| Line | Branch | Exec | Source |
|---|---|---|---|
| 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 | 3927 | PetscErrorCode NEPMonitorSetFromOptions(NEP nep,const char opt[],const char name[],void *ctx,PetscBool trackall) | |
| 36 | { | ||
| 37 | 3927 | PetscErrorCode (*mfunc)(NEP,PetscInt,PetscInt,PetscScalar*,PetscScalar*,PetscReal*,PetscInt,void*); | |
| 38 | 3927 | PetscErrorCode (*cfunc)(PetscViewer,PetscViewerFormat,void*,PetscViewerAndFormat**); | |
| 39 | 3927 | PetscErrorCode (*dfunc)(PetscViewerAndFormat**); | |
| 40 | 3927 | PetscViewerAndFormat *vf; | |
| 41 | 3927 | PetscViewer viewer; | |
| 42 | 3927 | PetscViewerFormat format; | |
| 43 | 3927 | PetscViewerType vtype; | |
| 44 | 3927 | char key[PETSC_MAX_PATH_LEN]; | |
| 45 | 3927 | PetscBool flg; | |
| 46 | |||
| 47 |
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3927 | PetscFunctionBegin; |
| 48 |
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3927 | PetscCall(PetscOptionsCreateViewer(PetscObjectComm((PetscObject)nep),((PetscObject)nep)->options,((PetscObject)nep)->prefix,opt,&viewer,&format,&flg)); |
| 49 |
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3927 | if (!flg) PetscFunctionReturn(PETSC_SUCCESS); |
| 50 | |||
| 51 |
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54 | PetscCall(PetscViewerGetType(viewer,&vtype)); |
| 52 |
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54 | PetscCall(SlepcMonitorMakeKey_Internal(name,vtype,format,key)); |
| 53 |
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54 | PetscCall(PetscFunctionListFind(NEPMonitorList,key,&mfunc)); |
| 54 |
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54 | PetscCheck(mfunc,PetscObjectComm((PetscObject)nep),PETSC_ERR_SUP,"Specified viewer and format not supported"); |
| 55 |
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54 | PetscCall(PetscFunctionListFind(NEPMonitorCreateList,key,&cfunc)); |
| 56 |
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54 | PetscCall(PetscFunctionListFind(NEPMonitorDestroyList,key,&dfunc)); |
| 57 |
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54 | if (!cfunc) cfunc = PetscViewerAndFormatCreate_Internal; |
| 58 |
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54 | if (!dfunc) dfunc = PetscViewerAndFormatDestroy; |
| 59 | |||
| 60 |
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54 | PetscCall((*cfunc)(viewer,format,ctx,&vf)); |
| 61 |
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54 | PetscCall(PetscViewerDestroy(&viewer)); |
| 62 |
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54 | PetscCall(NEPMonitorSet(nep,mfunc,vf,(PetscCtxDestroyFn*)dfunc)); |
| 63 |
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54 | if (trackall) PetscCall(NEPSetTrackAll(nep,PETSC_TRUE)); |
| 64 |
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9 | 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 | 1309 | PetscErrorCode NEPSetFromOptions(NEP nep) | |
| 85 | { | ||
| 86 | 1309 | char type[256]; | |
| 87 | 1309 | PetscBool set,flg,flg1,flg2,flg3,flg4,flg5,bval; | |
| 88 | 1309 | PetscReal r; | |
| 89 | 1309 | PetscScalar s; | |
| 90 | 1309 | PetscInt i,j,k; | |
| 91 | 1309 | NEPRefine refine; | |
| 92 | 1309 | NEPRefineScheme scheme; | |
| 93 | |||
| 94 |
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1309 | PetscFunctionBegin; |
| 95 |
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1309 | PetscValidHeaderSpecific(nep,NEP_CLASSID,1); |
| 96 |
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1309 | PetscCall(NEPRegisterAll()); |
| 97 |
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3927 | PetscObjectOptionsBegin((PetscObject)nep); |
| 98 |
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1759 | PetscCall(PetscOptionsFList("-nep_type","Nonlinear eigensolver method","NEPSetType",NEPList,(char*)(((PetscObject)nep)->type_name?((PetscObject)nep)->type_name:NEPRII),type,sizeof(type),&flg)); |
| 99 |
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1309 | if (flg) PetscCall(NEPSetType(nep,type)); |
| 100 |
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369 | else if (!((PetscObject)nep)->type_name) PetscCall(NEPSetType(nep,NEPRII)); |
| 101 | |||
| 102 |
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1309 | PetscCall(PetscOptionsBoolGroupBegin("-nep_general","General nonlinear eigenvalue problem","NEPSetProblemType",&flg)); |
| 103 |
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1309 | if (flg) PetscCall(NEPSetProblemType(nep,NEP_GENERAL)); |
| 104 |
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1309 | PetscCall(PetscOptionsBoolGroupEnd("-nep_rational","Rational eigenvalue problem","NEPSetProblemType",&flg)); |
| 105 |
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1309 | if (flg) PetscCall(NEPSetProblemType(nep,NEP_RATIONAL)); |
| 106 | |||
| 107 | 1309 | refine = nep->refine; | |
| 108 |
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1309 | PetscCall(PetscOptionsEnum("-nep_refine","Iterative refinement method","NEPSetRefine",NEPRefineTypes,(PetscEnum)refine,(PetscEnum*)&refine,&flg1)); |
| 109 | 1309 | i = nep->npart; | |
| 110 |
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1309 | PetscCall(PetscOptionsInt("-nep_refine_partitions","Number of partitions of the communicator for iterative refinement","NEPSetRefine",nep->npart,&i,&flg2)); |
| 111 | 1309 | r = nep->rtol; | |
| 112 |
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1325 | PetscCall(PetscOptionsReal("-nep_refine_tol","Tolerance for iterative refinement","NEPSetRefine",nep->rtol==(PetscReal)PETSC_DETERMINE?SLEPC_DEFAULT_TOL/1000:nep->rtol,&r,&flg3)); |
| 113 | 1309 | j = nep->rits; | |
| 114 |
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1309 | PetscCall(PetscOptionsInt("-nep_refine_its","Maximum number of iterations for iterative refinement","NEPSetRefine",nep->rits,&j,&flg4)); |
| 115 | 1309 | scheme = nep->scheme; | |
| 116 |
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1309 | PetscCall(PetscOptionsEnum("-nep_refine_scheme","Scheme used for linear systems within iterative refinement","NEPSetRefine",NEPRefineSchemes,(PetscEnum)scheme,(PetscEnum*)&scheme,&flg5)); |
| 117 |
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1309 | if (flg1 || flg2 || flg3 || flg4 || flg5) PetscCall(NEPSetRefine(nep,refine,i,r,j,scheme)); |
| 118 | |||
| 119 | 1309 | i = nep->max_it; | |
| 120 |
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1309 | PetscCall(PetscOptionsInt("-nep_max_it","Maximum number of iterations","NEPSetTolerances",nep->max_it,&i,&flg1)); |
| 121 | 1309 | r = nep->tol; | |
| 122 |
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2102 | PetscCall(PetscOptionsReal("-nep_tol","Tolerance","NEPSetTolerances",SlepcDefaultTol(nep->tol),&r,&flg2)); |
| 123 |
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1309 | if (flg1 || flg2) PetscCall(NEPSetTolerances(nep,r,i)); |
| 124 | |||
| 125 |
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1309 | PetscCall(PetscOptionsBoolGroupBegin("-nep_conv_rel","Relative error convergence test","NEPSetConvergenceTest",&flg)); |
| 126 |
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1309 | if (flg) PetscCall(NEPSetConvergenceTest(nep,NEP_CONV_REL)); |
| 127 |
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1309 | PetscCall(PetscOptionsBoolGroup("-nep_conv_norm","Convergence test relative to the matrix norms","NEPSetConvergenceTest",&flg)); |
