| 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 | EPS routines related to options that can be set via the command-line | ||
| 12 | or procedurally. | ||
| 13 | */ | ||
| 14 | |||
| 15 | #include <slepc/private/epsimpl.h> /*I "slepceps.h" I*/ | ||
| 16 | #include <petscdraw.h> | ||
| 17 | |||
| 18 | /*@C | ||
| 19 | EPSMonitorSetFromOptions - Sets a monitor function and viewer appropriate for the type | ||
| 20 | indicated by the user. | ||
| 21 | |||
| 22 | Collective | ||
| 23 | |||
| 24 | Input Parameters: | ||
| 25 | + eps - the 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: EPSMonitorSet(), EPSSetTrackAll() | ||
| 34 | @*/ | ||
| 35 | 19026 | PetscErrorCode EPSMonitorSetFromOptions(EPS eps,const char opt[],const char name[],void *ctx,PetscBool trackall) | |
| 36 | { | ||
| 37 | 19026 | PetscErrorCode (*mfunc)(EPS,PetscInt,PetscInt,PetscScalar*,PetscScalar*,PetscReal*,PetscInt,void*); | |
| 38 | 19026 | PetscErrorCode (*cfunc)(PetscViewer,PetscViewerFormat,void*,PetscViewerAndFormat**); | |
| 39 | 19026 | PetscErrorCode (*dfunc)(PetscViewerAndFormat**); | |
| 40 | 19026 | PetscViewerAndFormat *vf; | |
| 41 | 19026 | PetscViewer viewer; | |
| 42 | 19026 | PetscViewerFormat format; | |
| 43 | 19026 | PetscViewerType vtype; | |
| 44 | 19026 | char key[PETSC_MAX_PATH_LEN]; | |
| 45 | 19026 | PetscBool flg; | |
| 46 | |||
| 47 |
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19026 | PetscFunctionBegin; |
| 48 |
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19026 | PetscCall(PetscOptionsCreateViewer(PetscObjectComm((PetscObject)eps),((PetscObject)eps)->options,((PetscObject)eps)->prefix,opt,&viewer,&format,&flg)); |
| 49 |
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19026 | if (!flg) PetscFunctionReturn(PETSC_SUCCESS); |
| 50 | |||
| 51 |
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74 | PetscCall(PetscViewerGetType(viewer,&vtype)); |
| 52 |
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74 | PetscCall(SlepcMonitorMakeKey_Internal(name,vtype,format,key)); |
| 53 |
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74 | PetscCall(PetscFunctionListFind(EPSMonitorList,key,&mfunc)); |
| 54 |
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74 | PetscCheck(mfunc,PetscObjectComm((PetscObject)eps),PETSC_ERR_SUP,"Specified viewer and format not supported"); |
| 55 |
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74 | PetscCall(PetscFunctionListFind(EPSMonitorCreateList,key,&cfunc)); |
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74 | PetscCall(PetscFunctionListFind(EPSMonitorDestroyList,key,&dfunc)); |
| 57 |
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74 | if (!cfunc) cfunc = PetscViewerAndFormatCreate_Internal; |
| 58 |
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74 | if (!dfunc) dfunc = PetscViewerAndFormatDestroy; |
| 59 | |||
| 60 |
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74 | PetscCall((*cfunc)(viewer,format,ctx,&vf)); |
| 61 |
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74 | PetscCall(PetscViewerDestroy(&viewer)); |
| 62 |
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74 | PetscCall(EPSMonitorSet(eps,mfunc,vf,(PetscCtxDestroyFn*)dfunc)); |
| 63 |
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74 | if (trackall) PetscCall(EPSSetTrackAll(eps,PETSC_TRUE)); |
| 64 |
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13 | PetscFunctionReturn(PETSC_SUCCESS); |
| 65 | } | ||
| 66 | |||
| 67 | /*@ | ||
| 68 | EPSSetFromOptions - Sets EPS options from the options database. | ||
| 69 | This routine must be called before EPSSetUp() if the user is to be | ||
| 70 | allowed to set the solver type. | ||
| 71 | |||
| 72 | Collective | ||
| 73 | |||
| 74 | Input Parameters: | ||
| 75 | . eps - the eigensolver context | ||
| 76 | |||
| 77 | Notes: | ||
| 78 | To see all options, run your program with the -help option. | ||
| 79 | |||
| 80 | Level: beginner | ||
| 81 | |||
| 82 | .seealso: EPSSetOptionsPrefix() | ||
| 83 | @*/ | ||
| 84 | 6342 | PetscErrorCode EPSSetFromOptions(EPS eps) | |
| 85 | { | ||
| 86 | 6342 | char type[256]; | |
| 87 | 6342 | PetscBool set,flg,flg1,flg2,flg3,bval; | |
| 88 | 6342 | PetscReal r,array[2]={0,0}; | |
| 89 | 6342 | PetscScalar s; | |
| 90 | 6342 | PetscInt i,j,k; | |
| 91 | 6342 | EPSBalance bal; | |
| 92 | |||
| 93 |
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6342 | PetscFunctionBegin; |
| 94 |
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6342 | PetscValidHeaderSpecific(eps,EPS_CLASSID,1); |
| 95 |
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6342 | PetscCall(EPSRegisterAll()); |
| 96 |
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19026 | PetscObjectOptionsBegin((PetscObject)eps); |
| 97 |
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6975 | PetscCall(PetscOptionsFList("-eps_type","Eigensolver method","EPSSetType",EPSList,(char*)(((PetscObject)eps)->type_name?((PetscObject)eps)->type_name:EPSKRYLOVSCHUR),type,sizeof(type),&flg)); |
| 98 |
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6342 | if (flg) PetscCall(EPSSetType(eps,type)); |
| 99 |
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3840 | else if (!((PetscObject)eps)->type_name) PetscCall(EPSSetType(eps,EPSKRYLOVSCHUR)); |
| 100 | |||
| 101 |
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6342 | PetscCall(PetscOptionsBoolGroupBegin("-eps_hermitian","Hermitian eigenvalue problem","EPSSetProblemType",&flg)); |
| 102 |
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6342 | if (flg) PetscCall(EPSSetProblemType(eps,EPS_HEP)); |
| 103 |
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6342 | PetscCall(PetscOptionsBoolGroup("-eps_gen_hermitian","Generalized Hermitian eigenvalue problem","EPSSetProblemType",&flg)); |
| 104 |
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6342 | if (flg) PetscCall(EPSSetProblemType(eps,EPS_GHEP)); |
| 105 |
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6342 | PetscCall(PetscOptionsBoolGroup("-eps_non_hermitian","Non-Hermitian eigenvalue problem","EPSSetProblemType",&flg)); |
| 106 |
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6342 | if (flg) PetscCall(EPSSetProblemType(eps,EPS_NHEP)); |
| 107 |
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6342 | PetscCall(PetscOptionsBoolGroup("-eps_gen_non_hermitian","Generalized non-Hermitian eigenvalue problem","EPSSetProblemType",&flg)); |
| 108 |
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6342 | if (flg) PetscCall(EPSSetProblemType(eps,EPS_GNHEP)); |
| 109 |
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6342 | PetscCall(PetscOptionsBoolGroup("-eps_pos_gen_non_hermitian","Generalized non-Hermitian eigenvalue problem with positive semi-definite B","EPSSetProblemType",&flg)); |
| 110 |
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6342 | if (flg) PetscCall(EPSSetProblemType(eps,EPS_PGNHEP)); |
| 111 |
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6342 | PetscCall(PetscOptionsBoolGroup("-eps_gen_indefinite","Generalized Hermitian-indefinite eigenvalue problem","EPSSetProblemType",&flg)); |
| 112 |
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6342 | if (flg) PetscCall(EPSSetProblemType(eps,EPS_GHIEP)); |
| 113 |
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6342 | PetscCall(PetscOptionsBoolGroup("-eps_bse","Structured Bethe-Salpeter eigenvalue problem","EPSSetProblemType",&flg)); |
| 114 |
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6342 | if (flg) PetscCall(EPSSetProblemType(eps,EPS_BSE)); |
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6342 | PetscCall(PetscOptionsBoolGroupEnd("-eps_hamiltonian","Structured Hamiltonian eigenvalue problem","EPSSetProblemType",&flg)); |
| 116 |
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6342 | if (flg) PetscCall(EPSSetProblemType(eps,EPS_HAMILT)); |
| 117 | |||
| 118 |
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6342 | PetscCall(PetscOptionsBoolGroupBegin("-eps_ritz","Rayleigh-Ritz extraction","EPSSetExtraction",&flg)); |
| 119 |
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6342 | if (flg) PetscCall(EPSSetExtraction(eps,EPS_RITZ)); |
| 120 |
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6342 | PetscCall(PetscOptionsBoolGroup("-eps_harmonic","Harmonic Ritz extraction","EPSSetExtraction",&flg)); |
| 121 |
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6342 | if (flg) PetscCall(EPSSetExtraction(eps,EPS_HARMONIC)); |
| 122 |
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6342 | PetscCall(PetscOptionsBoolGroup("-eps_harmonic_relative","Relative harmonic Ritz extraction","EPSSetExtraction",&flg)); |
| 123 |
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6342 | if (flg) PetscCall(EPSSetExtraction(eps,EPS_HARMONIC_RELATIVE)); |
| 124 |
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6342 | PetscCall(PetscOptionsBoolGroup("-eps_harmonic_right","Right harmonic Ritz extraction","EPSSetExtraction",&flg)); |
| 125 |
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6342 | if (flg) PetscCall(EPSSetExtraction(eps,EPS_HARMONIC_RIGHT)); |
| 126 |
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6342 | PetscCall(PetscOptionsBoolGroup("-eps_harmonic_largest","Largest harmonic Ritz extraction","EPSSetExtraction",&flg)); |
| 127 |
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6342 | if (flg) PetscCall(EPSSetExtraction(eps,EPS_HARMONIC_LARGEST)); |
| 128 |
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6342 | PetscCall(PetscOptionsBoolGroup("-eps_refined","Refined Ritz extraction","EPSSetExtraction",&flg)); |
| 129 |
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6342 | if (flg) PetscCall(EPSSetExtraction(eps,EPS_REFINED)); |
| 130 |
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6342 | PetscCall(PetscOptionsBoolGroupEnd("-eps_refined_harmonic","Refined harmonic Ritz extraction","EPSSetExtraction",&flg)); |
| 131 |
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6342 | if (flg) PetscCall(EPSSetExtraction(eps,EPS_REFINED_HARMONIC)); |
| 132 | |||
| 133 | 6342 | bal = eps->balance; | |
| 134 |
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6342 | PetscCall(PetscOptionsEnum("-eps_balance","Balancing method","EPSSetBalance",EPSBalanceTypes,(PetscEnum)bal,(PetscEnum*)&bal,&flg1)); |
| 135 | 6342 | j = eps->balance_its; | |
| 136 |
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6342 | PetscCall(PetscOptionsInt("-eps_balance_its","Number of iterations in balancing","EPSSetBalance",eps->balance_its,&j,&flg2)); |
| 137 | 6342 | r = eps->balance_cutoff; | |
| 138 |
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6342 | PetscCall(PetscOptionsReal("-eps_balance_cutoff","Cutoff value in balancing","EPSSetBalance",eps->balance_cutoff,&r,&flg3)); |
| 139 |
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6342 | if (flg1 || flg2 || flg3) PetscCall(EPSSetBalance(eps,bal,j,r)); |
| 140 | |||
| 141 | 6342 | i = eps->max_it; | |
| 142 |
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6342 | PetscCall(PetscOptionsInt("-eps_max_it","Maximum number of iterations","EPSSetTolerances",eps->max_it,&i,&flg1)); |
| 143 | 6342 | r = eps->tol; | |
| 144 |
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10676 | PetscCall(PetscOptionsReal("-eps_tol","Tolerance","EPSSetTolerances",SlepcDefaultTol(eps->tol),&r,&flg2)); |
| 145 |
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6342 | if (flg1 || flg2) PetscCall(EPSSetTolerances(eps,r,i)); |
| 146 | |||
| 147 | 6342 | r = eps->thres; | |
| 148 |
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|
6342 | PetscCall(PetscOptionsReal("-eps_threshold_absolute","Absolute threshold","EPSSetThreshold",r,&r,&flg)); |
| 149 |
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|
6342 | if (flg) PetscCall(EPSSetThreshold(eps,r,PETSC_FALSE)); |
| 150 |
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|
6342 | PetscCall(PetscOptionsReal("-eps_threshold_relative","Relative threshold","EPSSetThreshold",r,&r,&flg)); |
