetscValidHeaderSpecific(nep,NEP_CLASSID,1);
1090 1 : if (!nep->V) PetscCall(NEPGetBV(nep,&nep->V));
1091 1 : PetscCall(BVSetOptionsPrefix(nep->V,prefix));
1092 1 : if (!nep->ds) PetscCall(NEPGetDS(nep,&nep->ds));
1093 1 : PetscCall(DSSetOptionsPrefix(nep->ds,prefix));
1094 1 : if (!nep->rg) PetscCall(NEPGetRG(nep,&nep->rg));
1095 1 : PetscCall(RGSetOptionsPrefix(nep->rg,prefix));
1096 1 : PetscCall(PetscObjectSetOptionsPrefix((PetscObject)nep,prefix));
1097 1 : PetscFunctionReturn(PETSC_SUCCESS);
1098 : }
1099 :
1100 : /*@
1101 : NEPAppendOptionsPrefix - Appends to the prefix used for searching for all
1102 : NEP options in the database.
1103 :
1104 : Logically Collective
1105 :
1106 : Input Parameters:
1107 : + nep - the nonlinear eigensolver context
1108 : - prefix - the prefix string to prepend to all NEP option requests
1109 :
1110 : Notes:
1111 : A hyphen (-) must NOT be given at the beginning of the prefix name.
1112 : The first character of all runtime options is AUTOMATICALLY the hyphen.
1113 :
1114 : Level: advanced
1115 :
1116 : .seealso: NEPSetOptionsPrefix(), NEPGetOptionsPrefix()
1117 : @*/
1118 1 : PetscErrorCode NEPAppendOptionsPrefix(NEP nep,const char *prefix)
1119 : {
1120 1 : PetscFunctionBegin;
1121 1 : PetscValidHeaderSpecific(nep,NEP_CLASSID,1);
1122 1 : if (!nep->V) PetscCall(NEPGetBV(nep,&nep->V));
1123 1 : PetscCall(BVAppendOptionsPrefix(nep->V,prefix));
1124 1 : if (!nep->ds) PetscCall(NEPGetDS(nep,&nep->ds));
1125 1 : PetscCall(DSAppendOptionsPrefix(nep->ds,prefix));
1126 1 : if (!nep->rg) PetscCall(NEPGetRG(nep,&nep->rg));
1127 1 : PetscCall(RGAppendOptionsPrefix(nep->rg,prefix));
1128 1 : PetscCall(PetscObjectAppendOptionsPrefix((PetscObject)nep,prefix));
1129 1 : PetscFunctionReturn(PETSC_SUCCESS);
1130 : }
1131 :
1132 : /*@
1133 : NEPGetOptionsPrefix - Gets the prefix used for searching for all
1134 : NEP options in the database.
1135 :
1136 : Not Collective
1137 :
1138 : Input Parameters:
1139 : . nep - the nonlinear eigensolver context
1140 :
1141 : Output Parameters:
1142 : . prefix - pointer to the prefix string used is returned
1143 :
1144 : Note:
1145 : On the Fortran side, the user should pass in a string 'prefix' of
1146 : sufficient length to hold the prefix.
1147 :
1148 : Level: advanced
1149 :
1150 : .seealso: NEPSetOptionsPrefix(), NEPAppendOptionsPrefix()
1151 : @*/
1152 1 : PetscErrorCode NEPGetOptionsPrefix(NEP nep,const char *prefix[])
1153 : {
1154 1 : PetscFunctionBegin;
1155 1 : PetscValidHeaderSpecific(nep,NEP_CLASSID,1);
1156 1 : PetscAssertPointer(prefix,2);
1157 1 : PetscCall(PetscObjectGetOptionsPrefix((PetscObject)nep,prefix));
1158 1 : PetscFunctionReturn(PETSC_SUCCESS);
1159 : }
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