| 128 |
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1309 | if (flg) PetscCall(NEPSetConvergenceTest(nep,NEP_CONV_NORM)); |
| 129 |
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1309 | PetscCall(PetscOptionsBoolGroup("-nep_conv_abs","Absolute error convergence test","NEPSetConvergenceTest",&flg)); |
| 130 |
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1309 | if (flg) PetscCall(NEPSetConvergenceTest(nep,NEP_CONV_ABS)); |
| 131 |
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1309 | PetscCall(PetscOptionsBoolGroupEnd("-nep_conv_user","User-defined convergence test","NEPSetConvergenceTest",&flg)); |
| 132 |
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1309 | if (flg) PetscCall(NEPSetConvergenceTest(nep,NEP_CONV_USER)); |
| 133 | |||
| 134 |
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1309 | PetscCall(PetscOptionsBoolGroupBegin("-nep_stop_basic","Stop iteration if all eigenvalues converged or max_it reached","NEPSetStoppingTest",&flg)); |
| 135 |
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1309 | if (flg) PetscCall(NEPSetStoppingTest(nep,NEP_STOP_BASIC)); |
| 136 |
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1309 | PetscCall(PetscOptionsBoolGroupEnd("-nep_stop_user","User-defined stopping test","NEPSetStoppingTest",&flg)); |
| 137 |
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1309 | if (flg) PetscCall(NEPSetStoppingTest(nep,NEP_STOP_USER)); |
| 138 | |||
| 139 | 1309 | i = nep->nev; | |
| 140 |
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1309 | PetscCall(PetscOptionsInt("-nep_nev","Number of eigenvalues to compute","NEPSetDimensions",nep->nev,&i,&flg1)); |
| 141 | 1309 | j = nep->ncv; | |
| 142 |
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1309 | PetscCall(PetscOptionsInt("-nep_ncv","Number of basis vectors","NEPSetDimensions",nep->ncv,&j,&flg2)); |
| 143 | 1309 | k = nep->mpd; | |
| 144 |
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1309 | PetscCall(PetscOptionsInt("-nep_mpd","Maximum dimension of projected problem","NEPSetDimensions",nep->mpd,&k,&flg3)); |
| 145 |
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1309 | if (flg1 || flg2 || flg3) PetscCall(NEPSetDimensions(nep,i,j,k)); |
| 146 | |||
| 147 |
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1309 | PetscCall(PetscOptionsBoolGroupBegin("-nep_largest_magnitude","Compute largest eigenvalues in magnitude","NEPSetWhichEigenpairs",&flg)); |
| 148 |
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1309 | if (flg) PetscCall(NEPSetWhichEigenpairs(nep,NEP_LARGEST_MAGNITUDE)); |
| 149 |
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1309 | PetscCall(PetscOptionsBoolGroup("-nep_smallest_magnitude","Compute smallest eigenvalues in magnitude","NEPSetWhichEigenpairs",&flg)); |
| 150 |
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1309 | if (flg) PetscCall(NEPSetWhichEigenpairs(nep,NEP_SMALLEST_MAGNITUDE)); |
| 151 |
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1309 | PetscCall(PetscOptionsBoolGroup("-nep_largest_real","Compute eigenvalues with largest real parts","NEPSetWhichEigenpairs",&flg)); |
| 152 |
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1309 | if (flg) PetscCall(NEPSetWhichEigenpairs(nep,NEP_LARGEST_REAL)); |
| 153 |
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1309 | PetscCall(PetscOptionsBoolGroup("-nep_smallest_real","Compute eigenvalues with smallest real parts","NEPSetWhichEigenpairs",&flg)); |
| 154 |
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1309 | if (flg) PetscCall(NEPSetWhichEigenpairs(nep,NEP_SMALLEST_REAL)); |
| 155 |
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1309 | PetscCall(PetscOptionsBoolGroup("-nep_largest_imaginary","Compute eigenvalues with largest imaginary parts","NEPSetWhichEigenpairs",&flg)); |
| 156 |
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1309 | if (flg) PetscCall(NEPSetWhichEigenpairs(nep,NEP_LARGEST_IMAGINARY)); |
| 157 |
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1309 | PetscCall(PetscOptionsBoolGroup("-nep_smallest_imaginary","Compute eigenvalues with smallest imaginary parts","NEPSetWhichEigenpairs",&flg)); |
| 158 |
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1309 | if (flg) PetscCall(NEPSetWhichEigenpairs(nep,NEP_SMALLEST_IMAGINARY)); |
| 159 |
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1309 | PetscCall(PetscOptionsBoolGroup("-nep_target_magnitude","Compute eigenvalues closest to target","NEPSetWhichEigenpairs",&flg)); |
| 160 |
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1309 | if (flg) PetscCall(NEPSetWhichEigenpairs(nep,NEP_TARGET_MAGNITUDE)); |
| 161 |
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1309 | PetscCall(PetscOptionsBoolGroup("-nep_target_real","Compute eigenvalues with real parts closest to target","NEPSetWhichEigenpairs",&flg)); |
| 162 |
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1309 | if (flg) PetscCall(NEPSetWhichEigenpairs(nep,NEP_TARGET_REAL)); |
| 163 |
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1309 | PetscCall(PetscOptionsBoolGroup("-nep_target_imaginary","Compute eigenvalues with imaginary parts closest to target","NEPSetWhichEigenpairs",&flg)); |
| 164 |
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1309 | if (flg) PetscCall(NEPSetWhichEigenpairs(nep,NEP_TARGET_IMAGINARY)); |
| 165 |
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1309 | PetscCall(PetscOptionsBoolGroupEnd("-nep_all","Compute all eigenvalues in a region","NEPSetWhichEigenpairs",&flg)); |
| 166 |
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1309 | if (flg) PetscCall(NEPSetWhichEigenpairs(nep,NEP_ALL)); |
| 167 | |||
| 168 |
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1309 | PetscCall(PetscOptionsScalar("-nep_target","Value of the target","NEPSetTarget",nep->target,&s,&flg)); |
| 169 |
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1309 | if (flg) { |
| 170 |
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727 | if (nep->which!=NEP_TARGET_REAL && nep->which!=NEP_TARGET_IMAGINARY) PetscCall(NEPSetWhichEigenpairs(nep,NEP_TARGET_MAGNITUDE)); |
| 171 |
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727 | PetscCall(NEPSetTarget(nep,s)); |
| 172 | } | ||
| 173 | |||
| 174 |
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1309 | PetscCall(PetscOptionsBool("-nep_two_sided","Use two-sided variant (to compute left eigenvectors)","NEPSetTwoSided",nep->twosided,&bval,&flg)); |
| 175 |
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1309 | if (flg) PetscCall(NEPSetTwoSided(nep,bval)); |
| 176 | |||
| 177 | /* -----------------------------------------------------------------------*/ | ||
| 178 | /* | ||
| 179 | Cancels all monitors hardwired into code before call to NEPSetFromOptions() | ||
| 180 | */ | ||
| 181 |
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1309 | PetscCall(PetscOptionsBool("-nep_monitor_cancel","Remove any hardwired monitor routines","NEPMonitorCancel",PETSC_FALSE,&flg,&set)); |
| 182 |
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1309 | if (set && flg) PetscCall(NEPMonitorCancel(nep)); |
| 183 |
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1309 | PetscCall(NEPMonitorSetFromOptions(nep,"-nep_monitor","first_approximation",NULL,PETSC_FALSE)); |
| 184 |