| 151 |
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|
6342 | if (flg) PetscCall(EPSSetThreshold(eps,r,PETSC_TRUE)); |
| 152 | |||
| 153 |
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|
6342 | PetscCall(PetscOptionsBoolGroupBegin("-eps_conv_rel","Relative error convergence test","EPSSetConvergenceTest",&flg)); |
| 154 |
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|
6342 | if (flg) PetscCall(EPSSetConvergenceTest(eps,EPS_CONV_REL)); |
| 155 |
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|
6342 | PetscCall(PetscOptionsBoolGroup("-eps_conv_norm","Convergence test relative to the eigenvalue and the matrix norms","EPSSetConvergenceTest",&flg)); |
| 156 |
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|
6342 | if (flg) PetscCall(EPSSetConvergenceTest(eps,EPS_CONV_NORM)); |
| 157 |
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|
6342 | PetscCall(PetscOptionsBoolGroup("-eps_conv_abs","Absolute error convergence test","EPSSetConvergenceTest",&flg)); |
| 158 |
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|
6342 | if (flg) PetscCall(EPSSetConvergenceTest(eps,EPS_CONV_ABS)); |
| 159 |
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6342 | PetscCall(PetscOptionsBoolGroupEnd("-eps_conv_user","User-defined convergence test","EPSSetConvergenceTest",&flg)); |
| 160 |
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6342 | if (flg) PetscCall(EPSSetConvergenceTest(eps,EPS_CONV_USER)); |
| 161 | |||
| 162 |
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|
6342 | PetscCall(PetscOptionsBoolGroupBegin("-eps_stop_basic","Stop iteration if all eigenvalues converged or max_it reached","EPSSetStoppingTest",&flg)); |
| 163 |
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6342 | if (flg) PetscCall(EPSSetStoppingTest(eps,EPS_STOP_BASIC)); |
| 164 |
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|
6342 | PetscCall(PetscOptionsBoolGroup("-eps_stop_threshold","Stop iteration if a converged eigenvalue is below/above the threshold","EPSSetStoppingTest",&flg)); |
| 165 |
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6342 | if (flg) PetscCall(EPSSetStoppingTest(eps,EPS_STOP_THRESHOLD)); |
| 166 |
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6342 | PetscCall(PetscOptionsBoolGroupEnd("-eps_stop_user","User-defined stopping test","EPSSetStoppingTest",&flg)); |
| 167 |
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|
6342 | if (flg) PetscCall(EPSSetStoppingTest(eps,EPS_STOP_USER)); |
| 168 | |||
| 169 | 6342 | i = eps->nev; | |
| 170 |
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|
6342 | PetscCall(PetscOptionsInt("-eps_nev","Number of eigenvalues to compute","EPSSetDimensions",eps->nev,&i,&flg1)); |
| 171 |
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6342 | if (!flg1) i = PETSC_CURRENT; |
| 172 | 6342 | j = eps->ncv; | |
| 173 |
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|
6342 | PetscCall(PetscOptionsInt("-eps_ncv","Number of basis vectors","EPSSetDimensions",eps->ncv,&j,&flg2)); |
| 174 | 6342 | k = eps->mpd; | |
| 175 |
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|
6342 | PetscCall(PetscOptionsInt("-eps_mpd","Maximum dimension of projected problem","EPSSetDimensions",eps->mpd,&k,&flg3)); |
| 176 |
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|
6342 | if (flg1 || flg2 || flg3) PetscCall(EPSSetDimensions(eps,i,j,k)); |
| 177 | |||
| 178 |
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6342 | PetscCall(PetscOptionsBoolGroupBegin("-eps_largest_magnitude","Compute largest eigenvalues in magnitude","EPSSetWhichEigenpairs",&flg)); |
| 179 |
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|
6342 | if (flg) PetscCall(EPSSetWhichEigenpairs(eps,EPS_LARGEST_MAGNITUDE)); |
| 180 |
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6342 | PetscCall(PetscOptionsBoolGroup("-eps_smallest_magnitude","Compute smallest eigenvalues in magnitude","EPSSetWhichEigenpairs",&flg)); |
| 181 |
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|
6342 | if (flg) PetscCall(EPSSetWhichEigenpairs(eps,EPS_SMALLEST_MAGNITUDE)); |
| 182 |
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6342 | PetscCall(PetscOptionsBoolGroup("-eps_largest_real","Compute eigenvalues with largest real parts","EPSSetWhichEigenpairs",&flg)); |
| 183 |
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6342 | if (flg) PetscCall(EPSSetWhichEigenpairs(eps,EPS_LARGEST_REAL)); |
| 184 |
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6342 | PetscCall(PetscOptionsBoolGroup("-eps_smallest_real","Compute eigenvalues with smallest real parts","EPSSetWhichEigenpairs",&flg)); |
| 185 |
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6342 | if (flg) PetscCall(EPSSetWhichEigenpairs(eps,EPS_SMALLEST_REAL)); |
| 186 |
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6342 | PetscCall(PetscOptionsBoolGroup("-eps_largest_imaginary","Compute eigenvalues with largest imaginary parts","EPSSetWhichEigenpairs",&flg)); |
| 187 |
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6342 | if (flg) PetscCall(EPSSetWhichEigenpairs(eps,EPS_LARGEST_IMAGINARY)); |
| 188 |
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6342 | PetscCall(PetscOptionsBoolGroup("-eps_smallest_imaginary","Compute eigenvalues with smallest imaginary parts","EPSSetWhichEigenpairs",&flg)); |
| 189 |
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6342 | if (flg) PetscCall(EPSSetWhichEigenpairs(eps,EPS_SMALLEST_IMAGINARY)); |
| 190 |
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6342 | PetscCall(PetscOptionsBoolGroup("-eps_target_magnitude","Compute eigenvalues closest to target","EPSSetWhichEigenpairs",&flg)); |
| 191 |
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6342 | if (flg) PetscCall(EPSSetWhichEigenpairs(eps,EPS_TARGET_MAGNITUDE)); |
| 192 |
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6342 | PetscCall(PetscOptionsBoolGroup("-eps_target_real","Compute eigenvalues with real parts closest to target","EPSSetWhichEigenpairs",&flg)); |
| 193 |
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6342 | if (flg) PetscCall(EPSSetWhichEigenpairs(eps,EPS_TARGET_REAL)); |
| 194 |
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6342 | PetscCall(PetscOptionsBoolGroup("-eps_target_imaginary","Compute eigenvalues with imaginary parts closest to target","EPSSetWhichEigenpairs",&flg)); |
| 195 |
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6342 | if (flg) PetscCall(EPSSetWhichEigenpairs(eps,EPS_TARGET_IMAGINARY)); |
| 196 |
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6342 | PetscCall(PetscOptionsBoolGroupEnd("-eps_all","Compute all eigenvalues in an interval or a region","EPSSetWhichEigenpairs",&flg)); |
| 197 |
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6342 | if (flg) PetscCall(EPSSetWhichEigenpairs(eps,EPS_ALL)); |
| 198 | |||
| 199 |
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6342 | PetscCall(PetscOptionsScalar("-eps_target","Value of the target","EPSSetTarget",eps->target,&s,&flg)); |
| 200 |
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6342 | if (flg) { |
| 201 |
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|
430 | if (eps->which!=EPS_TARGET_REAL && eps->which!=EPS_TARGET_IMAGINARY) PetscCall(EPSSetWhichEigenpairs(eps,EPS_TARGET_MAGNITUDE)); |
| 202 |
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|
430 | PetscCall(EPSSetTarget(eps,s)); |
| 203 | } | ||
| 204 | |||
| 205 | 6342 | k = 2; | |
| 206 |
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6342 | PetscCall(PetscOptionsRealArray("-eps_interval","Computational interval (two real values separated with a comma without spaces)","EPSSetInterval",array,&k,&flg)); |
| 207 |
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6342 | if (flg) { |
| 208 |
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195 | PetscCheck(k>1,PetscObjectComm((PetscObject)eps),PETSC_ERR_ARG_SIZ,"Must pass two values in -eps_interval (comma-separated without spaces)"); |
| 209 |
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195 | PetscCall(EPSSetWhichEigenpairs(eps,EPS_ALL)); |
| 210 |
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195 | PetscCall(EPSSetInterval(eps,array[0],array[1])); |
| 211 | } | ||
| 212 | |||
| 213 |
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|
6342 | PetscCall(PetscOptionsBool("-eps_true_residual","Compute true residuals explicitly","EPSSetTrueResidual",eps->trueres,&eps->trueres,NULL)); |
| 214 |
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|
6342 | PetscCall(PetscOptionsBool("-eps_purify","Postprocess eigenvectors for purification","EPSSetPurify",eps->purify,&bval,&flg)); |
| 215 |
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|
6342 | if (flg) PetscCall(EPSSetPurify(eps,bval)); |
| 216 |
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|
6342 | PetscCall(PetscOptionsBool("-eps_two_sided","Use two-sided variant (to compute left eigenvectors)","EPSSetTwoSided",eps->twosided,&bval,&flg)); |
| 217 |
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|
6342 | if (flg) PetscCall(EPSSetTwoSided(eps,bval)); |
| 218 | |||
| 219 | /* -----------------------------------------------------------------------*/ | ||
| 220 | /* | ||
| 221 | Cancels all monitors hardwired into code before call to EPSSetFromOptions() | ||
| 222 | */ | ||
| 223 |
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6342 | PetscCall(PetscOptionsBool("-eps_monitor_cancel","Remove any hardwired monitor routines","EPSMonitorCancel",PETSC_FALSE,&flg,&set)); |
| 224 |
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6342 | if (set && flg) PetscCall(EPSMonitorCancel(eps)); |
| 225 |
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6342 | PetscCall(EPSMonitorSetFromOptions(eps,"-eps_monitor","first_approximation",NULL,PETSC_FALSE)); |
| 226 |
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6342 | PetscCall(EPSMonitorSetFromOptions(eps,"-eps_monitor_all","all_approximations",NULL,PETSC_TRUE)); |
| 227 |
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6342 | PetscCall(EPSMonitorSetFromOptions(eps,"-eps_monitor_conv","convergence_history",NULL,PETSC_FALSE)); |
| 228 | |||
| 229 | /* -----------------------------------------------------------------------*/ | ||
| 230 |
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6342 | PetscCall(PetscOptionsName("-eps_view","Print detailed information on solver used","EPSView",&set)); |
| 231 |
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|
6342 | PetscCall(PetscOptionsName("-eps_view_vectors","View computed eigenvectors","EPSVectorsView",&set)); |
| 232 |
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6342 | PetscCall(PetscOptionsName("-eps_view_values","View computed eigenvalues","EPSValuesView",&set)); |
| 233 |
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6342 | PetscCall(PetscOptionsName("-eps_converged_reason","Print reason for convergence, and number of iterations","EPSConvergedReasonView",&set)); |
| 234 |
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|
6342 | PetscCall(PetscOptionsName("-eps_error_absolute","Print absolute errors of each eigenpair","EPSErrorView",&set)); |
| 235 |
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6342 | PetscCall(PetscOptionsName("-eps_error_relative","Print relative errors of each eigenpair","EPSErrorView",&set)); |
| 236 |
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|
6342 | PetscCall(PetscOptionsName("-eps_error_backward","Print backward errors of each eigenpair","EPSErrorView",&set)); |
| 237 | |||
| 238 |
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6342 | PetscTryTypeMethod(eps,setfromoptions,PetscOptionsObject); |
| 239 |
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6342 | PetscCall(PetscObjectProcessOptionsHandlers((PetscObject)eps,PetscOptionsObject)); |
| 240 |
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6342 | PetscOptionsEnd(); |
| 241 | |||
| 242 |
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6342 | if (!eps->V) PetscCall(EPSGetBV(eps,&eps->V)); |
