Date: 2018-10-23T10:31:00+00:00

Actual source code: epsopts.c
slepc-3.10.1 2018-10-23
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      1: /*
      2:    - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
      3:    SLEPc - Scalable Library for Eigenvalue Problem Computations
      4:    Copyright (c) 2002-2018, Universitat Politecnica de Valencia, Spain

      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: */

     15: #include <slepc/private/epsimpl.h>   /*I "slepceps.h" I*/
     16: #include <petscdraw.h>

     18: /*@C
     19:    EPSMonitorSetFromOptions - Sets a monitor function and viewer appropriate for the type
     20:    indicated by the user.

     22:    Collective on EPS

     24:    Input Parameters:
     25: +  eps      - the eigensolver context
     26: .  name     - the monitor option name
     27: .  help     - message indicating what monitoring is done
     28: .  manual   - manual page for the monitor
     29: .  monitor  - the monitor function, whose context is a PetscViewerAndFormat
     30: -  trackall - whether this monitor tracks all eigenvalues or not

     32:    Level: developer

     34: .seealso: EPSMonitorSet(), EPSSetTrackAll(), EPSConvMonitorSetFromOptions()
     35: @*/
     36: PetscErrorCode EPSMonitorSetFromOptions(EPS eps,const char name[],const char help[],const char manual[],PetscErrorCode (*monitor)(EPS,PetscInt,PetscInt,PetscScalar*,PetscScalar*,PetscReal*,PetscInt,PetscViewerAndFormat*),PetscBool trackall)
     37: {
     38:   PetscErrorCode       ierr;
     39:   PetscBool            flg;
     40:   PetscViewer          viewer;
     41:   PetscViewerFormat    format;
     42:   PetscViewerAndFormat *vf;

     45:   PetscOptionsGetViewer(PetscObjectComm((PetscObject)eps),((PetscObject)eps)->prefix,name,&viewer,&format,&flg);
     46:   if (flg) {
     47:     PetscViewerAndFormatCreate(viewer,format,&vf);
     48:     PetscObjectDereference((PetscObject)viewer);
     49:     EPSMonitorSet(eps,(PetscErrorCode (*)(EPS,PetscInt,PetscInt,PetscScalar*,PetscScalar*,PetscReal*,PetscInt,void*))monitor,vf,(PetscErrorCode (*)(void**))PetscViewerAndFormatDestroy);
     50:     if (trackall) {
     51:       EPSSetTrackAll(eps,PETSC_TRUE);
     52:     }
     53:   }
     54:   return(0);
     55: }

     57: /*@C
     58:    EPSConvMonitorSetFromOptions - Sets a monitor function and viewer appropriate for the type
     59:    indicated by the user (for monitors that only show iteration numbers of convergence).

     61:    Collective on EPS

     63:    Input Parameters:
     64: +  eps      - the eigensolver context
     65: .  name     - the monitor option name
     66: .  help     - message indicating what monitoring is done
     67: .  manual   - manual page for the monitor
     68: -  monitor  - the monitor function, whose context is a SlepcConvMonitor

     70:    Level: developer

     72: .seealso: EPSMonitorSet(), EPSMonitorSetFromOptions()
     73: @*/
     74: PetscErrorCode EPSConvMonitorSetFromOptions(EPS eps,const char name[],const char help[],const char manual[],PetscErrorCode (*monitor)(EPS,PetscInt,PetscInt,PetscScalar*,PetscScalar*,PetscReal*,PetscInt,SlepcConvMonitor))
     75: {
     76:   PetscErrorCode    ierr;
     77:   PetscBool         flg;
     78:   PetscViewer       viewer;
     79:   PetscViewerFormat format;
     80:   SlepcConvMonitor  ctx;

     83:   PetscOptionsGetViewer(PetscObjectComm((PetscObject)eps),((PetscObject)eps)->prefix,name,&viewer,&format,&flg);
     84:   if (flg) {
     85:     SlepcConvMonitorCreate(viewer,format,&ctx);
     86:     PetscObjectDereference((PetscObject)viewer);
     87:     EPSMonitorSet(eps,(PetscErrorCode (*)(EPS,PetscInt,PetscInt,PetscScalar*,PetscScalar*,PetscReal*,PetscInt,void*))monitor,ctx,(PetscErrorCode (*)(void**))SlepcConvMonitorDestroy);
     88:   }
     89:   return(0);
     90: }

     92: /*@
     93:    EPSSetFromOptions - Sets EPS options from the options database.
     94:    This routine must be called before EPSSetUp() if the user is to be
     95:    allowed to set the solver type.