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1309 | PetscCall(NEPMonitorSetFromOptions(nep,"-nep_monitor_all","all_approximations",NULL,PETSC_TRUE)); |
| 185 |
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1309 | PetscCall(NEPMonitorSetFromOptions(nep,"-nep_monitor_conv","convergence_history",NULL,PETSC_FALSE)); |
| 186 | |||
| 187 | /* -----------------------------------------------------------------------*/ | ||
| 188 |
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1309 | PetscCall(PetscOptionsName("-nep_view","Print detailed information on solver used","NEPView",&set)); |
| 189 |
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1309 | PetscCall(PetscOptionsName("-nep_view_vectors","View computed eigenvectors","NEPVectorsView",&set)); |
| 190 |
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1309 | PetscCall(PetscOptionsName("-nep_view_values","View computed eigenvalues","NEPValuesView",&set)); |
| 191 |
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1309 | PetscCall(PetscOptionsName("-nep_converged_reason","Print reason for convergence, and number of iterations","NEPConvergedReasonView",&set)); |
| 192 |
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1309 | PetscCall(PetscOptionsName("-nep_error_absolute","Print absolute errors of each eigenpair","NEPErrorView",&set)); |
| 193 |
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1309 | PetscCall(PetscOptionsName("-nep_error_relative","Print relative errors of each eigenpair","NEPErrorView",&set)); |
| 194 | |||
| 195 |
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1309 | PetscTryTypeMethod(nep,setfromoptions,PetscOptionsObject); |
| 196 |
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1309 | PetscCall(PetscObjectProcessOptionsHandlers((PetscObject)nep,PetscOptionsObject)); |
| 197 |
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1309 | PetscOptionsEnd(); |
| 198 | |||
| 199 |
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1309 | if (!nep->V) PetscCall(NEPGetBV(nep,&nep->V)); |
| 200 |
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1309 | PetscCall(BVSetFromOptions(nep->V)); |
| 201 |
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1309 | if (!nep->rg) PetscCall(NEPGetRG(nep,&nep->rg)); |
| 202 |
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1309 | PetscCall(RGSetFromOptions(nep->rg)); |
| 203 |
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1309 | if (nep->useds) { |
| 204 |
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1059 | if (!nep->ds) PetscCall(NEPGetDS(nep,&nep->ds)); |
| 205 |
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1059 | PetscCall(NEPSetDSType(nep)); |
| 206 |
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1059 | PetscCall(DSSetFromOptions(nep->ds)); |
| 207 | } | ||
| 208 |
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1309 | if (!nep->refineksp) PetscCall(NEPRefineGetKSP(nep,&nep->refineksp)); |
| 209 |
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1309 | PetscCall(KSPSetFromOptions(nep->refineksp)); |
| 210 |
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3888 | if (nep->fui==NEP_USER_INTERFACE_SPLIT) for (i=0;i<nep->nt;i++) PetscCall(FNSetFromOptions(nep->f[i])); |
| 211 |
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245 | 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 | 87 | PetscErrorCode NEPGetTolerances(NEP nep,PetscReal *tol,PetscInt *maxits) | |
| 235 | { | ||
| 236 |
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87 | PetscFunctionBegin; |
| 237 |
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87 | PetscValidHeaderSpecific(nep,NEP_CLASSID,1); |
| 238 |
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87 | if (tol) *tol = nep->tol; |
| 239 |
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87 | if (maxits) *maxits = nep->max_it; |
| 240 |
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87 | 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 | 686 | PetscErrorCode NEPSetTolerances(NEP nep,PetscReal tol,PetscInt maxits) | |
| 269 | { | ||
| 270 |
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686 | PetscFunctionBegin; |
| 271 |
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686 | PetscValidHeaderSpecific(nep,NEP_CLASSID,1); |
| 272 |
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686 | PetscValidLogicalCollectiveReal(nep,tol,2); |
| 273 |
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686 | PetscValidLogicalCollectiveInt(nep,maxits,3); |
| 274 |
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686 | if (tol == (PetscReal)PETSC_DETERMINE) { |
| 275 | ✗ | nep->tol = PETSC_DETERMINE; | |
| 276 | ✗ | nep->state = NEP_STATE_INITIAL; | |
| 277 |
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686 | } else if (tol != (PetscReal)PETSC_CURRENT) { |
| 278 |
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676 | PetscCheck(tol>0.0,PetscObjectComm((PetscObject)nep),PETSC_ERR_ARG_OUTOFRANGE,"Illegal value of tol. Must be > 0"); |
| 279 | 676 | nep->tol = tol; | |
| 280 | } | ||
| 281 |
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686 | if (maxits == PETSC_DETERMINE) { |
| 282 | 160 | nep->max_it = PETSC_DETERMINE; | |
| 283 | 160 | nep->state = NEP_STATE_INITIAL; | |
| 284 |
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526 | } else if (maxits == PETSC_UNLIMITED) { |
| 285 | ✗ | nep->max_it = PETSC_INT_MAX; | |
| 286 |
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526 | } else if (maxits != PETSC_CURRENT) { |
| 287 |
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26 | PetscCheck(maxits>0,PetscObjectComm((PetscObject)nep),PETSC_ERR_ARG_OUTOFRANGE,"Illegal value of maxits. Must be > 0"); |
| 288 | 26 | nep->max_it = maxits; | |
| 289 | } | ||
| 290 |
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132 | 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 | 539 | PetscErrorCode NEPGetDimensions(NEP nep,PetscInt *nev,PetscInt *ncv,PetscInt *mpd) | |
| 315 | { | ||
| 316 |
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539 | PetscFunctionBegin; |
| 317 |
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539 | PetscValidHeaderSpecific(nep,NEP_CLASSID,1); |
| 318 |
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539 | if (nev) *nev = nep->nev; |
| 319 |
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539 | if (ncv) *ncv = nep->ncv; |
| 320 |
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539 | if (mpd) *mpd = nep->mpd; |
| 321 |
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539 | 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 | 1034 | PetscErrorCode NEPSetDimensions(NEP nep,PetscInt nev,PetscInt ncv,PetscInt mpd) | |
| 360 | { | ||
| 361 |
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1034 | PetscFunctionBegin; |
| 362 |
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1034 | PetscValidHeaderSpecific(nep,NEP_CLASSID,1); |
| 363 |
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1034 | PetscValidLogicalCollectiveInt(nep,nev,2); |
| 364 |
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1034 | PetscValidLogicalCollectiveInt(nep,ncv,3); |
| 365 |
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1034 | PetscValidLogicalCollectiveInt(nep,mpd,4); |
| 366 |
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1034 | if (nev != PETSC_CURRENT) { |
| 367 |
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1034 | PetscCheck(nev>0,PetscObjectComm((PetscObject)nep),PETSC_ERR_ARG_OUTOFRANGE,"Illegal value of nev. Must be > 0"); |