| 243 |
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6342 | PetscCall(BVSetFromOptions(eps->V)); |
| 244 |
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6342 | if (!eps->rg) PetscCall(EPSGetRG(eps,&eps->rg)); |
| 245 |
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6342 | PetscCall(RGSetFromOptions(eps->rg)); |
| 246 |
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6342 | if (eps->useds) { |
| 247 |
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5842 | if (!eps->ds) PetscCall(EPSGetDS(eps,&eps->ds)); |
| 248 |
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5842 | PetscCall(EPSSetDSType(eps)); |
| 249 |
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5842 | PetscCall(DSSetFromOptions(eps->ds)); |
| 250 | } | ||
| 251 |
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6342 | if (!eps->st) PetscCall(EPSGetST(eps,&eps->st)); |
| 252 |
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6342 | PetscCall(EPSSetDefaultST(eps)); |
| 253 |
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6342 | PetscCall(STSetFromOptions(eps->st)); |
| 254 |
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1242 | PetscFunctionReturn(PETSC_SUCCESS); |
| 255 | } | ||
| 256 | |||
| 257 | /*@ | ||
| 258 | EPSGetTolerances - Gets the tolerance and maximum iteration count used | ||
| 259 | by the EPS convergence tests. | ||
| 260 | |||
| 261 | Not Collective | ||
| 262 | |||
| 263 | Input Parameter: | ||
| 264 | . eps - the eigensolver context | ||
| 265 | |||
| 266 | Output Parameters: | ||
| 267 | + tol - the convergence tolerance | ||
| 268 | - maxits - maximum number of iterations | ||
| 269 | |||
| 270 | Notes: | ||
| 271 | The user can specify NULL for any parameter that is not needed. | ||
| 272 | |||
| 273 | Level: intermediate | ||
| 274 | |||
| 275 | .seealso: EPSSetTolerances() | ||
| 276 | @*/ | ||
| 277 | 2816 | PetscErrorCode EPSGetTolerances(EPS eps,PetscReal *tol,PetscInt *maxits) | |
| 278 | { | ||
| 279 |
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2816 | PetscFunctionBegin; |
| 280 |
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2816 | PetscValidHeaderSpecific(eps,EPS_CLASSID,1); |
| 281 |
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2816 | if (tol) *tol = eps->tol; |
| 282 |
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2816 | if (maxits) *maxits = eps->max_it; |
| 283 |
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2816 | PetscFunctionReturn(PETSC_SUCCESS); |
| 284 | } | ||
| 285 | |||
| 286 | /*@ | ||
| 287 | EPSSetTolerances - Sets the tolerance and maximum iteration count used | ||
| 288 | by the EPS convergence tests. | ||
| 289 | |||
| 290 | Logically Collective | ||
| 291 | |||
| 292 | Input Parameters: | ||
| 293 | + eps - the eigensolver context | ||
| 294 | . tol - the convergence tolerance | ||
| 295 | - maxits - maximum number of iterations to use | ||
| 296 | |||
| 297 | Options Database Keys: | ||
| 298 | + -eps_tol <tol> - Sets the convergence tolerance | ||
| 299 | - -eps_max_it <maxits> - Sets the maximum number of iterations allowed | ||
| 300 | |||
| 301 | Notes: | ||
| 302 | Use PETSC_CURRENT to retain the current value of any of the parameters. | ||
| 303 | Use PETSC_DETERMINE for either argument to assign a default value computed | ||
| 304 | internally (may be different in each solver). | ||
| 305 | For maxits use PETSC_UMLIMITED to indicate there is no upper bound on this value. | ||
| 306 | |||
| 307 | Level: intermediate | ||
| 308 | |||
| 309 | .seealso: EPSGetTolerances() | ||
| 310 | @*/ | ||
| 311 | 5572 | PetscErrorCode EPSSetTolerances(EPS eps,PetscReal tol,PetscInt maxits) | |
| 312 | { | ||
| 313 |
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5572 | PetscFunctionBegin; |
| 314 |
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5572 | PetscValidHeaderSpecific(eps,EPS_CLASSID,1); |
| 315 |
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5572 | PetscValidLogicalCollectiveReal(eps,tol,2); |
| 316 |
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5572 | PetscValidLogicalCollectiveInt(eps,maxits,3); |
| 317 |
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5572 | if (tol == (PetscReal)PETSC_DETERMINE) { |
| 318 | 143 | eps->tol = PETSC_DETERMINE; | |
| 319 | 143 | eps->state = EPS_STATE_INITIAL; | |
| 320 |
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5429 | } else if (tol != (PetscReal)PETSC_CURRENT) { |
| 321 |
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5429 | PetscCheck(tol>0.0,PetscObjectComm((PetscObject)eps),PETSC_ERR_ARG_OUTOFRANGE,"Illegal value of tol. Must be > 0"); |
| 322 | 5429 | eps->tol = tol; | |
| 323 | } | ||
| 324 |
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5572 | if (maxits == PETSC_DETERMINE) { |
| 325 | 1448 | eps->max_it = PETSC_DETERMINE; | |
| 326 | 1448 | eps->state = EPS_STATE_INITIAL; | |
| 327 |
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4124 | } else if (maxits == PETSC_UNLIMITED) { |
| 328 | ✗ | eps->max_it = PETSC_INT_MAX; | |
| 329 |
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4124 | } else if (maxits != PETSC_CURRENT) { |
| 330 |
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2132 | PetscCheck(maxits>0,PetscObjectComm((PetscObject)eps),PETSC_ERR_ARG_OUTOFRANGE,"Illegal value of maxits. Must be > 0"); |
| 331 | 2132 | eps->max_it = maxits; | |
| 332 | } | ||
| 333 |
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1101 | PetscFunctionReturn(PETSC_SUCCESS); |
| 334 | } | ||
| 335 | |||
| 336 | /*@ | ||
| 337 | EPSGetDimensions - Gets the number of eigenvalues to compute | ||
| 338 | and the dimension of the subspace. | ||
| 339 | |||
| 340 | Not Collective | ||
| 341 | |||
| 342 | Input Parameter: | ||
| 343 | . eps - the eigensolver context | ||
| 344 | |||
| 345 | Output Parameters: | ||
| 346 | + nev - number of eigenvalues to compute | ||
| 347 | . ncv - the maximum dimension of the subspace to be used by the solver | ||
| 348 | - mpd - the maximum dimension allowed for the projected problem | ||
| 349 | |||
| 350 | Level: intermediate | ||
| 351 | |||
| 352 | .seealso: EPSSetDimensions() | ||
| 353 | @*/ | ||
| 354 | 4648 | PetscErrorCode EPSGetDimensions(EPS eps,PetscInt *nev,PetscInt *ncv,PetscInt *mpd) | |
| 355 | { | ||
| 356 |
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4648 | PetscFunctionBegin; |
| 357 |
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4648 | PetscValidHeaderSpecific(eps,EPS_CLASSID,1); |
| 358 |
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6830 | if (nev) *nev = eps->nev? eps->nev: 1; |
| 359 |
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4648 | if (ncv) *ncv = eps->ncv; |
| 360 |
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4648 | if (mpd) *mpd = eps->mpd; |
| 361 |
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4648 | PetscFunctionReturn(PETSC_SUCCESS); |
| 362 | } | ||
| 363 | |||
| 364 | /*@ | ||
| 365 | EPSSetDimensions - Sets the number of eigenvalues to compute | ||
| 366 | and the dimension of the subspace. | ||
| 367 | |||
| 368 | Logically Collective | ||
| 369 | |||
| 370 | Input Parameters: | ||
| 371 | + eps - the eigensolver context | ||
| 372 | . nev - number of eigenvalues to compute | ||
| 373 | . ncv - the maximum dimension of the subspace to be used by the solver | ||
| 374 | - mpd - the maximum dimension allowed for the projected problem | ||
| 375 | |||
| 376 | Options Database Keys: | ||
| 377 | + -eps_nev <nev> - Sets the number of eigenvalues | ||
| 378 | . -eps_ncv <ncv> - Sets the dimension of the subspace | ||
| 379 | - -eps_mpd <mpd> - Sets the maximum projected dimension | ||
| 380 | |||
| 381 | Notes: | ||
| 382 | Use PETSC_DETERMINE for ncv and mpd to assign a reasonably good value, which is | ||
| 383 | dependent on the solution method. For any of the arguments, use PETSC_CURRENT | ||
| 384 | to preserve the current value. | ||
| 385 | |||
| 386 | The parameters ncv and mpd are intimately related, so that the user is advised | ||
| 387 | to set one of them at most. Normal usage is that | ||
| 388 | (a) in cases where nev is small, the user sets ncv (a reasonable default is 2*nev); and | ||
| 389 | (b) in cases where nev is large, the user sets mpd. | ||
| 390 | |||
| 391 | The value of ncv should always be between nev and (nev+mpd), typically | ||
| 392 | ncv=nev+mpd. If nev is not too large, mpd=nev is a reasonable choice, otherwise | ||
| 393 | a smaller value should be used. | ||
| 394 | |||
| 395 | When computing all eigenvalues in an interval, see EPSSetInterval(), these | ||
| 396 | parameters lose relevance, and tuning must be done with | ||
| 397 | EPSKrylovSchurSetDimensions(). | ||
| 398 | |||
| 399 | Level: intermediate | ||
| 400 | |||
| 401 | .seealso: EPSGetDimensions(), EPSSetInterval(), EPSKrylovSchurSetDimensions() | ||
| 402 | @*/ | ||
| 403 | 5966 | PetscErrorCode EPSSetDimensions(EPS eps,PetscInt nev,PetscInt ncv,PetscInt mpd) | |
| 404 | { | ||
| 405 |
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5966 | PetscFunctionBegin; |
| 406 |
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5966 | PetscValidHeaderSpecific(eps,EPS_CLASSID,1); |
| 407 |
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5966 | PetscValidLogicalCollectiveInt(eps,nev,2); |
| 408 |
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5966 | PetscValidLogicalCollectiveInt(eps,ncv,3); |
| 409 |
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5966 | PetscValidLogicalCollectiveInt(eps,mpd,4); |
| 410 |
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5966 | if (nev != PETSC_CURRENT) { |
| 411 |
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5709 | PetscCheck(nev>0,PetscObjectComm((PetscObject)eps),PETSC_ERR_ARG_OUTOFRANGE,"Illegal value of nev. Must be > 0"); |
| 412 | 5709 | eps->nev = nev; | |
| 413 | } | ||
| 414 |
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5966 | if (ncv == PETSC_DETERMINE) { |
| 415 | 3793 | eps->ncv = PETSC_DETERMINE; | |
| 416 |
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2173 | } else if (ncv != PETSC_CURRENT) { |
| 417 |
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2136 | PetscCheck(ncv>0,PetscObjectComm((PetscObject)eps),PETSC_ERR_ARG_OUTOFRANGE,"Illegal value of ncv. Must be > 0"); |
| 418 | 2136 | eps->ncv = ncv; | |
| 419 | } | ||
| 420 |
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5966 | if (mpd == PETSC_DETERMINE) { |
| 421 | 5380 | eps->mpd = PETSC_DETERMINE; | |
| 422 |
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586 | } else if (mpd != PETSC_CURRENT) { |
| 423 |
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543 | PetscCheck(mpd>0,PetscObjectComm((PetscObject)eps),PETSC_ERR_ARG_OUTOFRANGE,"Illegal value of mpd. Must be > 0"); |
| 424 | 543 | eps->mpd = mpd; | |
| 425 | } | ||
| 426 | 5966 | eps->state = EPS_STATE_INITIAL; | |
| 427 |
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5966 | PetscFunctionReturn(PETSC_SUCCESS); |
| 428 | } | ||
| 429 | |||
| 430 | /*@ | ||
| 431 | EPSSetWhichEigenpairs - Specifies which portion of the spectrum is | ||
| 432 | to be sought. | ||
| 433 | |||
| 434 | Logically Collective | ||
| 435 | |||
| 436 | Input Parameters: | ||
| 437 | + eps - eigensolver context obtained from EPSCreate() | ||
| 438 | - which - the portion of the spectrum to be sought | ||
| 439 | |||
| 440 | Options Database Keys: | ||
| 441 | + -eps_largest_magnitude - Sets largest eigenvalues in magnitude | ||
| 442 | . -eps_smallest_magnitude - Sets smallest eigenvalues in magnitude | ||
| 443 | . -eps_largest_real - Sets largest real parts | ||
| 444 | . -eps_smallest_real - Sets smallest real parts | ||
| 445 | . -eps_largest_imaginary - Sets largest imaginary parts | ||
| 446 | . -eps_smallest_imaginary - Sets smallest imaginary parts | ||
| 447 | . -eps_target_magnitude - Sets eigenvalues closest to target | ||
| 448 | . -eps_target_real - Sets real parts closest to target | ||