     97:    Collective on EPS

     99:    Input Parameters:
    100: .  eps - the eigensolver context

    102:    Notes:
    103:    To see all options, run your program with the -help option.

    105:    Level: beginner
    106: @*/
    107: PetscErrorCode EPSSetFromOptions(EPS eps)
    108: {
    110:   char           type[256];
    111:   PetscBool      set,flg,flg1,flg2,flg3,purif;
    112:   PetscReal      r,array[2]={0,0};
    113:   PetscScalar    s;
    114:   PetscInt       i,j,k;
    115:   PetscDrawLG    lg;
    116:   EPSBalance     bal;

    120:   EPSRegisterAll();
    121:   PetscObjectOptionsBegin((PetscObject)eps);
    122:     PetscOptionsFList("-eps_type","Eigensolver method","EPSSetType",EPSList,(char*)(((PetscObject)eps)->type_name?((PetscObject)eps)->type_name:EPSKRYLOVSCHUR),type,256,&flg);
    123:     if (flg) {
    124:       EPSSetType(eps,type);
    125:     } else if (!((PetscObject)eps)->type_name) {
    126:       EPSSetType(eps,EPSKRYLOVSCHUR);
    127:     }

    129:     PetscOptionsBoolGroupBegin("-eps_hermitian","Hermitian eigenvalue problem","EPSSetProblemType",&flg);
    130:     if (flg) { EPSSetProblemType(eps,EPS_HEP); }
    131:     PetscOptionsBoolGroup("-eps_gen_hermitian","Generalized Hermitian eigenvalue problem","EPSSetProblemType",&flg);
    132:     if (flg) { EPSSetProblemType(eps,EPS_GHEP); }
    133:     PetscOptionsBoolGroup("-eps_non_hermitian","Non-Hermitian eigenvalue problem","EPSSetProblemType",&flg);
    134:     if (flg) { EPSSetProblemType(eps,EPS_NHEP); }
    135:     PetscOptionsBoolGroup("-eps_gen_non_hermitian","Generalized non-Hermitian eigenvalue problem","EPSSetProblemType",&flg);
    136:     if (flg) { EPSSetProblemType(eps,EPS_GNHEP); }
    137:     PetscOptionsBoolGroup("-eps_pos_gen_non_hermitian","Generalized non-Hermitian eigenvalue problem with positive semi-definite B","EPSSetProblemType",&flg);
    138:     if (flg) { EPSSetProblemType(eps,EPS_PGNHEP); }
    139:     PetscOptionsBoolGroupEnd("-eps_gen_indefinite","Generalized Hermitian-indefinite eigenvalue problem","EPSSetProblemType",&flg);
    140:     if (flg) { EPSSetProblemType(eps,EPS_GHIEP); }

    142:     PetscOptionsBoolGroupBegin("-eps_ritz","Rayleigh-Ritz extraction","EPSSetExtraction",&flg);
    143:     if (flg) { EPSSetExtraction(eps,EPS_RITZ); }
    144:     PetscOptionsBoolGroup("-eps_harmonic","Harmonic Ritz extraction","EPSSetExtraction",&flg);
    145:     if (flg) { EPSSetExtraction(eps,EPS_HARMONIC); }
    146:     PetscOptionsBoolGroup("-eps_harmonic_relative","Relative harmonic Ritz extraction","EPSSetExtraction",&flg);
    147:     if (flg) { EPSSetExtraction(eps,EPS_HARMONIC_RELATIVE); }
    148:     PetscOptionsBoolGroup("-eps_harmonic_right","Right harmonic Ritz extraction","EPSSetExtraction",&flg);
    149:     if (flg) { EPSSetExtraction(eps,EPS_HARMONIC_RIGHT); }
    150:     PetscOptionsBoolGroup("-eps_harmonic_largest","Largest harmonic Ritz extraction","EPSSetExtraction",&flg);
    151:     if (flg) { EPSSetExtraction(eps,EPS_HARMONIC_LARGEST); }
    152:     PetscOptionsBoolGroup("-eps_refined","Refined Ritz extraction","EPSSetExtraction",&flg);
    153:     if (flg) { EPSSetExtraction(eps,EPS_REFINED); }
    154:     PetscOptionsBoolGroupEnd("-eps_refined_harmonic","Refined harmonic Ritz extraction","EPSSetExtraction",&flg);
    155:     if (flg) { EPSSetExtraction(eps,EPS_REFINED_HARMONIC); }