| 368 | 1034 | nep->nev = nev; | |
| 369 | } | ||
| 370 |
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1034 | if (ncv == PETSC_DETERMINE) { |
| 371 | 878 | nep->ncv = PETSC_DETERMINE; | |
| 372 |
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156 | } else if (ncv != PETSC_CURRENT) { |
| 373 |
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151 | PetscCheck(ncv>0,PetscObjectComm((PetscObject)nep),PETSC_ERR_ARG_OUTOFRANGE,"Illegal value of ncv. Must be > 0"); |
| 374 | 151 | nep->ncv = ncv; | |
| 375 | } | ||
| 376 |
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1034 | if (mpd == PETSC_DETERMINE) { |
| 377 | 1009 | nep->mpd = PETSC_DETERMINE; | |
| 378 |
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25 | } else if (mpd != PETSC_CURRENT) { |
| 379 |
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10 | PetscCheck(mpd>0,PetscObjectComm((PetscObject)nep),PETSC_ERR_ARG_OUTOFRANGE,"Illegal value of mpd. Must be > 0"); |
| 380 | 10 | nep->mpd = mpd; | |
| 381 | } | ||
| 382 | 1034 | nep->state = NEP_STATE_INITIAL; | |
| 383 |
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1034 | 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 | 791 | PetscErrorCode NEPSetWhichEigenpairs(NEP nep,NEPWhich which) | |
| 438 | { | ||
| 439 |
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791 | PetscFunctionBegin; |
| 440 |
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791 | PetscValidHeaderSpecific(nep,NEP_CLASSID,1); |
| 441 |
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791 | PetscValidLogicalCollectiveEnum(nep,which,2); |
| 442 |
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791 | switch (which) { |
| 443 | 791 | 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 |
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791 | if (nep->which != which) { |
| 457 | 771 | nep->state = NEP_STATE_INITIAL; | |
| 458 | 771 | nep->which = which; | |
| 459 | } | ||
| 460 | 152 | 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 | ✗ | default: | |
| 466 | ✗ | SETERRQ(PetscObjectComm((PetscObject)nep),PETSC_ERR_ARG_OUTOFRANGE,"Invalid 'which' value"); | |
| 467 | } | ||
| 468 |
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152 | 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 | 16 | PetscErrorCode NEPGetWhichEigenpairs(NEP nep,NEPWhich *which) | |
| 491 | { | ||
| 492 |
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16 | PetscFunctionBegin; |
| 493 |
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16 | PetscValidHeaderSpecific(nep,NEP_CLASSID,1); |
| 494 |
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16 | PetscAssertPointer(which,2); |
| 495 | 16 | *which = nep->which; | |
| 496 |
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16 | 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 | Note: | ||
| 511 | The returning parameter 'res' can be | ||
| 512 | + negative - if the 1st eigenvalue is preferred to the 2st one | ||
| 513 | . zero - if both eigenvalues are equally preferred | ||
| 514 | - positive - if the 2st eigenvalue is preferred to the 1st one | ||
| 515 | |||
| 516 | Level: advanced | ||
| 517 | |||
| 518 | .seealso: NEPSetWhichEigenpairs(), NEPWhich | ||
| 519 | @*/ | ||
| 520 | 5 | PetscErrorCode NEPSetEigenvalueComparison(NEP nep,SlepcEigenvalueComparisonFn *comp,void *ctx) | |
| 521 | { | ||
| 522 |
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5 | PetscFunctionBegin; |
| 523 |
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5 | PetscValidHeaderSpecific(nep,NEP_CLASSID,1); |
| 524 | 5 | nep->sc->comparison = comp; | |
| 525 | 5 | nep->sc->comparisonctx = ctx; | |
| 526 | 5 | nep->which = NEP_WHICH_USER; | |
| 527 |
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5 | PetscFunctionReturn(PETSC_SUCCESS); |
| 528 | } | ||
| 529 | |||
| 530 | /*@ | ||
| 531 | NEPSetProblemType - Specifies the type of the nonlinear eigenvalue problem. | ||
| 532 | |||
| 533 | Logically Collective | ||
| 534 | |||
| 535 | Input Parameters: | ||
| 536 | + nep - the nonlinear eigensolver context | ||
| 537 | - type - a known type of nonlinear eigenvalue problem | ||
| 538 | |||
| 539 | Options Database Keys: | ||
| 540 | + -nep_general - general problem with no particular structure | ||
| 541 | - -nep_rational - a rational eigenvalue problem defined in split form with all f_i rational | ||
| 542 | |||
| 543 | Notes: | ||
| 544 | Allowed values for the problem type are general (NEP_GENERAL), and rational | ||
| 545 | (NEP_RATIONAL). | ||
| 546 | |||
| 547 | This function is used to provide a hint to the NEP solver to exploit certain | ||
| 548 | properties of the nonlinear eigenproblem. This hint may be used or not, | ||
| 549 | depending on the solver. By default, no particular structure is assumed. | ||
| 550 | |||
| 551 | Level: intermediate | ||
| 552 | |||
| 553 | .seealso: NEPSetType(), NEPGetProblemType(), NEPProblemType | ||
| 554 | @*/ | ||
| 555 | 1305 | PetscErrorCode NEPSetProblemType(NEP nep,NEPProblemType type) | |
| 556 | { | ||
| 557 |
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1305 | PetscFunctionBegin; |
| 558 |
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1305 | PetscValidHeaderSpecific(nep,NEP_CLASSID,1); |
| 559 |
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1305 | PetscValidLogicalCollectiveEnum(nep,type,2); |
| 560 |
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1305 | PetscCheck(type==NEP_GENERAL || type==NEP_RATIONAL,PetscObjectComm((PetscObject)nep),PETSC_ERR_ARG_WRONG,"Unknown eigenvalue problem type"); |
| 561 |
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1305 | if (type != nep->problem_type) { |
| 562 | 1305 | nep->problem_type = type; | |
| 563 | 1305 | nep->state = NEP_STATE_INITIAL; | |
| 564 | } | ||
| 565 |
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247 | PetscFunctionReturn(PETSC_SUCCESS); |
| 566 | } | ||
| 567 | |||
| 568 | /*@ | ||
| 569 | NEPGetProblemType - Gets the problem type from the NEP object. | ||
| 570 | |||
| 571 | Not Collective | ||
| 572 | |||
| 573 | Input Parameter: | ||
| 574 | . nep - the nonlinear eigensolver context | ||
| 575 | |||
| 576 | Output Parameter: | ||
| 577 | . type - the problem type | ||
| 578 | |||
| 579 | Level: intermediate | ||
| 580 | |||
| 581 | .seealso: NEPSetProblemType(), NEPProblemType | ||
| 582 | @*/ | ||
| 583 | 32 | PetscErrorCode NEPGetProblemType(NEP nep,NEPProblemType *type) | |
| 584 | { | ||
| 585 |
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32 | PetscFunctionBegin; |
| 586 |
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32 | PetscValidHeaderSpecific(nep,NEP_CLASSID,1); |
| 587 |
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32 | PetscAssertPointer(type,2); |
| 588 | 32 | *type = nep->problem_type; | |
| 589 |
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32 | PetscFunctionReturn(PETSC_SUCCESS); |
| 590 | } | ||
| 591 | |||
| 592 | /*@ | ||
| 593 | NEPSetTwoSided - Sets the solver to use a two-sided variant so that left | ||
| 594 | eigenvectors are also computed. | ||
| 595 | |||
| 596 | Logically Collective | ||
| 597 | |||
| 598 | Input Parameters: | ||
| 599 | + nep - the eigensolver context | ||
| 600 | - twosided - whether the two-sided variant is to be used or not | ||
| 601 | |||
| 602 | Options Database Keys: | ||