| 449 | . -eps_target_imaginary - Sets imaginary parts closest to target | ||
| 450 | - -eps_all - Sets all eigenvalues in an interval or region | ||
| 451 | |||
| 452 | Notes: | ||
| 453 | The parameter 'which' can have one of these values | ||
| 454 | |||
| 455 | + EPS_LARGEST_MAGNITUDE - largest eigenvalues in magnitude (default) | ||
| 456 | . EPS_SMALLEST_MAGNITUDE - smallest eigenvalues in magnitude | ||
| 457 | . EPS_LARGEST_REAL - largest real parts | ||
| 458 | . EPS_SMALLEST_REAL - smallest real parts | ||
| 459 | . EPS_LARGEST_IMAGINARY - largest imaginary parts | ||
| 460 | . EPS_SMALLEST_IMAGINARY - smallest imaginary parts | ||
| 461 | . EPS_TARGET_MAGNITUDE - eigenvalues closest to the target (in magnitude) | ||
| 462 | . EPS_TARGET_REAL - eigenvalues with real part closest to target | ||
| 463 | . EPS_TARGET_IMAGINARY - eigenvalues with imaginary part closest to target | ||
| 464 | . EPS_ALL - all eigenvalues contained in a given interval or region | ||
| 465 | - EPS_WHICH_USER - user defined ordering set with EPSSetEigenvalueComparison() | ||
| 466 | |||
| 467 | Not all eigensolvers implemented in EPS account for all the possible values | ||
| 468 | stated above. Also, some values make sense only for certain types of | ||
| 469 | problems. If SLEPc is compiled for real numbers EPS_LARGEST_IMAGINARY | ||
| 470 | and EPS_SMALLEST_IMAGINARY use the absolute value of the imaginary part | ||
| 471 | for eigenvalue selection. | ||
| 472 | |||
| 473 | The target is a scalar value provided with EPSSetTarget(). | ||
| 474 | |||
| 475 | The criterion EPS_TARGET_IMAGINARY is available only in case PETSc and | ||
| 476 | SLEPc have been built with complex scalars. | ||
| 477 | |||
| 478 | EPS_ALL is intended for use in combination with an interval (see | ||
| 479 | EPSSetInterval()), when all eigenvalues within the interval are requested, | ||
| 480 | or in the context of the CISS solver for computing all eigenvalues in a region. | ||
| 481 | In those cases, the number of eigenvalues is unknown, so the nev parameter | ||
| 482 | has a different sense, see EPSSetDimensions(). | ||
| 483 | |||
| 484 | Level: intermediate | ||
| 485 | |||
| 486 | .seealso: EPSGetWhichEigenpairs(), EPSSetTarget(), EPSSetInterval(), | ||
| 487 | EPSSetDimensions(), EPSSetEigenvalueComparison(), EPSWhich | ||
| 488 | @*/ | ||
| 489 | 6616 | PetscErrorCode EPSSetWhichEigenpairs(EPS eps,EPSWhich which) | |
| 490 | { | ||
| 491 |
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6616 | PetscFunctionBegin; |
| 492 |
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6616 | PetscValidHeaderSpecific(eps,EPS_CLASSID,1); |
| 493 |
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6616 | PetscValidLogicalCollectiveEnum(eps,which,2); |
| 494 |
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6616 | switch (which) { |
| 495 | 6616 | case EPS_LARGEST_MAGNITUDE: | |
| 496 | case EPS_SMALLEST_MAGNITUDE: | ||
| 497 | case EPS_LARGEST_REAL: | ||
| 498 | case EPS_SMALLEST_REAL: | ||
| 499 | case EPS_LARGEST_IMAGINARY: | ||
| 500 | case EPS_SMALLEST_IMAGINARY: | ||
| 501 | case EPS_TARGET_MAGNITUDE: | ||
| 502 | case EPS_TARGET_REAL: | ||
| 503 | #if defined(PETSC_USE_COMPLEX) | ||
| 504 | case EPS_TARGET_IMAGINARY: | ||
| 505 | #endif | ||
| 506 | case EPS_ALL: | ||
| 507 | case EPS_WHICH_USER: | ||
| 508 |
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6616 | if (eps->which != which) { |
| 509 | 5638 | eps->state = EPS_STATE_INITIAL; | |
| 510 | 5638 | eps->which = which; | |
| 511 | } | ||
| 512 | 1316 | break; | |
| 513 | #if !defined(PETSC_USE_COMPLEX) | ||
| 514 | ✗ | case EPS_TARGET_IMAGINARY: | |
| 515 | ✗ | SETERRQ(PetscObjectComm((PetscObject)eps),PETSC_ERR_SUP,"EPS_TARGET_IMAGINARY can be used only with complex scalars"); | |
| 516 | #endif | ||
| 517 | ✗ | default: | |
| 518 | ✗ | SETERRQ(PetscObjectComm((PetscObject)eps),PETSC_ERR_ARG_OUTOFRANGE,"Invalid 'which' value"); | |
| 519 | } | ||
| 520 |
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1316 | PetscFunctionReturn(PETSC_SUCCESS); |
| 521 | } | ||
| 522 | |||
| 523 | /*@ | ||
| 524 | EPSGetWhichEigenpairs - Returns which portion of the spectrum is to be | ||
| 525 | sought. | ||
| 526 | |||
| 527 | Not Collective | ||
| 528 | |||
| 529 | Input Parameter: | ||
| 530 | . eps - eigensolver context obtained from EPSCreate() | ||
| 531 | |||
| 532 | Output Parameter: | ||
| 533 | . which - the portion of the spectrum to be sought | ||
| 534 | |||
| 535 | Notes: | ||
| 536 | See EPSSetWhichEigenpairs() for possible values of 'which'. | ||
| 537 | |||
| 538 | Level: intermediate | ||
| 539 | |||
| 540 | .seealso: EPSSetWhichEigenpairs(), EPSWhich | ||
| 541 | @*/ | ||
| 542 | 16 | PetscErrorCode EPSGetWhichEigenpairs(EPS eps,EPSWhich *which) | |
| 543 | { | ||
| 544 |
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16 | PetscFunctionBegin; |
| 545 |
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16 | PetscValidHeaderSpecific(eps,EPS_CLASSID,1); |
| 546 |
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16 | PetscAssertPointer(which,2); |
| 547 | 16 | *which = eps->which; | |
| 548 |
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16 | PetscFunctionReturn(PETSC_SUCCESS); |
| 549 | } | ||
| 550 | |||
| 551 | /*@ | ||
| 552 | EPSSetThreshold - Sets the threshold used in the threshold stopping test. | ||
| 553 | |||
| 554 | Logically Collective | ||
| 555 | |||
| 556 | Input Parameters: | ||
| 557 | + eps - the eigenvalue solver context | ||
| 558 | . thres - the threshold value | ||
| 559 | - rel - whether the threshold is relative or not | ||
| 560 | |||
| 561 | Options Database Keys: | ||
| 562 | + -eps_threshold_absolute <thres> - Sets an absolute threshold | ||
| 563 | - -eps_threshold_relative <thres> - Sets a relative threshold | ||
| 564 | |||
| 565 | Notes: | ||
| 566 | This function internally calls EPSSetStoppingTest() to set a special stopping | ||
| 567 | test based on the threshold, where eigenvalues are computed in sequence until | ||
| 568 | one of the computed eigenvalues is below the threshold (in magnitude). This is | ||
| 569 | the interpretation in case of searching for largest eigenvalues in magnitude, | ||
| 570 | see EPSSetWhichEigenpairs(). | ||
| 571 | |||
| 572 | If the solver is configured to compute smallest magnitude eigenvalues, then the | ||
| 573 | threshold must be interpreted in the opposite direction, i.e., the computation | ||
| 574 | will stop when one of the computed values is above the threshold (in magnitude). | ||
| 575 | |||
| 576 | The threshold can also be used when computing largest/smallest real eigenvalues | ||
| 577 | (i.e, rightmost or leftmost), in which case the threshold is allowed to be | ||
| 578 | negative. The solver will stop when one of the computed eigenvalues is above | ||
| 579 | or below the threshold (considering the real part of the eigenvalue). This mode | ||
| 580 | is allowed only in problem types whose eigenvalues are always real (e.g., HEP). | ||
| 581 | |||
| 582 | In the case of largest magnitude eigenvalues, the threshold can be made relative | ||
| 583 | with respect to the dominant eigenvalue. Otherwise, the argument rel should be | ||
| 584 | PETSC_FALSE. | ||
| 585 | |||
| 586 | An additional use case is with target magnitude selection of eigenvalues (e.g., | ||
| 587 | with shift-and-invert), but this must be used with caution to avoid unexpected | ||
| 588 | behaviour. With an absolute threshold, the solver will assume that leftmost | ||
| 589 | eigenvalues are being computed (e.g., with target=0 for a problem with real | ||
| 590 | positive eigenvalues). In case of a relative threshold, a value of threshold<1 | ||
| 591 | implies that the wanted eigenvalues are the largest ones, and otherwise the | ||
| 592 | solver assumes that smallest eigenvalues are being computed. | ||
| 593 | |||
| 594 | The test against the threshold is done for converged eigenvalues, which | ||
| 595 | implies that the final number of converged eigenvalues will be at least | ||
| 596 | one more than the actual number of values below/above the threshold. | ||
| 597 | |||
| 598 | Since the number of computed eigenvalues is not known a priori, the solver | ||
| 599 | will need to reallocate the basis of vectors internally, to have enough room | ||
| 600 | to accommodate all the eigenvectors. Hence, this option must be used with | ||
| 601 | caution to avoid out-of-memory problems. The recommendation is to set the value | ||
| 602 | of ncv to be larger than the estimated number of eigenvalues, to minimize the | ||
| 603 | number of reallocations. | ||
| 604 | |||
| 605 | If a number of wanted eigenvalues has been set with EPSSetDimensions() | ||
| 606 | it is also taken into account and the solver will stop when one of the two | ||
| 607 | conditions (threshold or number of converged values) is met. | ||
| 608 | |||
| 609 | Use EPSSetStoppingTest() to return to the usual computation of a fixed number | ||
| 610 | of eigenvalues. | ||
| 611 | |||
| 612 | Level: advanced | ||
| 613 | |||
| 614 | .seealso: EPSGetThreshold(), EPSSetStoppingTest(), EPSSetDimensions(), EPSSetWhichEigenpairs(), EPSSetProblemType() | ||
| 615 | @*/ | ||
| 616 | 146 | PetscErrorCode EPSSetThreshold(EPS eps,PetscReal thres,PetscBool rel) | |
| 617 | { | ||
| 618 |
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146 | PetscFunctionBegin; |
| 619 |
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146 | PetscValidHeaderSpecific(eps,EPS_CLASSID,1); |
| 620 |
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146 | PetscValidLogicalCollectiveReal(eps,thres,2); |
| 621 |
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146 | PetscValidLogicalCollectiveBool(eps,rel,3); |
| 622 |
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146 | if (eps->thres != thres || eps->threlative != rel) { |
| 623 | 146 | eps->thres = thres; | |
| 624 | 146 | eps->threlative = rel; | |
| 625 | 146 | eps->state = EPS_STATE_INITIAL; | |
| 626 |
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146 | PetscCall(EPSSetStoppingTest(eps,EPS_STOP_THRESHOLD)); |
| 627 | } | ||
| 628 |
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34 | PetscFunctionReturn(PETSC_SUCCESS); |
| 629 | } | ||
| 630 | |||
| 631 | /*@ | ||
| 632 | EPSGetThreshold - Gets the threshold used by the threshold stopping test. | ||
| 633 | |||
| 634 | Not Collective | ||
| 635 | |||
| 636 | Input Parameter: | ||
| 637 | . eps - the eigenvalue solver context | ||
| 638 | |||
| 639 | Output Parameters: | ||
| 640 | + thres - the threshold | ||
| 641 | - rel - whether the threshold is relative or not | ||
| 642 | |||
| 643 | Level: advanced | ||
| 644 | |||
| 645 | .seealso: EPSSetThreshold() | ||
| 646 | @*/ | ||
| 647 | 50 | PetscErrorCode EPSGetThreshold(EPS eps,PetscReal *thres,PetscBool *rel) | |
| 648 | { | ||
| 649 |
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50 | PetscFunctionBegin; |
| 650 |
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50 | PetscValidHeaderSpecific(eps,EPS_CLASSID,1); |
| 651 |
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50 | if (thres) *thres = eps->thres; |
| 652 |
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50 | if (rel) *rel = eps->threlative; |
| 653 |
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|
50 | PetscFunctionReturn(PETSC_SUCCESS); |
| 654 | } | ||
| 655 | |||
| 656 | /*@C | ||
| 657 | EPSSetEigenvalueComparison - Specifies the eigenvalue comparison function | ||
| 658 | when EPSSetWhichEigenpairs() is set to EPS_WHICH_USER. | ||
| 659 | |||
| 660 | Logically Collective | ||
| 661 | |||
| 662 | Input Parameters: | ||
| 663 | + eps - eigensolver context obtained from EPSCreate() | ||
| 664 | . func - the comparison function, see EPSEigenvalueComparisonFn for the calling sequence | ||
| 665 | - ctx - a context pointer (the last parameter to the comparison function) | ||
| 666 | |||
| 667 | Note: | ||
| 668 | The returning parameter 'res' can be | ||