    157:     bal = eps->balance;
    158:     PetscOptionsEnum("-eps_balance","Balancing method","EPSSetBalance",EPSBalanceTypes,(PetscEnum)bal,(PetscEnum*)&bal,&flg1);
    159:     j = eps->balance_its;
    160:     PetscOptionsInt("-eps_balance_its","Number of iterations in balancing","EPSSetBalance",eps->balance_its,&j,&flg2);
    161:     r = eps->balance_cutoff;
    162:     PetscOptionsReal("-eps_balance_cutoff","Cutoff value in balancing","EPSSetBalance",eps->balance_cutoff,&r,&flg3);
    163:     if (flg1 || flg2 || flg3) { EPSSetBalance(eps,bal,j,r); }

    165:     i = eps->max_it? eps->max_it: PETSC_DEFAULT;
    166:     PetscOptionsInt("-eps_max_it","Maximum number of iterations","EPSSetTolerances",eps->max_it,&i,&flg1);
    167:     r = eps->tol;
    168:     PetscOptionsReal("-eps_tol","Tolerance","EPSSetTolerances",eps->tol==PETSC_DEFAULT?SLEPC_DEFAULT_TOL:eps->tol,&r,&flg2);
    169:     if (flg1 || flg2) { EPSSetTolerances(eps,r,i); }

    171:     PetscOptionsBoolGroupBegin("-eps_conv_rel","Relative error convergence test","EPSSetConvergenceTest",&flg);
    172:     if (flg) { EPSSetConvergenceTest(eps,EPS_CONV_REL); }
    173:     PetscOptionsBoolGroup("-eps_conv_norm","Convergence test relative to the eigenvalue and the matrix norms","EPSSetConvergenceTest",&flg);
    174:     if (flg) { EPSSetConvergenceTest(eps,EPS_CONV_NORM); }
    175:     PetscOptionsBoolGroup("-eps_conv_abs","Absolute error convergence test","EPSSetConvergenceTest",&flg);
    176:     if (flg) { EPSSetConvergenceTest(eps,EPS_CONV_ABS); }
    177:     PetscOptionsBoolGroupEnd("-eps_conv_user","User-defined convergence test","EPSSetConvergenceTest",&flg);
    178:     if (flg) { EPSSetConvergenceTest(eps,EPS_CONV_USER); }

    180:     PetscOptionsBoolGroupBegin("-eps_stop_basic","Stop iteration if all eigenvalues converged or max_it reached","EPSSetStoppingTest",&flg);
    181:     if (flg) { EPSSetStoppingTest(eps,EPS_STOP_BASIC); }
    182:     PetscOptionsBoolGroupEnd("-eps_stop_user","User-defined stopping test","EPSSetStoppingTest",&flg);
    183:     if (flg) { EPSSetStoppingTest(eps,EPS_STOP_USER); }

    185:     i = eps->nev;
    186:     PetscOptionsInt("-eps_nev","Number of eigenvalues to compute","EPSSetDimensions",eps->nev,&i,&flg1);
    187:     j = eps->ncv? eps->ncv: PETSC_DEFAULT;
    188:     PetscOptionsInt("-eps_ncv","Number of basis vectors","EPSSetDimensions",eps->ncv,&j,&flg2);
    189:     k = eps->mpd? eps->mpd: PETSC_DEFAULT;
    190:     PetscOptionsInt("-eps_mpd","Maximum dimension of projected problem","EPSSetDimensions",eps->mpd,&k,&flg3);
    191:     if (flg1 || flg2 || flg3) { EPSSetDimensions(eps,i,j,k); }