| 603 | . -nep_two_sided <boolean> - Sets/resets the twosided flag | ||
| 604 | |||
| 605 | Notes: | ||
| 606 | If the user sets twosided=PETSC_TRUE then the solver uses a variant of | ||
| 607 | the algorithm that computes both right and left eigenvectors. This is | ||
| 608 | usually much more costly. This option is not available in all solvers. | ||
| 609 | |||
| 610 | When using two-sided solvers, the problem matrices must have both the | ||
| 611 | MatMult and MatMultTranspose operations defined. | ||
| 612 | |||
| 613 | Level: advanced | ||
| 614 | |||
| 615 | .seealso: NEPGetTwoSided(), NEPGetLeftEigenvector() | ||
| 616 | @*/ | ||
| 617 | 100 | PetscErrorCode NEPSetTwoSided(NEP nep,PetscBool twosided) | |
| 618 | { | ||
| 619 |
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100 | PetscFunctionBegin; |
| 620 |
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100 | PetscValidHeaderSpecific(nep,NEP_CLASSID,1); |
| 621 |
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100 | PetscValidLogicalCollectiveBool(nep,twosided,2); |
| 622 |
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100 | if (twosided!=nep->twosided) { |
| 623 | 70 | nep->twosided = twosided; | |
| 624 | 70 | nep->state = NEP_STATE_INITIAL; | |
| 625 | } | ||
| 626 |
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100 | PetscFunctionReturn(PETSC_SUCCESS); |
| 627 | } | ||
| 628 | |||
| 629 | /*@ | ||
| 630 | NEPGetTwoSided - Returns the flag indicating whether a two-sided variant | ||
| 631 | of the algorithm is being used or not. | ||
| 632 | |||
| 633 | Not Collective | ||
| 634 | |||
| 635 | Input Parameter: | ||
| 636 | . nep - the eigensolver context | ||
| 637 | |||
| 638 | Output Parameter: | ||
| 639 | . twosided - the returned flag | ||
| 640 | |||
| 641 | Level: advanced | ||
| 642 | |||
| 643 | .seealso: NEPSetTwoSided() | ||
| 644 | @*/ | ||
| 645 | 30 | PetscErrorCode NEPGetTwoSided(NEP nep,PetscBool *twosided) | |
| 646 | { | ||
| 647 |
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30 | PetscFunctionBegin; |
| 648 |
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30 | PetscValidHeaderSpecific(nep,NEP_CLASSID,1); |
| 649 |
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30 | PetscAssertPointer(twosided,2); |
| 650 | 30 | *twosided = nep->twosided; | |
| 651 |
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30 | PetscFunctionReturn(PETSC_SUCCESS); |
| 652 | } | ||
| 653 | |||
| 654 | /*@C | ||
| 655 | NEPSetConvergenceTestFunction - Sets a function to compute the error estimate | ||
| 656 | used in the convergence test. | ||
| 657 | |||
| 658 | Logically Collective | ||
| 659 | |||
| 660 | Input Parameters: | ||
| 661 | + nep - nonlinear eigensolver context obtained from NEPCreate() | ||
| 662 | . conv - convergence test function, see NEPConvergenceTestFn for the calling sequence | ||
| 663 | . ctx - context for private data for the convergence routine (may be NULL) | ||
| 664 | - destroy - a routine for destroying the context (may be NULL), see PetscCtxDestroyFn for the calling sequence | ||
| 665 | |||
| 666 | Note: | ||
| 667 | If the error estimate returned by the convergence test function is less than | ||
| 668 | the tolerance, then the eigenvalue is accepted as converged. | ||
| 669 | |||
| 670 | Level: advanced | ||
| 671 | |||
| 672 | .seealso: NEPSetConvergenceTest(), NEPSetTolerances() | ||
| 673 | @*/ | ||
| 674 | 10 | PetscErrorCode NEPSetConvergenceTestFunction(NEP nep,NEPConvergenceTestFn *conv,void *ctx,PetscCtxDestroyFn *destroy) | |
| 675 | { | ||
| 676 |
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10 | PetscFunctionBegin; |
| 677 |
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10 | PetscValidHeaderSpecific(nep,NEP_CLASSID,1); |
| 678 |
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10 | if (nep->convergeddestroy) PetscCall((*nep->convergeddestroy)(&nep->convergedctx)); |
| 679 | 10 | nep->convergeduser = conv; | |
| 680 | 10 | nep->convergeddestroy = destroy; | |
| 681 | 10 | nep->convergedctx = ctx; | |
| 682 |
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10 | if (conv == NEPConvergedRelative) nep->conv = NEP_CONV_REL; |
| 683 |
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10 | else if (conv == NEPConvergedNorm) nep->conv = NEP_CONV_NORM; |
| 684 |
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10 | else if (conv == NEPConvergedAbsolute) nep->conv = NEP_CONV_ABS; |
| 685 | else { | ||
| 686 | 10 | nep->conv = NEP_CONV_USER; | |
| 687 | 10 | nep->converged = nep->convergeduser; | |
| 688 | } | ||
| 689 |
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2 | PetscFunctionReturn(PETSC_SUCCESS); |
| 690 | } | ||
| 691 | |||
| 692 | /*@ | ||
| 693 | NEPSetConvergenceTest - Specifies how to compute the error estimate | ||
| 694 | used in the convergence test. | ||
| 695 | |||
| 696 | Logically Collective | ||
| 697 | |||
| 698 | Input Parameters: | ||
| 699 | + nep - nonlinear eigensolver context obtained from NEPCreate() | ||
| 700 | - conv - the type of convergence test | ||
| 701 | |||
| 702 | Options Database Keys: | ||
| 703 | + -nep_conv_abs - Sets the absolute convergence test | ||
| 704 | . -nep_conv_rel - Sets the convergence test relative to the eigenvalue | ||
| 705 | - -nep_conv_user - Selects the user-defined convergence test | ||
| 706 | |||
| 707 | Note: | ||
| 708 | The parameter 'conv' can have one of these values | ||
| 709 | + NEP_CONV_ABS - absolute error ||r|| | ||
| 710 | . NEP_CONV_REL - error relative to the eigenvalue l, ||r||/|l| | ||
| 711 | . NEP_CONV_NORM - error relative matrix norms, ||r||/sum_i(|f_i(l)|*||A_i||) | ||
| 712 | - NEP_CONV_USER - function set by NEPSetConvergenceTestFunction() | ||
| 713 | |||
| 714 | Level: intermediate | ||
| 715 | |||
| 716 | .seealso: NEPGetConvergenceTest(), NEPSetConvergenceTestFunction(), NEPSetStoppingTest(), NEPConv | ||
| 717 | @*/ | ||
| 718 | 26 | PetscErrorCode NEPSetConvergenceTest(NEP nep,NEPConv conv) | |
| 719 | { | ||
| 720 |
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26 | PetscFunctionBegin; |
| 721 |
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26 | PetscValidHeaderSpecific(nep,NEP_CLASSID,1); |
| 722 |
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26 | PetscValidLogicalCollectiveEnum(nep,conv,2); |
| 723 |
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26 | switch (conv) { |
| 724 | 16 | case NEP_CONV_ABS: nep->converged = NEPConvergedAbsolute; break; | |
| 725 | ✗ | case NEP_CONV_REL: nep->converged = NEPConvergedRelative; break; | |
| 726 | 10 | case NEP_CONV_NORM: nep->converged = NEPConvergedNorm; break; | |
| 727 | ✗ | case NEP_CONV_USER: | |
| 728 | ✗ | PetscCheck(nep->convergeduser,PetscObjectComm((PetscObject)nep),PETSC_ERR_ORDER,"Must call NEPSetConvergenceTestFunction() first"); | |
| 729 | ✗ | nep->converged = nep->convergeduser; | |
| 730 | ✗ | break; | |
| 731 | ✗ | default: | |
| 732 | ✗ | SETERRQ(PetscObjectComm((PetscObject)nep),PETSC_ERR_ARG_OUTOFRANGE,"Invalid 'conv' value"); | |
| 733 | } | ||
| 734 | 26 | nep->conv = conv; | |
| 735 |
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26 | PetscFunctionReturn(PETSC_SUCCESS); |
| 736 | } | ||
| 737 | |||
| 738 | /*@ | ||
| 739 | NEPGetConvergenceTest - Gets the method used to compute the error estimate | ||
| 740 | used in the convergence test. | ||
| 741 | |||