| 669 | + negative - if the 1st eigenvalue is preferred to the 2st one | ||
| 670 | . zero - if both eigenvalues are equally preferred | ||
| 671 | - positive - if the 2st eigenvalue is preferred to the 1st one | ||
| 672 | |||
| 673 | Level: advanced | ||
| 674 | |||
| 675 | .seealso: EPSSetWhichEigenpairs(), EPSWhich | ||
| 676 | @*/ | ||
| 677 | 382 | PetscErrorCode EPSSetEigenvalueComparison(EPS eps,SlepcEigenvalueComparisonFn *func,void *ctx) | |
| 678 | { | ||
| 679 |
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382 | PetscFunctionBegin; |
| 680 |
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382 | PetscValidHeaderSpecific(eps,EPS_CLASSID,1); |
| 681 | 382 | eps->sc->comparison = func; | |
| 682 | 382 | eps->sc->comparisonctx = ctx; | |
| 683 | 382 | eps->which = EPS_WHICH_USER; | |
| 684 |
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382 | PetscFunctionReturn(PETSC_SUCCESS); |
| 685 | } | ||
| 686 | |||
| 687 | /*@C | ||
| 688 | EPSSetArbitrarySelection - Specifies a function intended to look for | ||
| 689 | eigenvalues according to an arbitrary selection criterion. This criterion | ||
| 690 | can be based on a computation involving the current eigenvector approximation. | ||
| 691 | |||
| 692 | Logically Collective | ||
| 693 | |||
| 694 | Input Parameters: | ||
| 695 | + eps - eigensolver context obtained from EPSCreate() | ||
| 696 | . func - the arbitrary selection function, see SlepcArbitrarySelectionFn for a calling sequence | ||
| 697 | - ctx - a context pointer (the last parameter to the arbitrary selection function) | ||
| 698 | |||
| 699 | Notes: | ||
| 700 | This provides a mechanism to select eigenpairs by evaluating a user-defined | ||
| 701 | function. When a function has been provided, the default selection based on | ||
| 702 | sorting the eigenvalues is replaced by the sorting of the results of this | ||
| 703 | function (with the same sorting criterion given in EPSSetWhichEigenpairs()). | ||
| 704 | |||
| 705 | For instance, suppose you want to compute those eigenvectors that maximize | ||
| 706 | a certain computable expression. Then implement the computation using | ||
| 707 | the arguments xr and xi, and return the result in rr. Then set the standard | ||
| 708 | sorting by magnitude so that the eigenpair with largest value of rr is | ||
| 709 | selected. | ||
| 710 | |||
| 711 | This evaluation function is collective, that is, all processes call it and | ||
| 712 | it can use collective operations; furthermore, the computed result must | ||
| 713 | be the same in all processes. | ||
| 714 | |||
| 715 | The result of func is expressed as a complex number so that it is possible to | ||
| 716 | use the standard eigenvalue sorting functions, but normally only rr is used. | ||
| 717 | Set ri to zero unless it is meaningful in your application. | ||
| 718 | |||
| 719 | Level: advanced | ||
| 720 | |||
| 721 | .seealso: EPSSetWhichEigenpairs() | ||
| 722 | @*/ | ||
| 723 | 82 | PetscErrorCode EPSSetArbitrarySelection(EPS eps,SlepcArbitrarySelectionFn *func,void *ctx) | |
| 724 | { | ||
| 725 |
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82 | PetscFunctionBegin; |
| 726 |
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82 | PetscValidHeaderSpecific(eps,EPS_CLASSID,1); |
| 727 | 82 | eps->arbitrary = func; | |
| 728 | 82 | eps->arbitraryctx = ctx; | |
| 729 | 82 | eps->state = EPS_STATE_INITIAL; | |
| 730 |
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82 | PetscFunctionReturn(PETSC_SUCCESS); |
| 731 | } | ||
| 732 | |||
| 733 | /*@C | ||
| 734 | EPSSetConvergenceTestFunction - Sets a function to compute the error estimate | ||
| 735 | used in the convergence test. | ||
| 736 | |||
| 737 | Logically Collective | ||
| 738 | |||
| 739 | Input Parameters: | ||
| 740 | + eps - eigensolver context obtained from EPSCreate() | ||
| 741 | . func - convergence test function, see EPSConvergenceTestFn for the calling sequence | ||
| 742 | . ctx - context for private data for the convergence routine (may be NULL) | ||
| 743 | - destroy - a routine for destroying the context (may be NULL), see PetscCtxDestroyFn for the calling sequence | ||
| 744 | |||
| 745 | Note: | ||
| 746 | If the error estimate returned by the convergence test function is less than | ||
| 747 | the tolerance, then the eigenvalue is accepted as converged. | ||
| 748 | |||
| 749 | Level: advanced | ||
| 750 | |||
| 751 | .seealso: EPSSetConvergenceTest(), EPSSetTolerances() | ||
| 752 | @*/ | ||
| 753 | 391 | PetscErrorCode EPSSetConvergenceTestFunction(EPS eps,EPSConvergenceTestFn *func,void *ctx,PetscCtxDestroyFn *destroy) | |
| 754 | { | ||
| 755 |
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391 | PetscFunctionBegin; |
| 756 |
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391 | PetscValidHeaderSpecific(eps,EPS_CLASSID,1); |
| 757 |
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391 | if (eps->convergeddestroy) PetscCall((*eps->convergeddestroy)(&eps->convergedctx)); |
| 758 | 391 | eps->convergeduser = func; | |
| 759 | 391 | eps->convergeddestroy = destroy; | |
| 760 | 391 | eps->convergedctx = ctx; | |
| 761 |
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391 | if (func == EPSConvergedRelative) eps->conv = EPS_CONV_REL; |
| 762 |
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391 | else if (func == EPSConvergedNorm) eps->conv = EPS_CONV_NORM; |
| 763 |
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391 | else if (func == EPSConvergedAbsolute) eps->conv = EPS_CONV_ABS; |
| 764 | else { | ||
| 765 | 391 | eps->conv = EPS_CONV_USER; | |
| 766 | 391 | eps->converged = eps->convergeduser; | |
| 767 | } | ||
| 768 |
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73 | PetscFunctionReturn(PETSC_SUCCESS); |
| 769 | } | ||
| 770 | |||
| 771 | /*@ | ||
| 772 | EPSSetConvergenceTest - Specifies how to compute the error estimate | ||
| 773 | used in the convergence test. | ||
| 774 | |||
| 775 | Logically Collective | ||
| 776 | |||
| 777 | Input Parameters: | ||
| 778 | + eps - eigensolver context obtained from EPSCreate() | ||
| 779 | - conv - the type of convergence test | ||
| 780 | |||
| 781 | Options Database Keys: | ||
| 782 | + -eps_conv_abs - Sets the absolute convergence test | ||
| 783 | . -eps_conv_rel - Sets the convergence test relative to the eigenvalue | ||
| 784 | . -eps_conv_norm - Sets the convergence test relative to the matrix norms | ||
| 785 | - -eps_conv_user - Selects the user-defined convergence test | ||
| 786 | |||
| 787 | Note: | ||
| 788 | The parameter 'conv' can have one of these values | ||
| 789 | + EPS_CONV_ABS - absolute error ||r|| | ||
| 790 | . EPS_CONV_REL - error relative to the eigenvalue l, ||r||/|l| | ||
| 791 | . EPS_CONV_NORM - error relative to the matrix norms, ||r||/(||A||+|l|*||B||) | ||
| 792 | - EPS_CONV_USER - function set by EPSSetConvergenceTestFunction() | ||
| 793 | |||
| 794 | Level: intermediate | ||
| 795 | |||
| 796 | .seealso: EPSGetConvergenceTest(), EPSSetConvergenceTestFunction(), EPSSetStoppingTest(), EPSConv | ||
| 797 | @*/ | ||
| 798 | 1718 | PetscErrorCode EPSSetConvergenceTest(EPS eps,EPSConv conv) | |
| 799 | { | ||
| 800 |
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1718 | PetscFunctionBegin; |
| 801 |
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1718 | PetscValidHeaderSpecific(eps,EPS_CLASSID,1); |
| 802 |
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|
1718 | PetscValidLogicalCollectiveEnum(eps,conv,2); |
| 803 |
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1718 | switch (conv) { |
| 804 | 277 | case EPS_CONV_ABS: eps->converged = EPSConvergedAbsolute; break; | |
| 805 | 875 | case EPS_CONV_REL: eps->converged = EPSConvergedRelative; break; | |
| 806 | 566 | case EPS_CONV_NORM: eps->converged = EPSConvergedNorm; break; | |
| 807 | ✗ | case EPS_CONV_USER: | |
| 808 | ✗ | PetscCheck(eps->convergeduser,PetscObjectComm((PetscObject)eps),PETSC_ERR_ORDER,"Must call EPSSetConvergenceTestFunction() first"); | |
| 809 | ✗ | eps->converged = eps->convergeduser; | |
| 810 | ✗ | break; | |
| 811 | ✗ | default: | |
| 812 | ✗ | SETERRQ(PetscObjectComm((PetscObject)eps),PETSC_ERR_ARG_OUTOFRANGE,"Invalid 'conv' value"); | |
| 813 | } | ||
| 814 | 1718 | eps->conv = conv; | |
| 815 |
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1718 | PetscFunctionReturn(PETSC_SUCCESS); |
| 816 | } | ||
| 817 | |||
| 818 | /*@ | ||
| 819 | EPSGetConvergenceTest - Gets the method used to compute the error estimate | ||
| 820 | used in the convergence test. | ||
| 821 | |||
| 822 | Not Collective | ||
| 823 | |||
| 824 | Input Parameters: | ||
| 825 | . eps - eigensolver context obtained from EPSCreate() | ||
| 826 | |||
| 827 | Output Parameters: | ||
| 828 | . conv - the type of convergence test | ||
| 829 | |||
| 830 | Level: intermediate | ||
| 831 | |||
| 832 | .seealso: EPSSetConvergenceTest(), EPSConv | ||
| 833 | @*/ | ||
| 834 | 16 | PetscErrorCode EPSGetConvergenceTest(EPS eps,EPSConv *conv) | |
| 835 | { | ||
| 836 |
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16 | PetscFunctionBegin; |
| 837 |
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16 | PetscValidHeaderSpecific(eps,EPS_CLASSID,1); |
| 838 |
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16 | PetscAssertPointer(conv,2); |
| 839 | 16 | *conv = eps->conv; | |
| 840 |
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16 | PetscFunctionReturn(PETSC_SUCCESS); |
| 841 | } | ||
| 842 | |||
| 843 | /*@C | ||
| 844 | EPSSetStoppingTestFunction - Sets a function to decide when to stop the outer | ||
| 845 | iteration of the eigensolver. | ||
| 846 | |||
| 847 | Logically Collective | ||
| 848 | |||
| 849 | Input Parameters: | ||
| 850 | + eps - eigensolver context obtained from EPSCreate() | ||
| 851 | . func - stopping test function, see EPSStoppingTestFn for the calling sequence | ||
| 852 | . ctx - context for private data for the stopping routine (may be NULL) | ||
| 853 | - destroy - a routine for destroying the context (may be NULL), see PetscCtxDestroyFn for the calling sequence | ||
| 854 | |||
| 855 | Note: | ||
| 856 | Normal usage is to first call the default routine EPSStoppingBasic() and then | ||
| 857 | set reason to EPS_CONVERGED_USER if some user-defined conditions have been | ||
| 858 | met. To let the eigensolver continue iterating, the result must be left as | ||
| 859 | EPS_CONVERGED_ITERATING. | ||
| 860 | |||
| 861 | Level: advanced | ||
| 862 | |||
| 863 | .seealso: EPSSetStoppingTest(), EPSStoppingBasic() | ||
| 864 | @*/ | ||
| 865 | 166 | PetscErrorCode EPSSetStoppingTestFunction(EPS eps,EPSStoppingTestFn *func,void *ctx,PetscCtxDestroyFn *destroy) | |
| 866 | { | ||
| 867 |
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166 | PetscFunctionBegin; |
| 868 |
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166 | PetscValidHeaderSpecific(eps,EPS_CLASSID,1); |
| 869 |
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166 | if (eps->stoppingdestroy) PetscCall((*eps->stoppingdestroy)(&eps->stoppingctx)); |
| 870 | 166 | eps->stoppinguser = func; | |
| 871 | 166 | eps->stoppingdestroy = destroy; | |
| 872 | 166 | eps->stoppingctx = ctx; | |
| 873 |
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166 | if (func == EPSStoppingBasic) PetscCall(EPSSetStoppingTest(eps,EPS_STOP_BASIC)); |
| 874 |
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166 | else if (func == EPSStoppingThreshold) PetscCall(EPSSetStoppingTest(eps,EPS_STOP_THRESHOLD)); |
| 875 | else { | ||
| 876 | 20 | eps->stop = EPS_STOP_USER; | |
| 877 | 20 | eps->stopping = eps->stoppinguser; | |
| 878 | } | ||
| 879 |
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38 | PetscFunctionReturn(PETSC_SUCCESS); |
| 880 | } | ||
| 881 | |||
| 882 | /*@ | ||
| 883 | EPSSetStoppingTest - Specifies how to decide the termination of the outer | ||
| 884 | loop of the eigensolver. | ||
| 885 | |||
| 886 | Logically Collective | ||
| 887 | |||
| 888 | Input Parameters: | ||