    193:     PetscOptionsBoolGroupBegin("-eps_largest_magnitude","Compute largest eigenvalues in magnitude","EPSSetWhichEigenpairs",&flg);
    194:     if (flg) { EPSSetWhichEigenpairs(eps,EPS_LARGEST_MAGNITUDE); }
    195:     PetscOptionsBoolGroup("-eps_smallest_magnitude","Compute smallest eigenvalues in magnitude","EPSSetWhichEigenpairs",&flg);
    196:     if (flg) { EPSSetWhichEigenpairs(eps,EPS_SMALLEST_MAGNITUDE); }
    197:     PetscOptionsBoolGroup("-eps_largest_real","Compute eigenvalues with largest real parts","EPSSetWhichEigenpairs",&flg);
    198:     if (flg) { EPSSetWhichEigenpairs(eps,EPS_LARGEST_REAL); }
    199:     PetscOptionsBoolGroup("-eps_smallest_real","Compute eigenvalues with smallest real parts","EPSSetWhichEigenpairs",&flg);
    200:     if (flg) { EPSSetWhichEigenpairs(eps,EPS_SMALLEST_REAL); }
    201:     PetscOptionsBoolGroup("-eps_largest_imaginary","Compute eigenvalues with largest imaginary parts","EPSSetWhichEigenpairs",&flg);
    202:     if (flg) { EPSSetWhichEigenpairs(eps,EPS_LARGEST_IMAGINARY); }
    203:     PetscOptionsBoolGroup("-eps_smallest_imaginary","Compute eigenvalues with smallest imaginary parts","EPSSetWhichEigenpairs",&flg);
    204:     if (flg) { EPSSetWhichEigenpairs(eps,EPS_SMALLEST_IMAGINARY); }
    205:     PetscOptionsBoolGroup("-eps_target_magnitude","Compute eigenvalues closest to target","EPSSetWhichEigenpairs",&flg);
    206:     if (flg) { EPSSetWhichEigenpairs(eps,EPS_TARGET_MAGNITUDE); }
    207:     PetscOptionsBoolGroup("-eps_target_real","Compute eigenvalues with real parts closest to target","EPSSetWhichEigenpairs",&flg);
    208:     if (flg) { EPSSetWhichEigenpairs(eps,EPS_TARGET_REAL); }
    209:     PetscOptionsBoolGroup("-eps_target_imaginary","Compute eigenvalues with imaginary parts closest to target","EPSSetWhichEigenpairs",&flg);
    210:     if (flg) { EPSSetWhichEigenpairs(eps,EPS_TARGET_IMAGINARY); }
    211:     PetscOptionsBoolGroupEnd("-eps_all","Compute all eigenvalues in an interval or a region","EPSSetWhichEigenpairs",&flg);
    212:     if (flg) { EPSSetWhichEigenpairs(eps,EPS_ALL); }

    214:     PetscOptionsScalar("-eps_target","Value of the target","EPSSetTarget",eps->target,&s,&flg);
    215:     if (flg) {
    216:       if (eps->which!=EPS_TARGET_REAL && eps->which!=EPS_TARGET_IMAGINARY) {
    217:         EPSSetWhichEigenpairs(eps,EPS_TARGET_MAGNITUDE);
    218:       }
    219:       EPSSetTarget(eps,s);
    220:     }

    222:     k = 2;
    223:     PetscOptionsRealArray("-eps_interval","Computational interval (two real values separated with a comma without spaces)","EPSSetInterval",array,&k,&flg);
    224:     if (flg) {
    225:       if (k<2) SETERRQ(PetscObjectComm((PetscObject)eps),PETSC_ERR_ARG_SIZ,"Must pass two values in -eps_interval (comma-separated without spaces)");
    226:       EPSSetWhichEigenpairs(eps,EPS_ALL);
    227:       EPSSetInterval(eps,array[0],array[1]);
    228:     }