| 742 | Not Collective | ||
| 743 | |||
| 744 | Input Parameters: | ||
| 745 | . nep - nonlinear eigensolver context obtained from NEPCreate() | ||
| 746 | |||
| 747 | Output Parameters: | ||
| 748 | . conv - the type of convergence test | ||
| 749 | |||
| 750 | Level: intermediate | ||
| 751 | |||
| 752 | .seealso: NEPSetConvergenceTest(), NEPConv | ||
| 753 | @*/ | ||
| 754 | 16 | PetscErrorCode NEPGetConvergenceTest(NEP nep,NEPConv *conv) | |
| 755 | { | ||
| 756 |
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16 | PetscFunctionBegin; |
| 757 |
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16 | PetscValidHeaderSpecific(nep,NEP_CLASSID,1); |
| 758 |
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16 | PetscAssertPointer(conv,2); |
| 759 | 16 | *conv = nep->conv; | |
| 760 |
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16 | PetscFunctionReturn(PETSC_SUCCESS); |
| 761 | } | ||
| 762 | |||
| 763 | /*@C | ||
| 764 | NEPSetStoppingTestFunction - Sets a function to decide when to stop the outer | ||
| 765 | iteration of the eigensolver. | ||
| 766 | |||
| 767 | Logically Collective | ||
| 768 | |||
| 769 | Input Parameters: | ||
| 770 | + nep - nonlinear eigensolver context obtained from NEPCreate() | ||
| 771 | . stop - the stopping test function, see NEPStoppingTestFn for the calling sequence | ||
| 772 | . ctx - context for private data for the stopping routine (may be NULL) | ||
| 773 | - destroy - a routine for destroying the context (may be NULL), see PetscCtxDestroyFn for the calling sequence | ||
| 774 | |||
| 775 | Note: | ||
| 776 | Normal usage is to first call the default routine NEPStoppingBasic() and then | ||
| 777 | set reason to NEP_CONVERGED_USER if some user-defined conditions have been | ||
| 778 | met. To let the eigensolver continue iterating, the result must be left as | ||
| 779 | NEP_CONVERGED_ITERATING. | ||
| 780 | |||
| 781 | Level: advanced | ||
| 782 | |||
| 783 | .seealso: NEPSetStoppingTest(), NEPStoppingBasic() | ||
| 784 | @*/ | ||
| 785 | 10 | PetscErrorCode NEPSetStoppingTestFunction(NEP nep,NEPStoppingTestFn *stop,void *ctx,PetscCtxDestroyFn *destroy) | |
| 786 | { | ||
| 787 |
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10 | PetscFunctionBegin; |
| 788 |
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10 | PetscValidHeaderSpecific(nep,NEP_CLASSID,1); |
| 789 |
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10 | if (nep->stoppingdestroy) PetscCall((*nep->stoppingdestroy)(&nep->stoppingctx)); |
| 790 | 10 | nep->stoppinguser = stop; | |
| 791 | 10 | nep->stoppingdestroy = destroy; | |
| 792 | 10 | nep->stoppingctx = ctx; | |
| 793 |
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10 | if (stop == NEPStoppingBasic) nep->stop = NEP_STOP_BASIC; |
| 794 | else { | ||
| 795 | 10 | nep->stop = NEP_STOP_USER; | |
| 796 | 10 | nep->stopping = nep->stoppinguser; | |
| 797 | } | ||
| 798 |
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|
2 | PetscFunctionReturn(PETSC_SUCCESS); |
| 799 | } | ||
| 800 | |||
| 801 | /*@ | ||
| 802 | NEPSetStoppingTest - Specifies how to decide the termination of the outer | ||
| 803 | loop of the eigensolver. | ||
| 804 | |||
| 805 | Logically Collective | ||
| 806 | |||
| 807 | Input Parameters: | ||
| 808 | + nep - nonlinear eigensolver context obtained from NEPCreate() | ||
| 809 | - stop - the type of stopping test | ||
| 810 | |||
| 811 | Options Database Keys: | ||
| 812 | + -nep_stop_basic - Sets the default stopping test | ||
| 813 | - -nep_stop_user - Selects the user-defined stopping test | ||
| 814 | |||
| 815 | Note: | ||
| 816 | The parameter 'stop' can have one of these values | ||
| 817 | + NEP_STOP_BASIC - default stopping test | ||
| 818 | - NEP_STOP_USER - function set by NEPSetStoppingTestFunction() | ||
| 819 | |||
| 820 | Level: advanced | ||
| 821 | |||
| 822 | .seealso: NEPGetStoppingTest(), NEPSetStoppingTestFunction(), NEPSetConvergenceTest(), NEPStop | ||
| 823 | @*/ | ||
| 824 | 16 | PetscErrorCode NEPSetStoppingTest(NEP nep,NEPStop stop) | |
| 825 | { | ||
| 826 |
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16 | PetscFunctionBegin; |
| 827 |
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16 | PetscValidHeaderSpecific(nep,NEP_CLASSID,1); |
| 828 |
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16 | PetscValidLogicalCollectiveEnum(nep,stop,2); |
| 829 |
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16 | switch (stop) { |
| 830 | 16 | case NEP_STOP_BASIC: nep->stopping = NEPStoppingBasic; break; | |
| 831 | ✗ | case NEP_STOP_USER: | |
| 832 | ✗ | PetscCheck(nep->stoppinguser,PetscObjectComm((PetscObject)nep),PETSC_ERR_ORDER,"Must call NEPSetStoppingTestFunction() first"); | |
| 833 | ✗ | nep->stopping = nep->stoppinguser; | |
| 834 | ✗ | break; | |
| 835 | ✗ | default: | |
| 836 | ✗ | SETERRQ(PetscObjectComm((PetscObject)nep),PETSC_ERR_ARG_OUTOFRANGE,"Invalid 'stop' value"); | |
| 837 | } | ||
| 838 | 16 | nep->stop = stop; | |
| 839 |
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16 | PetscFunctionReturn(PETSC_SUCCESS); |
| 840 | } | ||
| 841 | |||
| 842 | /*@ | ||
| 843 | NEPGetStoppingTest - Gets the method used to decide the termination of the outer | ||
| 844 | loop of the eigensolver. | ||
| 845 | |||
| 846 | Not Collective | ||
| 847 | |||
| 848 | Input Parameters: | ||
| 849 | . nep - nonlinear eigensolver context obtained from NEPCreate() | ||
| 850 | |||
| 851 | Output Parameters: | ||
| 852 | . stop - the type of stopping test | ||
| 853 | |||
| 854 | Level: advanced | ||
| 855 | |||
| 856 | .seealso: NEPSetStoppingTest(), NEPStop | ||
| 857 | @*/ | ||
| 858 | 16 | PetscErrorCode NEPGetStoppingTest(NEP nep,NEPStop *stop) | |
| 859 | { | ||
| 860 |
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16 | PetscFunctionBegin; |
| 861 |
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16 | PetscValidHeaderSpecific(nep,NEP_CLASSID,1); |
| 862 |
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16 | PetscAssertPointer(stop,2); |
| 863 | 16 | *stop = nep->stop; | |
| 864 |
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16 | PetscFunctionReturn(PETSC_SUCCESS); |
| 865 | } | ||
| 866 | |||
| 867 | /*@ | ||
| 868 | NEPSetTrackAll - Specifies if the solver must compute the residual of all | ||
| 869 | approximate eigenpairs or not. | ||
| 870 | |||
| 871 | Logically Collective | ||
| 872 | |||
| 873 | Input Parameters: | ||
| 874 | + nep - the eigensolver context | ||
| 875 | - trackall - whether compute all residuals or not | ||
| 876 | |||
| 877 | Notes: | ||
| 878 | If the user sets trackall=PETSC_TRUE then the solver explicitly computes | ||
| 879 | the residual for each eigenpair approximation. Computing the residual is | ||
| 880 | usually an expensive operation and solvers commonly compute the associated | ||
| 881 | residual to the first unconverged eigenpair. | ||
| 882 | |||
| 883 | The option '-nep_monitor_all' automatically activates this option. | ||
| 884 | |||
| 885 | Level: developer | ||
| 886 | |||
| 887 | .seealso: NEPGetTrackAll() | ||
| 888 | @*/ | ||
| 889 | 18 | PetscErrorCode NEPSetTrackAll(NEP nep,PetscBool trackall) | |
| 890 | { | ||
| 891 |
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18 | PetscFunctionBegin; |
| 892 |
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18 | PetscValidHeaderSpecific(nep,NEP_CLASSID,1); |
| 893 |