| 889 | + eps - eigensolver context obtained from EPSCreate() | ||
| 890 | - stop - the type of stopping test | ||
| 891 | |||
| 892 | Options Database Keys: | ||
| 893 | + -eps_stop_basic - Sets the default stopping test | ||
| 894 | . -eps_stop_threshold - Sets the threshold stopping test | ||
| 895 | - -eps_stop_user - Selects the user-defined stopping test | ||
| 896 | |||
| 897 | Note: | ||
| 898 | The parameter 'stop' can have one of these values | ||
| 899 | + EPS_STOP_BASIC - default stopping test | ||
| 900 | . EPS_STOP_THRESHOLD - threshold stopping test) | ||
| 901 | - EPS_STOP_USER - function set by EPSSetStoppingTestFunction() | ||
| 902 | |||
| 903 | Level: advanced | ||
| 904 | |||
| 905 | .seealso: EPSGetStoppingTest(), EPSSetStoppingTestFunction(), EPSSetConvergenceTest(), EPSStop | ||
| 906 | @*/ | ||
| 907 | 308 | PetscErrorCode EPSSetStoppingTest(EPS eps,EPSStop stop) | |
| 908 | { | ||
| 909 |
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308 | PetscFunctionBegin; |
| 910 |
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308 | PetscValidHeaderSpecific(eps,EPS_CLASSID,1); |
| 911 |
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308 | PetscValidLogicalCollectiveEnum(eps,stop,2); |
| 912 |
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308 | switch (stop) { |
| 913 | 16 | case EPS_STOP_BASIC: eps->stopping = EPSStoppingBasic; break; | |
| 914 | 292 | case EPS_STOP_THRESHOLD: eps->stopping = EPSStoppingThreshold; break; | |
| 915 | ✗ | case EPS_STOP_USER: | |
| 916 | ✗ | PetscCheck(eps->stoppinguser,PetscObjectComm((PetscObject)eps),PETSC_ERR_ORDER,"Must call EPSSetStoppingTestFunction() first"); | |
| 917 | ✗ | eps->stopping = eps->stoppinguser; | |
| 918 | ✗ | break; | |
| 919 | ✗ | default: | |
| 920 | ✗ | SETERRQ(PetscObjectComm((PetscObject)eps),PETSC_ERR_ARG_OUTOFRANGE,"Invalid 'stop' value"); | |
| 921 | } | ||
| 922 | 308 | eps->stop = stop; | |
| 923 |
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308 | PetscFunctionReturn(PETSC_SUCCESS); |
| 924 | } | ||
| 925 | |||
| 926 | /*@ | ||
| 927 | EPSGetStoppingTest - Gets the method used to decide the termination of the outer | ||
| 928 | loop of the eigensolver. | ||
| 929 | |||
| 930 | Not Collective | ||
| 931 | |||
| 932 | Input Parameters: | ||
| 933 | . eps - eigensolver context obtained from EPSCreate() | ||
| 934 | |||
| 935 | Output Parameters: | ||
| 936 | . stop - the type of stopping test | ||
| 937 | |||
| 938 | Level: advanced | ||
| 939 | |||
| 940 | .seealso: EPSSetStoppingTest(), EPSStop | ||
| 941 | @*/ | ||
| 942 | 284 | PetscErrorCode EPSGetStoppingTest(EPS eps,EPSStop *stop) | |
| 943 | { | ||
| 944 |
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284 | PetscFunctionBegin; |
| 945 |
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284 | PetscValidHeaderSpecific(eps,EPS_CLASSID,1); |
| 946 |
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284 | PetscAssertPointer(stop,2); |
| 947 | 284 | *stop = eps->stop; | |
| 948 |
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284 | PetscFunctionReturn(PETSC_SUCCESS); |
| 949 | } | ||
| 950 | |||
| 951 | /*@ | ||
| 952 | EPSSetProblemType - Specifies the type of the eigenvalue problem. | ||
| 953 | |||
| 954 | Logically Collective | ||
| 955 | |||
| 956 | Input Parameters: | ||
| 957 | + eps - the eigensolver context | ||
| 958 | - type - a known type of eigenvalue problem | ||
| 959 | |||
| 960 | Options Database Keys: | ||
| 961 | + -eps_hermitian - Hermitian eigenvalue problem | ||
| 962 | . -eps_gen_hermitian - generalized Hermitian eigenvalue problem | ||
| 963 | . -eps_non_hermitian - non-Hermitian eigenvalue problem | ||
| 964 | . -eps_gen_non_hermitian - generalized non-Hermitian eigenvalue problem | ||
| 965 | . -eps_pos_gen_non_hermitian - generalized non-Hermitian eigenvalue problem | ||
| 966 | with positive semi-definite B | ||
| 967 | . -eps_gen_indefinite - generalized Hermitian-indefinite eigenvalue problem | ||
| 968 | . -eps_bse - structured Bethe-Salpeter eigenvalue problem | ||
| 969 | - -eps_hamiltonian - structured Hamiltonian eigenvalue problem | ||
| 970 | |||
| 971 | Notes: | ||
| 972 | This function must be used to instruct SLEPc to exploit symmetry or other | ||
| 973 | kind of structure. If no | ||
| 974 | problem type is specified, by default a non-Hermitian problem is assumed | ||
| 975 | (either standard or generalized). If the user knows that the problem is | ||
| 976 | Hermitian (i.e. A=A^H) or generalized Hermitian (i.e. A=A^H, B=B^H, and | ||
| 977 | B positive definite) then it is recommended to set the problem type so | ||
| 978 | that eigensolver can exploit these properties. | ||
| 979 | |||
| 980 | If the user does not call this function, the solver will use a reasonable | ||
| 981 | guess. | ||
| 982 | |||
| 983 | For structured problem types such as EPS_BSE, the matrices passed in via | ||
| 984 | EPSSetOperators() must have been created with the corresponding helper | ||
| 985 | function, i.e., MatCreateBSE(). | ||
| 986 | |||
| 987 | Level: intermediate | ||
| 988 | |||
| 989 | .seealso: EPSSetOperators(), EPSSetType(), EPSGetProblemType(), EPSProblemType | ||
| 990 | @*/ | ||
| 991 | 7437 | PetscErrorCode EPSSetProblemType(EPS eps,EPSProblemType type) | |
| 992 | { | ||
| 993 |
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7437 | PetscFunctionBegin; |
| 994 |
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7437 | PetscValidHeaderSpecific(eps,EPS_CLASSID,1); |
| 995 |
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7437 | PetscValidLogicalCollectiveEnum(eps,type,2); |
| 996 |
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7437 | if (type == eps->problem_type) PetscFunctionReturn(PETSC_SUCCESS); |
| 997 |
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7169 | switch (type) { |
| 998 | 2732 | case EPS_HEP: | |
| 999 | 2732 | eps->isgeneralized = PETSC_FALSE; | |
| 1000 | 2732 | eps->ishermitian = PETSC_TRUE; | |
| 1001 | 2732 | eps->ispositive = PETSC_FALSE; | |
| 1002 | 2732 | eps->isstructured = PETSC_FALSE; | |
| 1003 | 2732 | break; | |
| 1004 | 1720 | case EPS_NHEP: | |
| 1005 | 1720 | eps->isgeneralized = PETSC_FALSE; | |
| 1006 | 1720 | eps->ishermitian = PETSC_FALSE; | |
| 1007 | 1720 | eps->ispositive = PETSC_FALSE; | |
| 1008 | 1720 | eps->isstructured = PETSC_FALSE; | |
| 1009 | 1720 | break; | |
| 1010 | 1399 | case EPS_GHEP: | |
| 1011 | 1399 | eps->isgeneralized = PETSC_TRUE; | |
| 1012 | 1399 | eps->ishermitian = PETSC_TRUE; | |
| 1013 | 1399 | eps->ispositive = PETSC_TRUE; | |
| 1014 | 1399 | eps->isstructured = PETSC_FALSE; | |
| 1015 | 1399 | break; | |
| 1016 | 703 | case EPS_GNHEP: | |
| 1017 | 703 | eps->isgeneralized = PETSC_TRUE; | |
| 1018 | 703 | eps->ishermitian = PETSC_FALSE; | |
| 1019 | 703 | eps->ispositive = PETSC_FALSE; | |
| 1020 | 703 | eps->isstructured = PETSC_FALSE; | |
| 1021 | 703 | break; | |
| 1022 | 31 | case EPS_PGNHEP: | |
| 1023 | 31 | eps->isgeneralized = PETSC_TRUE; | |
| 1024 | 31 | eps->ishermitian = PETSC_FALSE; | |
| 1025 | 31 | eps->ispositive = PETSC_TRUE; | |
| 1026 | 31 | eps->isstructured = PETSC_FALSE; | |
| 1027 | 31 | break; | |
| 1028 | 155 | case EPS_GHIEP: | |
| 1029 | 155 | eps->isgeneralized = PETSC_TRUE; | |
| 1030 | 155 | eps->ishermitian = PETSC_TRUE; | |
| 1031 | 155 | eps->ispositive = PETSC_FALSE; | |
| 1032 | 155 | eps->isstructured = PETSC_FALSE; | |
| 1033 | 155 | break; | |
| 1034 | 334 | case EPS_BSE: | |
| 1035 | 334 | eps->isgeneralized = PETSC_FALSE; | |
| 1036 | 334 | eps->ishermitian = PETSC_FALSE; | |
| 1037 | 334 | eps->ispositive = PETSC_FALSE; | |
| 1038 | 334 | eps->isstructured = PETSC_TRUE; | |
| 1039 | 334 | break; | |
| 1040 | 95 | case EPS_HAMILT: | |
| 1041 | 95 | eps->isgeneralized = PETSC_FALSE; | |
| 1042 | 95 | eps->ishermitian = PETSC_FALSE; | |
| 1043 | 95 | eps->ispositive = PETSC_FALSE; | |
| 1044 | 95 | eps->isstructured = PETSC_TRUE; | |
| 1045 | 95 | break; | |
| 1046 | ✗ | default: | |
| 1047 | ✗ | SETERRQ(PetscObjectComm((PetscObject)eps),PETSC_ERR_ARG_WRONG,"Unknown eigenvalue problem type"); | |
| 1048 | } | ||
| 1049 | 7169 | eps->problem_type = type; | |
| 1050 | 7169 | eps->state = EPS_STATE_INITIAL; | |
| 1051 |
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7169 | PetscFunctionReturn(PETSC_SUCCESS); |
| 1052 | } | ||
| 1053 | |||
| 1054 | /*@ | ||
| 1055 | EPSGetProblemType - Gets the problem type from the EPS object. | ||
| 1056 | |||
| 1057 | Not Collective | ||
| 1058 | |||
| 1059 | Input Parameter: | ||
| 1060 | . eps - the eigensolver context | ||
| 1061 | |||
| 1062 | Output Parameter: | ||
| 1063 | . type - the problem type | ||
| 1064 | |||
| 1065 | Level: intermediate | ||
| 1066 | |||
| 1067 | .seealso: EPSSetProblemType(), EPSProblemType | ||
| 1068 | @*/ | ||
| 1069 | 790 | PetscErrorCode EPSGetProblemType(EPS eps,EPSProblemType *type) | |
| 1070 | { | ||
| 1071 |
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790 | PetscFunctionBegin; |
| 1072 |
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790 | PetscValidHeaderSpecific(eps,EPS_CLASSID,1); |
| 1073 |
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790 | PetscAssertPointer(type,2); |
| 1074 | 790 | *type = eps->problem_type; | |
| 1075 |
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790 | PetscFunctionReturn(PETSC_SUCCESS); |
| 1076 | } | ||
| 1077 | |||
| 1078 | /*@ | ||
| 1079 | EPSSetExtraction - Specifies the type of extraction technique to be employed | ||
| 1080 | by the eigensolver. | ||
| 1081 | |||
| 1082 | Logically Collective | ||
| 1083 | |||
| 1084 | Input Parameters: | ||
| 1085 | + eps - the eigensolver context | ||
| 1086 | - extr - a known type of extraction | ||
| 1087 | |||
| 1088 | Options Database Keys: | ||
| 1089 | + -eps_ritz - Rayleigh-Ritz extraction | ||
| 1090 | . -eps_harmonic - harmonic Ritz extraction | ||
| 1091 | . -eps_harmonic_relative - harmonic Ritz extraction relative to the eigenvalue | ||
| 1092 | . -eps_harmonic_right - harmonic Ritz extraction for rightmost eigenvalues | ||
| 1093 | . -eps_harmonic_largest - harmonic Ritz extraction for largest magnitude | ||
| 1094 | (without target) | ||
| 1095 | . -eps_refined - refined Ritz extraction | ||
| 1096 | - -eps_refined_harmonic - refined harmonic Ritz extraction | ||
| 1097 | |||
| 1098 | Notes: | ||
| 1099 | Not all eigensolvers support all types of extraction. See the SLEPc | ||
| 1100 | Users Manual for details. | ||
| 1101 | |||
| 1102 | By default, a standard Rayleigh-Ritz extraction is used. Other extractions | ||
| 1103 | may be useful when computing interior eigenvalues. | ||
| 1104 | |||
| 1105 | Harmonic-type extractions are used in combination with a 'target'. | ||
| 1106 | |||
| 1107 | Level: advanced | ||
| 1108 | |||
| 1109 | .seealso: EPSSetTarget(), EPSGetExtraction(), EPSExtraction | ||
| 1110 | @*/ | ||
| 1111 | 142 | PetscErrorCode EPSSetExtraction(EPS eps,EPSExtraction extr) | |
| 1112 | { | ||
| 1113 |
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142 | PetscFunctionBegin; |
| 1114 |
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142 | PetscValidHeaderSpecific(eps,EPS_CLASSID,1); |
| 1115 |
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142 | PetscValidLogicalCollectiveEnum(eps,extr,2); |
| 1116 |
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142 | if (eps->extraction != extr) { |
| 1117 | 142 | eps->state = EPS_STATE_INITIAL; | |
| 1118 | 142 | eps->extraction = extr; | |
| 1119 | } | ||
| 1120 |
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142 | PetscFunctionReturn(PETSC_SUCCESS); |
| 1121 | } | ||
| 1122 | |||
| 1123 | /*@ | ||
| 1124 | EPSGetExtraction - Gets the extraction type used by the EPS object. | ||
| 1125 | |||
| 1126 | Not Collective | ||
| 1127 | |||
| 1128 | Input Parameter: | ||
| 1129 | . eps - the eigensolver context | ||
| 1130 | |||
| 1131 | Output Parameter: | ||
| 1132 | . extr - name of extraction type | ||
| 1133 | |||
| 1134 | Level: advanced | ||
| 1135 | |||