    230:     PetscOptionsBool("-eps_true_residual","Compute true residuals explicitly","EPSSetTrueResidual",eps->trueres,&eps->trueres,NULL);
    231:     PetscOptionsBool("-eps_purify","Postprocess eigenvectors for purification","EPSSetPurify",eps->purify,&purif,&flg);
    232:     if (flg) { EPSSetPurify(eps,purif); }

    234:     /* -----------------------------------------------------------------------*/
    235:     /*
    236:       Cancels all monitors hardwired into code before call to EPSSetFromOptions()
    237:     */
    238:     PetscOptionsBool("-eps_monitor_cancel","Remove any hardwired monitor routines","EPSMonitorCancel",PETSC_FALSE,&flg,&set);
    239:     if (set && flg) {
    240:       EPSMonitorCancel(eps);
    241:     }
    242:     /*
    243:       Text monitors
    244:     */
    245:     EPSMonitorSetFromOptions(eps,"-eps_monitor","Monitor first unconverged approximate eigenvalue and error estimate","EPSMonitorFirst",EPSMonitorFirst,PETSC_FALSE);
    246:     EPSConvMonitorSetFromOptions(eps,"-eps_monitor_conv","Monitor approximate eigenvalues and error estimates as they converge","EPSMonitorConverged",EPSMonitorConverged);
    247:     EPSMonitorSetFromOptions(eps,"-eps_monitor_all","Monitor approximate eigenvalues and error estimates","EPSMonitorAll",EPSMonitorAll,PETSC_TRUE);
    248:     /*
    249:       Line graph monitors
    250:     */
    251:     PetscOptionsBool("-eps_monitor_lg","Monitor first unconverged approximate eigenvalue and error estimate graphically","EPSMonitorSet",PETSC_FALSE,&flg,&set);
    252:     if (set && flg) {
    253:       EPSMonitorLGCreate(PetscObjectComm((PetscObject)eps),NULL,"Error estimates",PETSC_DECIDE,PETSC_DECIDE,300,300,&lg);
    254:       EPSMonitorSet(eps,EPSMonitorLG,lg,(PetscErrorCode (*)(void**))PetscDrawLGDestroy);
    255:     }
    256:     PetscOptionsBool("-eps_monitor_lg_all","Monitor error estimates graphically","EPSMonitorSet",PETSC_FALSE,&flg,&set);
    257:     if (set && flg) {
    258:       EPSMonitorLGCreate(PetscObjectComm((PetscObject)eps),NULL,"Error estimates",PETSC_DECIDE,PETSC_DECIDE,300,300,&lg);
    259:       EPSMonitorSet(eps,EPSMonitorLGAll,lg,(PetscErrorCode (*)(void**))PetscDrawLGDestroy);
    260:       EPSSetTrackAll(eps,PETSC_TRUE);
    261:     }

    263:     /* -----------------------------------------------------------------------*/
    264:     PetscOptionsName("-eps_view","Print detailed information on solver used","EPSView",NULL);
    265:     PetscOptionsName("-eps_view_vectors","View computed eigenvectors","EPSVectorsView",NULL);
    266:     PetscOptionsName("-eps_view_values","View computed eigenvalues","EPSValuesView",NULL);
    267:     PetscOptionsName("-eps_converged_reason","Print reason for convergence, and number of iterations","EPSReasonView",NULL);
    268:     PetscOptionsName("-eps_error_absolute","Print absolute errors of each eigenpair","EPSErrorView",NULL);
    269:     PetscOptionsName("-eps_error_relative","Print relative errors of each eigenpair","EPSErrorView",NULL);
    270:     PetscOptionsName("-eps_error_backward","Print backward errors of each eigenpair","EPSErrorView",NULL);

    272:     if (eps->ops->setfromoptions) {
    273:       (*eps->ops->setfromoptions)(PetscOptionsObject,eps);
    274:     }
    275:     PetscObjectProcessOptionsHandlers(PetscOptionsObject,(PetscObject)eps);
    276:   PetscOptionsEnd();