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18 | PetscValidLogicalCollectiveBool(nep,trackall,2); |
| 894 | 18 | nep->trackall = trackall; | |
| 895 |
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18 | PetscFunctionReturn(PETSC_SUCCESS); |
| 896 | } | ||
| 897 | |||
| 898 | /*@ | ||
| 899 | NEPGetTrackAll - Returns the flag indicating whether all residual norms must | ||
| 900 | be computed or not. | ||
| 901 | |||
| 902 | Not Collective | ||
| 903 | |||
| 904 | Input Parameter: | ||
| 905 | . nep - the eigensolver context | ||
| 906 | |||
| 907 | Output Parameter: | ||
| 908 | . trackall - the returned flag | ||
| 909 | |||
| 910 | Level: developer | ||
| 911 | |||
| 912 | .seealso: NEPSetTrackAll() | ||
| 913 | @*/ | ||
| 914 | 280 | PetscErrorCode NEPGetTrackAll(NEP nep,PetscBool *trackall) | |
| 915 | { | ||
| 916 |
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280 | PetscFunctionBegin; |
| 917 |
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280 | PetscValidHeaderSpecific(nep,NEP_CLASSID,1); |
| 918 |
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280 | PetscAssertPointer(trackall,2); |
| 919 | 280 | *trackall = nep->trackall; | |
| 920 |
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280 | PetscFunctionReturn(PETSC_SUCCESS); |
| 921 | } | ||
| 922 | |||
| 923 | /*@ | ||
| 924 | NEPSetRefine - Specifies the refinement type (and options) to be used | ||
| 925 | after the solve. | ||
| 926 | |||
| 927 | Logically Collective | ||
| 928 | |||
| 929 | Input Parameters: | ||
| 930 | + nep - the nonlinear eigensolver context | ||
| 931 | . refine - refinement type | ||
| 932 | . npart - number of partitions of the communicator | ||
| 933 | . tol - the convergence tolerance | ||
| 934 | . its - maximum number of refinement iterations | ||
| 935 | - scheme - which scheme to be used for solving the involved linear systems | ||
| 936 | |||
| 937 | Options Database Keys: | ||
| 938 | + -nep_refine <type> - refinement type, one of <none,simple,multiple> | ||
| 939 | . -nep_refine_partitions <n> - the number of partitions | ||
| 940 | . -nep_refine_tol <tol> - the tolerance | ||
| 941 | . -nep_refine_its <its> - number of iterations | ||
| 942 | - -nep_refine_scheme - to set the scheme for the linear solves | ||
| 943 | |||
| 944 | Notes: | ||
| 945 | By default, iterative refinement is disabled, since it may be very | ||
| 946 | costly. There are two possible refinement strategies, simple and multiple. | ||
| 947 | The simple approach performs iterative refinement on each of the | ||
| 948 | converged eigenpairs individually, whereas the multiple strategy works | ||
| 949 | with the invariant pair as a whole, refining all eigenpairs simultaneously. | ||
| 950 | The latter may be required for the case of multiple eigenvalues. | ||
| 951 | |||
| 952 | In some cases, especially when using direct solvers within the | ||
| 953 | iterative refinement method, it may be helpful for improved scalability | ||
| 954 | to split the communicator in several partitions. The npart parameter | ||
| 955 | indicates how many partitions to use (defaults to 1). | ||
| 956 | |||
| 957 | The tol and its parameters specify the stopping criterion. In the simple | ||
| 958 | method, refinement continues until the residual of each eigenpair is | ||
| 959 | below the tolerance (tol defaults to the NEP tol, but may be set to a | ||
| 960 | different value). In contrast, the multiple method simply performs its | ||
| 961 | refinement iterations (just one by default). | ||
| 962 | |||
| 963 | The scheme argument is used to change the way in which linear systems are | ||
| 964 | solved. Possible choices are explicit, mixed block elimination (MBE), | ||
| 965 | and Schur complement. | ||
| 966 | |||
| 967 | Use PETSC_CURRENT to retain the current value of npart, tol or its. Use | ||
| 968 | PETSC_DETERMINE to assign a default value. | ||
| 969 | |||
| 970 | Level: intermediate | ||
| 971 | |||
| 972 | .seealso: NEPGetRefine() | ||
| 973 | @*/ | ||
| 974 | 136 | PetscErrorCode NEPSetRefine(NEP nep,NEPRefine refine,PetscInt npart,PetscReal tol,PetscInt its,NEPRefineScheme scheme) | |
| 975 | { | ||
| 976 | 136 | PetscMPIInt size; | |
| 977 | |||
| 978 |
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136 | PetscFunctionBegin; |
| 979 |
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136 | PetscValidHeaderSpecific(nep,NEP_CLASSID,1); |
| 980 |
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136 | PetscValidLogicalCollectiveEnum(nep,refine,2); |
| 981 |
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136 | PetscValidLogicalCollectiveInt(nep,npart,3); |
| 982 |
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136 | PetscValidLogicalCollectiveReal(nep,tol,4); |
| 983 |
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136 | PetscValidLogicalCollectiveInt(nep,its,5); |
| 984 |
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|
136 | PetscValidLogicalCollectiveEnum(nep,scheme,6); |
| 985 | 136 | nep->refine = refine; | |
| 986 |
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136 | if (refine) { /* process parameters only if not REFINE_NONE */ |
| 987 |
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136 | if (npart!=nep->npart) { |
| 988 |
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80 | PetscCall(PetscSubcommDestroy(&nep->refinesubc)); |
| 989 |
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80 | PetscCall(KSPDestroy(&nep->refineksp)); |
| 990 | } | ||
| 991 |
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136 | if (npart == PETSC_DETERMINE) { |
| 992 | ✗ | nep->npart = 1; | |
| 993 |
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136 | } else if (npart != PETSC_CURRENT) { |
| 994 |
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136 | PetscCallMPI(MPI_Comm_size(PetscObjectComm((PetscObject)nep),&size)); |
| 995 |
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136 | PetscCheck(npart>0 && npart<=size,PetscObjectComm((PetscObject)nep),PETSC_ERR_ARG_OUTOFRANGE,"Illegal value of npart"); |
| 996 | 136 | nep->npart = npart; | |
| 997 | } | ||
| 998 |
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136 | if (tol == (PetscReal)PETSC_DETERMINE) { |
| 999 | 120 | nep->rtol = PETSC_DETERMINE; | |
| 1000 |
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16 | } else if (tol != (PetscReal)PETSC_CURRENT) { |
| 1001 |
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16 | PetscCheck(tol>0.0,PetscObjectComm((PetscObject)nep),PETSC_ERR_ARG_OUTOFRANGE,"Illegal value of tol. Must be > 0"); |
| 1002 | 16 | nep->rtol = tol; | |
| 1003 | } | ||
| 1004 |
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136 | if (its==PETSC_DETERMINE) { |
| 1005 | 110 | nep->rits = PETSC_DETERMINE; | |
| 1006 |
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26 | } else if (its != PETSC_CURRENT) { |
| 1007 |
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26 | PetscCheck(its>=0,PetscObjectComm((PetscObject)nep),PETSC_ERR_ARG_OUTOFRANGE,"Illegal value of its. Must be >= 0"); |
| 1008 | 26 | nep->rits = its; | |
| 1009 | } | ||
| 1010 | 136 | nep->scheme = scheme; | |
| 1011 | } | ||
| 1012 | 136 | nep->state = NEP_STATE_INITIAL; | |
| 1013 |
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136 | PetscFunctionReturn(PETSC_SUCCESS); |
| 1014 | } | ||
| 1015 | |||
| 1016 | /*@ | ||