| 1136 | .seealso: EPSSetExtraction(), EPSExtraction | ||
| 1137 | @*/ | ||
| 1138 | 32 | PetscErrorCode EPSGetExtraction(EPS eps,EPSExtraction *extr) | |
| 1139 | { | ||
| 1140 |
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32 | PetscFunctionBegin; |
| 1141 |
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32 | PetscValidHeaderSpecific(eps,EPS_CLASSID,1); |
| 1142 |
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32 | PetscAssertPointer(extr,2); |
| 1143 | 32 | *extr = eps->extraction; | |
| 1144 |
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|
32 | PetscFunctionReturn(PETSC_SUCCESS); |
| 1145 | } | ||
| 1146 | |||
| 1147 | /*@ | ||
| 1148 | EPSSetBalance - Specifies the balancing technique to be employed by the | ||
| 1149 | eigensolver, and some parameters associated to it. | ||
| 1150 | |||
| 1151 | Logically Collective | ||
| 1152 | |||
| 1153 | Input Parameters: | ||
| 1154 | + eps - the eigensolver context | ||
| 1155 | . bal - the balancing method, one of EPS_BALANCE_NONE, EPS_BALANCE_ONESIDE, | ||
| 1156 | EPS_BALANCE_TWOSIDE, or EPS_BALANCE_USER | ||
| 1157 | . its - number of iterations of the balancing algorithm | ||
| 1158 | - cutoff - cutoff value | ||
| 1159 | |||
| 1160 | Options Database Keys: | ||
| 1161 | + -eps_balance <method> - the balancing method, where <method> is one of | ||
| 1162 | 'none', 'oneside', 'twoside', or 'user' | ||
| 1163 | . -eps_balance_its <its> - number of iterations | ||
| 1164 | - -eps_balance_cutoff <cutoff> - cutoff value | ||
| 1165 | |||
| 1166 | Notes: | ||
| 1167 | When balancing is enabled, the solver works implicitly with matrix DAD^-1, | ||
| 1168 | where D is an appropriate diagonal matrix. This improves the accuracy of | ||
| 1169 | the computed results in some cases. See the SLEPc Users Manual for details. | ||
| 1170 | |||
| 1171 | Balancing makes sense only for non-Hermitian problems when the required | ||
| 1172 | precision is high (i.e. a small tolerance such as 1e-15). | ||
| 1173 | |||
| 1174 | By default, balancing is disabled. The two-sided method is much more | ||
| 1175 | effective than the one-sided counterpart, but it requires the system | ||
| 1176 | matrices to have the MatMultTranspose operation defined. | ||
| 1177 | |||
| 1178 | The parameter 'its' is the number of iterations performed by the method. The | ||
| 1179 | cutoff value is used only in the two-side variant. Use PETSC_DETERMINE to assign | ||
| 1180 | a reasonably good value, or PETSC_CURRENT to leave the value unchanged. | ||
| 1181 | |||
| 1182 | User-defined balancing is allowed provided that the corresponding matrix | ||
| 1183 | is set via STSetBalanceMatrix. | ||
| 1184 | |||
| 1185 | Level: intermediate | ||
| 1186 | |||
| 1187 | .seealso: EPSGetBalance(), EPSBalance, STSetBalanceMatrix() | ||
| 1188 | @*/ | ||
| 1189 | 166 | PetscErrorCode EPSSetBalance(EPS eps,EPSBalance bal,PetscInt its,PetscReal cutoff) | |
| 1190 | { | ||
| 1191 |
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166 | PetscFunctionBegin; |
| 1192 |
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166 | PetscValidHeaderSpecific(eps,EPS_CLASSID,1); |
| 1193 |
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|
166 | PetscValidLogicalCollectiveEnum(eps,bal,2); |
| 1194 |
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|
166 | PetscValidLogicalCollectiveInt(eps,its,3); |
| 1195 |
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|
166 | PetscValidLogicalCollectiveReal(eps,cutoff,4); |
| 1196 |
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166 | switch (bal) { |
| 1197 | 166 | case EPS_BALANCE_NONE: | |
| 1198 | case EPS_BALANCE_ONESIDE: | ||
| 1199 | case EPS_BALANCE_TWOSIDE: | ||
| 1200 | case EPS_BALANCE_USER: | ||
| 1201 |
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|
166 | if (eps->balance != bal) { |
| 1202 | 146 | eps->state = EPS_STATE_INITIAL; | |
| 1203 | 146 | eps->balance = bal; | |
| 1204 | } | ||
| 1205 | 166 | break; | |
| 1206 | ✗ | default: | |
| 1207 | ✗ | SETERRQ(PetscObjectComm((PetscObject)eps),PETSC_ERR_ARG_OUTOFRANGE,"Invalid value of argument 'bal'"); | |
| 1208 | } | ||
| 1209 |
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166 | if (its==PETSC_DETERMINE) eps->balance_its = 5; |
| 1210 |
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166 | else if (its!=PETSC_CURRENT) { |
| 1211 |
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166 | PetscCheck(its>0,PetscObjectComm((PetscObject)eps),PETSC_ERR_ARG_OUTOFRANGE,"Illegal value of its. Must be > 0"); |
| 1212 | 166 | eps->balance_its = its; | |
| 1213 | } | ||
| 1214 |
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166 | if (cutoff==(PetscReal)PETSC_DETERMINE) eps->balance_cutoff = 1e-8; |
| 1215 |
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166 | else if (cutoff!=(PetscReal)PETSC_CURRENT) { |
| 1216 |
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166 | PetscCheck(cutoff>0.0,PetscObjectComm((PetscObject)eps),PETSC_ERR_ARG_OUTOFRANGE,"Illegal value of cutoff. Must be > 0"); |
| 1217 | 166 | eps->balance_cutoff = cutoff; | |
| 1218 | } | ||
| 1219 |
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|
32 | PetscFunctionReturn(PETSC_SUCCESS); |
| 1220 | } | ||
| 1221 | |||
| 1222 | /*@ | ||
| 1223 | EPSGetBalance - Gets the balancing type used by the EPS object, and the | ||
| 1224 | associated parameters. | ||
| 1225 | |||
| 1226 | Not Collective | ||
| 1227 | |||
| 1228 | Input Parameter: | ||
| 1229 | . eps - the eigensolver context | ||
| 1230 | |||
| 1231 | Output Parameters: | ||
| 1232 | + bal - the balancing method | ||
| 1233 | . its - number of iterations of the balancing algorithm | ||
| 1234 | - cutoff - cutoff value | ||
| 1235 | |||
| 1236 | Level: intermediate | ||
| 1237 | |||
| 1238 | Note: | ||
| 1239 | The user can specify NULL for any parameter that is not needed. | ||
| 1240 | |||
| 1241 | .seealso: EPSSetBalance(), EPSBalance | ||
| 1242 | @*/ | ||
| 1243 | 16 | PetscErrorCode EPSGetBalance(EPS eps,EPSBalance *bal,PetscInt *its,PetscReal *cutoff) | |
| 1244 | { | ||
| 1245 |
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16 | PetscFunctionBegin; |
| 1246 |
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16 | PetscValidHeaderSpecific(eps,EPS_CLASSID,1); |
| 1247 |
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16 | if (bal) *bal = eps->balance; |
| 1248 |
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16 | if (its) *its = eps->balance_its; |
| 1249 |
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16 | if (cutoff) *cutoff = eps->balance_cutoff; |
| 1250 |
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|
16 | PetscFunctionReturn(PETSC_SUCCESS); |
| 1251 | } | ||
| 1252 | |||
| 1253 | /*@ | ||
| 1254 | EPSSetTwoSided - Sets the solver to use a two-sided variant so that left | ||
| 1255 | eigenvectors are also computed. | ||
| 1256 | |||
| 1257 | Logically Collective | ||
| 1258 | |||
| 1259 | Input Parameters: | ||
| 1260 | + eps - the eigensolver context | ||
| 1261 | - twosided - whether the two-sided variant is to be used or not | ||
| 1262 | |||
| 1263 | Options Database Keys: | ||
| 1264 | . -eps_two_sided <boolean> - Sets/resets the twosided flag | ||
| 1265 | |||
| 1266 | Notes: | ||
| 1267 | If the user sets twosided=PETSC_TRUE then the solver uses a variant of | ||
| 1268 | the algorithm that computes both right and left eigenvectors. This is | ||
| 1269 | usually much more costly. This option is not available in all solvers. | ||
| 1270 | |||
| 1271 | When using two-sided solvers, the problem matrices must have both the | ||
| 1272 | MatMult and MatMultTranspose operations defined. | ||
| 1273 | |||
| 1274 | Level: advanced | ||
| 1275 | |||
| 1276 | .seealso: EPSGetTwoSided(), EPSGetLeftEigenvector() | ||
| 1277 | @*/ | ||
| 1278 | 318 | PetscErrorCode EPSSetTwoSided(EPS eps,PetscBool twosided) | |
| 1279 | { | ||
| 1280 |
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318 | PetscFunctionBegin; |
| 1281 |
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318 | PetscValidHeaderSpecific(eps,EPS_CLASSID,1); |
| 1282 |
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|
318 | PetscValidLogicalCollectiveBool(eps,twosided,2); |
| 1283 |
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318 | if (twosided!=eps->twosided) { |
| 1284 | 209 | eps->twosided = twosided; | |
| 1285 | 209 | eps->state = EPS_STATE_INITIAL; | |
| 1286 | } | ||
| 1287 |
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|
318 | PetscFunctionReturn(PETSC_SUCCESS); |
| 1288 | } | ||
| 1289 | |||
| 1290 | /*@ | ||
| 1291 | EPSGetTwoSided - Returns the flag indicating whether a two-sided variant | ||
| 1292 | of the algorithm is being used or not. | ||
| 1293 | |||
| 1294 | Not Collective | ||
| 1295 | |||
| 1296 | Input Parameter: | ||
| 1297 | . eps - the eigensolver context | ||
| 1298 | |||
| 1299 | Output Parameter: | ||
| 1300 | . twosided - the returned flag | ||
| 1301 | |||
| 1302 | Level: advanced | ||
| 1303 | |||
| 1304 | .seealso: EPSSetTwoSided() | ||
| 1305 | @*/ | ||
| 1306 | 68 | PetscErrorCode EPSGetTwoSided(EPS eps,PetscBool *twosided) | |
| 1307 | { | ||
| 1308 |
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68 | PetscFunctionBegin; |
| 1309 |
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68 | PetscValidHeaderSpecific(eps,EPS_CLASSID,1); |
| 1310 |
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68 | PetscAssertPointer(twosided,2); |
| 1311 | 68 | *twosided = eps->twosided; | |
| 1312 |
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68 | PetscFunctionReturn(PETSC_SUCCESS); |
| 1313 | } | ||
| 1314 | |||
| 1315 | /*@ | ||
| 1316 | EPSSetTrueResidual - Specifies if the solver must compute the true residual | ||
| 1317 | explicitly or not. | ||
| 1318 | |||
| 1319 | Logically Collective | ||
| 1320 | |||
| 1321 | Input Parameters: | ||
| 1322 | + eps - the eigensolver context | ||
| 1323 | - trueres - whether true residuals are required or not | ||
| 1324 | |||
| 1325 | Options Database Keys: | ||
| 1326 | . -eps_true_residual <boolean> - Sets/resets the boolean flag 'trueres' | ||
| 1327 | |||
| 1328 | Notes: | ||
| 1329 | If the user sets trueres=PETSC_TRUE then the solver explicitly computes | ||
| 1330 | the true residual for each eigenpair approximation, and uses it for | ||
| 1331 | convergence testing. Computing the residual is usually an expensive | ||
| 1332 | operation. Some solvers (e.g., Krylov solvers) can avoid this computation | ||
| 1333 | by using a cheap estimate of the residual norm, but this may sometimes | ||
| 1334 | give inaccurate results (especially if a spectral transform is being | ||
| 1335 | used). On the contrary, preconditioned eigensolvers (e.g., Davidson solvers) | ||
| 1336 | do rely on computing the true residual, so this option is irrelevant for them. | ||
| 1337 | |||
| 1338 | Level: advanced | ||
| 1339 | |||
| 1340 | .seealso: EPSGetTrueResidual() | ||
| 1341 | @*/ | ||
| 1342 | 90 | PetscErrorCode EPSSetTrueResidual(EPS eps,PetscBool trueres) | |
| 1343 | { | ||
| 1344 |
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90 | PetscFunctionBegin; |
| 1345 |
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90 | PetscValidHeaderSpecific(eps,EPS_CLASSID,1); |
| 1346 |
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90 | PetscValidLogicalCollectiveBool(eps,trueres,2); |
| 1347 | 90 | eps->trueres = trueres; | |
| 1348 |
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90 | PetscFunctionReturn(PETSC_SUCCESS); |
| 1349 | } | ||
| 1350 | |||
| 1351 | /*@ | ||
| 1352 | EPSGetTrueResidual - Returns the flag indicating whether true | ||
| 1353 | residuals must be computed explicitly or not. | ||
| 1354 | |||
| 1355 | Not Collective | ||
| 1356 | |||
| 1357 | Input Parameter: | ||
| 1358 | . eps - the eigensolver context | ||
| 1359 | |||
| 1360 | Output Parameter: | ||
| 1361 | . trueres - the returned flag | ||
| 1362 | |||
| 1363 | Level: advanced | ||
| 1364 | |||
| 1365 | .seealso: EPSSetTrueResidual() | ||