    278:   if (!eps->V) { EPSGetBV(eps,&eps->V); }
    279:   BVSetFromOptions(eps->V);
    280:   if (!eps->rg) { EPSGetRG(eps,&eps->rg); }
    281:   RGSetFromOptions(eps->rg);
    282:   if (eps->useds) {
    283:     if (!eps->ds) { EPSGetDS(eps,&eps->ds); }
    284:     DSSetFromOptions(eps->ds);
    285:   }
    286:   if (!eps->st) { EPSGetST(eps,&eps->st); }
    287:   EPSSetDefaultST(eps);
    288:   STSetFromOptions(eps->st);
    289:   return(0);
    290: }

    292: /*@C
    293:    EPSGetTolerances - Gets the tolerance and maximum iteration count used
    294:    by the EPS convergence tests.

    296:    Not Collective

    298:    Input Parameter:
    299: .  eps - the eigensolver context

    301:    Output Parameters:
    302: +  tol - the convergence tolerance
    303: -  maxits - maximum number of iterations

    305:    Notes:
    306:    The user can specify NULL for any parameter that is not needed.

    308:    Level: intermediate

    310: .seealso: EPSSetTolerances()
    311: @*/
    312: PetscErrorCode EPSGetTolerances(EPS eps,PetscReal *tol,PetscInt *maxits)
    313: {
    316:   if (tol)    *tol    = eps->tol;
    317:   if (maxits) *maxits = eps->max_it;
    318:   return(0);
    319: }

    321: /*@
    322:    EPSSetTolerances - Sets the tolerance and maximum iteration count used
    323:    by the EPS convergence tests.

    325:    Logically Collective on EPS

    327:    Input Parameters:
    328: +  eps - the eigensolver context
    329: .  tol - the convergence tolerance
    330: -  maxits - maximum number of iterations to use

    332:    Options Database Keys:
    333: +  -eps_tol <tol> - Sets the convergence tolerance
    334: -  -eps_max_it <maxits> - Sets the maximum number of iterations allowed

    336:    Notes:
    337:    Use PETSC_DEFAULT for either argument to assign a reasonably good value.

    339:    Level: intermediate

    341: .seealso: EPSGetTolerances()
    342: @*/
    343: PetscErrorCode EPSSetTolerances(EPS eps,PetscReal tol,PetscInt maxits)
    344: {
    349:   if (tol == PETSC_DEFAULT) {
    350:     eps->tol   = PETSC_DEFAULT;
    351:     eps->state = EPS_STATE_INITIAL;
    352:   } else {
    353:     if (tol <= 0.0) SETERRQ(PetscObjectComm((PetscObject)eps),PETSC_ERR_ARG_OUTOFRANGE,"Illegal value of tol. Must be > 0");
    354:     eps->tol = tol;
    355:   }
    356:   if (maxits == PETSC_DEFAULT || maxits == PETSC_DECIDE) {
    357:     eps->max_it = 0;
    358:     eps->state  = EPS_STATE_INITIAL;
    359:   } else {
    360:     if (maxits <= 0) SETERRQ(PetscObjectComm((PetscObject)eps),PETSC_ERR_ARG_OUTOFRANGE,"Illegal value of maxits. Must be > 0");
    361:     eps->max_it = maxits;
    362:   }
    363:   return(0);
    364: }

    366: /*@C
    367:    EPSGetDimensions - Gets the number of eigenvalues to compute
    368:    and the dimension of the subspace.

    370:    Not Collective

    372:    Input Parameter:
    373: .  eps - the eigensolver context

    375:    Output Parameters:
    376: +  nev - number of eigenvalues to compute
    377: .  ncv - the maximum dimension of the subspace to be used by the solver
    378: -  mpd - the maximum dimension allowed for the projected problem

    380:    Level: intermediate

    382: .seealso: EPSSetDimensions()
    383: @*/
    384: PetscErrorCode EPSGetDimensions(EPS eps,PetscInt *nev,PetscInt *ncv,PetscInt *mpd)
    385: {
    388:   if (nev) *nev = eps->nev;
    389:   if (ncv) *ncv = eps->ncv;
    390:   if (mpd) *mpd = eps->mpd;
    391:   return(0);
    392: }

    394: /*@
    395:    EPSSetDimensions - Sets the number of eigenvalues to compute
    396:    and the dimension of the subspace.