| 1017 | NEPGetRefine - Gets the refinement strategy used by the NEP object, and the | ||
| 1018 | associated parameters. | ||
| 1019 | |||
| 1020 | Not Collective | ||
| 1021 | |||
| 1022 | Input Parameter: | ||
| 1023 | . nep - the nonlinear eigensolver context | ||
| 1024 | |||
| 1025 | Output Parameters: | ||
| 1026 | + refine - refinement type | ||
| 1027 | . npart - number of partitions of the communicator | ||
| 1028 | . tol - the convergence tolerance | ||
| 1029 | . its - maximum number of refinement iterations | ||
| 1030 | - scheme - the scheme used for solving linear systems | ||
| 1031 | |||
| 1032 | Level: intermediate | ||
| 1033 | |||
| 1034 | Note: | ||
| 1035 | The user can specify NULL for any parameter that is not needed. | ||
| 1036 | |||
| 1037 | .seealso: NEPSetRefine() | ||
| 1038 | @*/ | ||
| 1039 | 16 | PetscErrorCode NEPGetRefine(NEP nep,NEPRefine *refine,PetscInt *npart,PetscReal *tol,PetscInt *its,NEPRefineScheme *scheme) | |
| 1040 | { | ||
| 1041 |
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16 | PetscFunctionBegin; |
| 1042 |
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16 | PetscValidHeaderSpecific(nep,NEP_CLASSID,1); |
| 1043 |
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16 | if (refine) *refine = nep->refine; |
| 1044 |
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16 | if (npart) *npart = nep->npart; |
| 1045 |
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16 | if (tol) *tol = nep->rtol; |
| 1046 |
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16 | if (its) *its = nep->rits; |
| 1047 |
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16 | if (scheme) *scheme = nep->scheme; |
| 1048 |
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16 | PetscFunctionReturn(PETSC_SUCCESS); |
| 1049 | } | ||
| 1050 | |||
| 1051 | /*@ | ||
| 1052 | NEPSetOptionsPrefix - Sets the prefix used for searching for all | ||
| 1053 | NEP options in the database. | ||
| 1054 | |||
| 1055 | Logically Collective | ||
| 1056 | |||
| 1057 | Input Parameters: | ||
| 1058 | + nep - the nonlinear eigensolver context | ||
| 1059 | - prefix - the prefix string to prepend to all NEP option requests | ||
| 1060 | |||
| 1061 | Notes: | ||
| 1062 | A hyphen (-) must NOT be given at the beginning of the prefix name. | ||
| 1063 | The first character of all runtime options is AUTOMATICALLY the | ||
| 1064 | hyphen. | ||
| 1065 | |||
| 1066 | For example, to distinguish between the runtime options for two | ||
| 1067 | different NEP contexts, one could call | ||
| 1068 | .vb | ||
| 1069 | NEPSetOptionsPrefix(nep1,"neig1_") | ||
| 1070 | NEPSetOptionsPrefix(nep2,"neig2_") | ||
| 1071 | .ve | ||
| 1072 | |||
| 1073 | Level: advanced | ||
| 1074 | |||
| 1075 | .seealso: NEPAppendOptionsPrefix(), NEPGetOptionsPrefix() | ||
| 1076 | @*/ | ||
| 1077 | 24 | PetscErrorCode NEPSetOptionsPrefix(NEP nep,const char *prefix) | |
| 1078 | { | ||
| 1079 |
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24 | PetscFunctionBegin; |
| 1080 |
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24 | PetscValidHeaderSpecific(nep,NEP_CLASSID,1); |
| 1081 |
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24 | if (!nep->V) PetscCall(NEPGetBV(nep,&nep->V)); |
| 1082 |
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24 | PetscCall(BVSetOptionsPrefix(nep->V,prefix)); |
| 1083 |
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24 | if (!nep->ds) PetscCall(NEPGetDS(nep,&nep->ds)); |
| 1084 |
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24 | PetscCall(DSSetOptionsPrefix(nep->ds,prefix)); |
| 1085 |
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24 | if (!nep->rg) PetscCall(NEPGetRG(nep,&nep->rg)); |
| 1086 |
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24 | PetscCall(RGSetOptionsPrefix(nep->rg,prefix)); |
| 1087 |
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24 | PetscCall(PetscObjectSetOptionsPrefix((PetscObject)nep,prefix)); |
| 1088 |
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2 | PetscFunctionReturn(PETSC_SUCCESS); |
| 1089 | } | ||
| 1090 | |||
| 1091 | /*@ | ||
| 1092 | NEPAppendOptionsPrefix - Appends to the prefix used for searching for all | ||
| 1093 | NEP options in the database. | ||
| 1094 | |||
| 1095 | Logically Collective | ||
| 1096 | |||
| 1097 | Input Parameters: | ||
| 1098 | + nep - the nonlinear eigensolver context | ||
| 1099 | - prefix - the prefix string to prepend to all NEP option requests | ||
| 1100 | |||
| 1101 | Notes: | ||
| 1102 | A hyphen (-) must NOT be given at the beginning of the prefix name. | ||
| 1103 | The first character of all runtime options is AUTOMATICALLY the hyphen. | ||
| 1104 | |||
| 1105 | Level: advanced | ||
| 1106 | |||
| 1107 | .seealso: NEPSetOptionsPrefix(), NEPGetOptionsPrefix() | ||
| 1108 | @*/ | ||
| 1109 | 10 | PetscErrorCode NEPAppendOptionsPrefix(NEP nep,const char *prefix) | |
| 1110 | { | ||
| 1111 |
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10 | PetscFunctionBegin; |
| 1112 |
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10 | PetscValidHeaderSpecific(nep,NEP_CLASSID,1); |
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10 | if (!nep->V) PetscCall(NEPGetBV(nep,&nep->V)); |
| 1114 |
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10 | PetscCall(BVAppendOptionsPrefix(nep->V,prefix)); |
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10 | if (!nep->ds) PetscCall(NEPGetDS(nep,&nep->ds)); |
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10 | PetscCall(DSAppendOptionsPrefix(nep->ds,prefix)); |
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10 | if (!nep->rg) PetscCall(NEPGetRG(nep,&nep->rg)); |
| 1118 |
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10 | PetscCall(RGAppendOptionsPrefix(nep->rg,prefix)); |
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10 | PetscCall(PetscObjectAppendOptionsPrefix((PetscObject)nep,prefix)); |
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2 | PetscFunctionReturn(PETSC_SUCCESS); |
| 1121 | } | ||
| 1122 | |||
| 1123 | /*@ | ||
| 1124 | NEPGetOptionsPrefix - Gets the prefix used for searching for all | ||
| 1125 | NEP options in the database. | ||
| 1126 | |||
| 1127 | Not Collective | ||
| 1128 | |||
| 1129 | Input Parameters: | ||
| 1130 | . nep - the nonlinear eigensolver context | ||
| 1131 | |||
| 1132 | Output Parameters: | ||
| 1133 | . prefix - pointer to the prefix string used is returned | ||
| 1134 | |||
| 1135 | Note: | ||
| 1136 | On the Fortran side, the user should pass in a string 'prefix' of | ||
| 1137 | sufficient length to hold the prefix. | ||
| 1138 | |||
| 1139 | Level: advanced | ||
| 1140 | |||
| 1141 | .seealso: NEPSetOptionsPrefix(), NEPAppendOptionsPrefix() | ||
| 1142 | @*/ | ||
| 1143 | 31 | PetscErrorCode NEPGetOptionsPrefix(NEP nep,const char *prefix[]) | |
| 1144 | { | ||
| 1145 |
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31 | PetscFunctionBegin; |
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31 | PetscValidHeaderSpecific(nep,NEP_CLASSID,1); |
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31 | PetscAssertPointer(prefix,2); |
| 1148 |
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31 | PetscCall(PetscObjectGetOptionsPrefix((PetscObject)nep,prefix)); |
| 1149 |
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2 | PetscFunctionReturn(PETSC_SUCCESS); |
| 1150 | } | ||
| 1151 |