| 1366 | @*/ | ||
| 1367 | 80 | PetscErrorCode EPSGetTrueResidual(EPS eps,PetscBool *trueres) | |
| 1368 | { | ||
| 1369 |
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80 | PetscFunctionBegin; |
| 1370 |
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80 | PetscValidHeaderSpecific(eps,EPS_CLASSID,1); |
| 1371 |
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80 | PetscAssertPointer(trueres,2); |
| 1372 | 80 | *trueres = eps->trueres; | |
| 1373 |
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80 | PetscFunctionReturn(PETSC_SUCCESS); |
| 1374 | } | ||
| 1375 | |||
| 1376 | /*@ | ||
| 1377 | EPSSetTrackAll - Specifies if the solver must compute the residual norm of all | ||
| 1378 | approximate eigenpairs or not. | ||
| 1379 | |||
| 1380 | Logically Collective | ||
| 1381 | |||
| 1382 | Input Parameters: | ||
| 1383 | + eps - the eigensolver context | ||
| 1384 | - trackall - whether to compute all residuals or not | ||
| 1385 | |||
| 1386 | Notes: | ||
| 1387 | If the user sets trackall=PETSC_TRUE then the solver computes (or estimates) | ||
| 1388 | the residual norm for each eigenpair approximation. Computing the residual is | ||
| 1389 | usually an expensive operation and solvers commonly compute only the residual | ||
| 1390 | associated to the first unconverged eigenpair. | ||
| 1391 | |||
| 1392 | The option '-eps_monitor_all' automatically activates this option. | ||
| 1393 | |||
| 1394 | Level: developer | ||
| 1395 | |||
| 1396 | .seealso: EPSGetTrackAll() | ||
| 1397 | @*/ | ||
| 1398 | 1521 | PetscErrorCode EPSSetTrackAll(EPS eps,PetscBool trackall) | |
| 1399 | { | ||
| 1400 |
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1521 | PetscFunctionBegin; |
| 1401 |
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1521 | PetscValidHeaderSpecific(eps,EPS_CLASSID,1); |
| 1402 |
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|
1521 | PetscValidLogicalCollectiveBool(eps,trackall,2); |
| 1403 | 1521 | eps->trackall = trackall; | |
| 1404 |
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|
1521 | PetscFunctionReturn(PETSC_SUCCESS); |
| 1405 | } | ||
| 1406 | |||
| 1407 | /*@ | ||
| 1408 | EPSGetTrackAll - Returns the flag indicating whether all residual norms must | ||
| 1409 | be computed or not. | ||
| 1410 | |||
| 1411 | Not Collective | ||
| 1412 | |||
| 1413 | Input Parameter: | ||
| 1414 | . eps - the eigensolver context | ||
| 1415 | |||
| 1416 | Output Parameter: | ||
| 1417 | . trackall - the returned flag | ||
| 1418 | |||
| 1419 | Level: developer | ||
| 1420 | |||
| 1421 | .seealso: EPSSetTrackAll() | ||
| 1422 | @*/ | ||
| 1423 | 10 | PetscErrorCode EPSGetTrackAll(EPS eps,PetscBool *trackall) | |
| 1424 | { | ||
| 1425 |
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10 | PetscFunctionBegin; |
| 1426 |
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10 | PetscValidHeaderSpecific(eps,EPS_CLASSID,1); |
| 1427 |
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10 | PetscAssertPointer(trackall,2); |
| 1428 | 10 | *trackall = eps->trackall; | |
| 1429 |
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10 | PetscFunctionReturn(PETSC_SUCCESS); |
| 1430 | } | ||
| 1431 | |||
| 1432 | /*@ | ||
| 1433 | EPSSetPurify - Deactivate eigenvector purification (which is activated by default). | ||
| 1434 | |||
| 1435 | Logically Collective | ||
| 1436 | |||
| 1437 | Input Parameters: | ||
| 1438 | + eps - the eigensolver context | ||
| 1439 | - purify - whether purification is required or not | ||
| 1440 | |||
| 1441 | Options Database Keys: | ||
| 1442 | . -eps_purify <boolean> - Sets/resets the boolean flag 'purify' | ||
| 1443 | |||
| 1444 | Notes: | ||
| 1445 | By default, eigenvectors of generalized symmetric eigenproblems are purified | ||
| 1446 | in order to purge directions in the nullspace of matrix B. If the user knows | ||
| 1447 | that B is non-singular, then purification can be safely deactivated and some | ||
| 1448 | computational cost is avoided (this is particularly important in interval computations). | ||
| 1449 | |||
| 1450 | Level: intermediate | ||
| 1451 | |||
| 1452 | .seealso: EPSGetPurify(), EPSSetInterval() | ||
| 1453 | @*/ | ||
| 1454 | 40 | PetscErrorCode EPSSetPurify(EPS eps,PetscBool purify) | |
| 1455 | { | ||
| 1456 |
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40 | PetscFunctionBegin; |
| 1457 |
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40 | PetscValidHeaderSpecific(eps,EPS_CLASSID,1); |
| 1458 |
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40 | PetscValidLogicalCollectiveBool(eps,purify,2); |
| 1459 |
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40 | if (purify!=eps->purify) { |
| 1460 | 20 | eps->purify = purify; | |
| 1461 | 20 | eps->state = EPS_STATE_INITIAL; | |
| 1462 | } | ||
| 1463 |
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40 | PetscFunctionReturn(PETSC_SUCCESS); |
| 1464 | } | ||
| 1465 | |||
| 1466 | /*@ | ||
| 1467 | EPSGetPurify - Returns the flag indicating whether purification is activated | ||
| 1468 | or not. | ||
| 1469 | |||
| 1470 | Not Collective | ||
| 1471 | |||
| 1472 | Input Parameter: | ||
| 1473 | . eps - the eigensolver context | ||
| 1474 | |||
| 1475 | Output Parameter: | ||
| 1476 | . purify - the returned flag | ||
| 1477 | |||
| 1478 | Level: intermediate | ||
| 1479 | |||
| 1480 | .seealso: EPSSetPurify() | ||
| 1481 | @*/ | ||
| 1482 | 10 | PetscErrorCode EPSGetPurify(EPS eps,PetscBool *purify) | |
| 1483 | { | ||
| 1484 |
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10 | PetscFunctionBegin; |
| 1485 |
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10 | PetscValidHeaderSpecific(eps,EPS_CLASSID,1); |
| 1486 |
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10 | PetscAssertPointer(purify,2); |
| 1487 | 10 | *purify = eps->purify; | |
| 1488 |
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10 | PetscFunctionReturn(PETSC_SUCCESS); |
| 1489 | } | ||
| 1490 | |||
| 1491 | /*@ | ||
| 1492 | EPSSetOptionsPrefix - Sets the prefix used for searching for all | ||
| 1493 | EPS options in the database. | ||
| 1494 | |||
| 1495 | Logically Collective | ||
| 1496 | |||
| 1497 | Input Parameters: | ||
| 1498 | + eps - the eigensolver context | ||
| 1499 | - prefix - the prefix string to prepend to all EPS option requests | ||
| 1500 | |||
| 1501 | Notes: | ||
| 1502 | A hyphen (-) must NOT be given at the beginning of the prefix name. | ||
| 1503 | The first character of all runtime options is AUTOMATICALLY the | ||
| 1504 | hyphen. | ||
| 1505 | |||
| 1506 | For example, to distinguish between the runtime options for two | ||
| 1507 | different EPS contexts, one could call | ||
| 1508 | .vb | ||
| 1509 | EPSSetOptionsPrefix(eps1,"eig1_") | ||
| 1510 | EPSSetOptionsPrefix(eps2,"eig2_") | ||
| 1511 | .ve | ||
| 1512 | |||
| 1513 | Level: advanced | ||
| 1514 | |||
| 1515 | .seealso: EPSAppendOptionsPrefix(), EPSGetOptionsPrefix() | ||
| 1516 | @*/ | ||
| 1517 | 2137 | PetscErrorCode EPSSetOptionsPrefix(EPS eps,const char *prefix) | |
| 1518 | { | ||
| 1519 |
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2137 | PetscFunctionBegin; |
| 1520 |
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2137 | PetscValidHeaderSpecific(eps,EPS_CLASSID,1); |
| 1521 |
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2137 | if (!eps->st) PetscCall(EPSGetST(eps,&eps->st)); |
| 1522 |
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2137 | PetscCall(STSetOptionsPrefix(eps->st,prefix)); |
| 1523 |
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2137 | if (!eps->V) PetscCall(EPSGetBV(eps,&eps->V)); |
| 1524 |
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2137 | PetscCall(BVSetOptionsPrefix(eps->V,prefix)); |
| 1525 |
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2137 | if (!eps->ds) PetscCall(EPSGetDS(eps,&eps->ds)); |
| 1526 |
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2137 | PetscCall(DSSetOptionsPrefix(eps->ds,prefix)); |
| 1527 |
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2137 | if (!eps->rg) PetscCall(EPSGetRG(eps,&eps->rg)); |
| 1528 |
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2137 | PetscCall(RGSetOptionsPrefix(eps->rg,prefix)); |
| 1529 |
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2137 | PetscCall(PetscObjectSetOptionsPrefix((PetscObject)eps,prefix)); |
| 1530 |
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415 | PetscFunctionReturn(PETSC_SUCCESS); |
| 1531 | } | ||
| 1532 | |||
| 1533 | /*@ | ||
| 1534 | EPSAppendOptionsPrefix - Appends to the prefix used for searching for all | ||
| 1535 | EPS options in the database. | ||
| 1536 | |||
| 1537 | Logically Collective | ||
| 1538 | |||
| 1539 | Input Parameters: | ||
| 1540 | + eps - the eigensolver context | ||
| 1541 | - prefix - the prefix string to prepend to all EPS option requests | ||
| 1542 | |||
| 1543 | Notes: | ||
| 1544 | A hyphen (-) must NOT be given at the beginning of the prefix name. | ||
| 1545 | The first character of all runtime options is AUTOMATICALLY the hyphen. | ||
| 1546 | |||
| 1547 | Level: advanced | ||
| 1548 | |||
| 1549 | .seealso: EPSSetOptionsPrefix(), EPSGetOptionsPrefix() | ||
| 1550 | @*/ | ||
| 1551 | 1686 | PetscErrorCode EPSAppendOptionsPrefix(EPS eps,const char *prefix) | |
| 1552 | { | ||
| 1553 |
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1686 | PetscFunctionBegin; |
| 1554 |
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1686 | PetscValidHeaderSpecific(eps,EPS_CLASSID,1); |
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1686 | if (!eps->st) PetscCall(EPSGetST(eps,&eps->st)); |
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1686 | PetscCall(STAppendOptionsPrefix(eps->st,prefix)); |
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1686 | if (!eps->V) PetscCall(EPSGetBV(eps,&eps->V)); |
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1686 | PetscCall(BVAppendOptionsPrefix(eps->V,prefix)); |
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1686 | if (!eps->ds) PetscCall(EPSGetDS(eps,&eps->ds)); |
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1686 | PetscCall(DSAppendOptionsPrefix(eps->ds,prefix)); |
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1686 | if (!eps->rg) PetscCall(EPSGetRG(eps,&eps->rg)); |
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1686 | PetscCall(RGAppendOptionsPrefix(eps->rg,prefix)); |
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1686 | PetscCall(PetscObjectAppendOptionsPrefix((PetscObject)eps,prefix)); |
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333 | PetscFunctionReturn(PETSC_SUCCESS); |
| 1565 | } | ||
| 1566 | |||
| 1567 | /*@ | ||
| 1568 | EPSGetOptionsPrefix - Gets the prefix used for searching for all | ||
| 1569 | EPS options in the database. | ||
| 1570 | |||
| 1571 | Not Collective | ||
| 1572 | |||
| 1573 | Input Parameters: | ||
| 1574 | . eps - the eigensolver context | ||
| 1575 | |||
| 1576 | Output Parameters: | ||
| 1577 | . prefix - pointer to the prefix string used is returned | ||
| 1578 | |||
| 1579 | Note: | ||
| 1580 | On the Fortran side, the user should pass in a string 'prefix' of | ||
| 1581 | sufficient length to hold the prefix. | ||
| 1582 | |||
| 1583 | Level: advanced | ||
| 1584 | |||
| 1585 | .seealso: EPSSetOptionsPrefix(), EPSAppendOptionsPrefix() | ||
| 1586 | @*/ | ||
| 1587 | 318 | PetscErrorCode EPSGetOptionsPrefix(EPS eps,const char *prefix[]) | |
| 1588 | { | ||
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318 | PetscFunctionBegin; |
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318 | PetscValidHeaderSpecific(eps,EPS_CLASSID,1); |
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318 | PetscAssertPointer(prefix,2); |
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318 | PetscCall(PetscObjectGetOptionsPrefix((PetscObject)eps,prefix)); |
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54 | PetscFunctionReturn(PETSC_SUCCESS); |
| 1594 | } | ||
| 1595 |