    398:    Logically Collective on EPS

    400:    Input Parameters:
    401: +  eps - the eigensolver context
    402: .  nev - number of eigenvalues to compute
    403: .  ncv - the maximum dimension of the subspace to be used by the solver
    404: -  mpd - the maximum dimension allowed for the projected problem

    406:    Options Database Keys:
    407: +  -eps_nev <nev> - Sets the number of eigenvalues
    408: .  -eps_ncv <ncv> - Sets the dimension of the subspace
    409: -  -eps_mpd <mpd> - Sets the maximum projected dimension

    411:    Notes:
    412:    Use PETSC_DEFAULT for ncv and mpd to assign a reasonably good value, which is
    413:    dependent on the solution method.

    415:    The parameters ncv and mpd are intimately related, so that the user is advised
    416:    to set one of them at most. Normal usage is that
    417:    (a) in cases where nev is small, the user sets ncv (a reasonable default is 2*nev); and
    418:    (b) in cases where nev is large, the user sets mpd.

    420:    The value of ncv should always be between nev and (nev+mpd), typically
    421:    ncv=nev+mpd. If nev is not too large, mpd=nev is a reasonable choice, otherwise
    422:    a smaller value should be used.

    424:    When computing all eigenvalues in an interval, see EPSSetInterval(), these
    425:    parameters lose relevance, and tuning must be done with
    426:    EPSKrylovSchurSetDimensions().

    428:    Level: intermediate

    430: .seealso: EPSGetDimensions(), EPSSetInterval(), EPSKrylovSchurSetDimensions()
    431: @*/
    432: PetscErrorCode EPSSetDimensions(EPS eps,PetscInt nev,PetscInt ncv,PetscInt mpd)
    433: {
    439:   if (nev<1) SETERRQ(PetscObjectComm((PetscObject)eps),PETSC_ERR_ARG_OUTOFRANGE,"Illegal value of nev. Must be > 0");
    440:   eps->nev = nev;
    441:   if (ncv == PETSC_DECIDE || ncv == PETSC_DEFAULT) {
    442:     eps->ncv = 0;
    443:   } else {
    444:     if (ncv<1) SETERRQ(PetscObjectComm((PetscObject)eps),PETSC_ERR_ARG_OUTOFRANGE,"Illegal value of ncv. Must be > 0");
    445:     eps->ncv = ncv;
    446:   }
    447:   if (mpd == PETSC_DECIDE || mpd == PETSC_DEFAULT) {
    448:     eps->mpd = 0;
    449:   } else {
    450:     if (mpd<1) SETERRQ(PetscObjectComm((PetscObject)eps),PETSC_ERR_ARG_OUTOFRANGE,"Illegal value of mpd. Must be > 0");
    451:     eps->mpd = mpd;
    452:   }
    453:   eps->state = EPS_STATE_INITIAL;
    454:   return(0);
    455: }

    457: /*@
    458:    EPSSetWhichEigenpairs - Specifies which portion of the spectrum is
    459:    to be sought.

    461:    Logically Collective on EPS

    463:    Input Parameters:
    464: +  eps   - eigensolver context obtained from EPSCreate()
    465: -  which - the portion of the spectrum to be sought

    467:    Possible values:
    468:    The parameter 'which' can have one of these values

    470: +     EPS_LARGEST_MAGNITUDE - largest eigenvalues in magnitude (default)
    471: .     EPS_SMALLEST_MAGNITUDE - smallest eigenvalues in magnitude
    472: .     EPS_LARGEST_REAL - largest real parts
    473: .     EPS_SMALLEST_REAL - smallest real parts
    474: .     EPS_LARGEST_IMAGINARY - largest imaginary parts
    475: .     EPS_SMALLEST_IMAGINARY - smallest imaginary parts
    476: .     EPS_TARGET_MAGNITUDE - eigenvalues closest to the target (in magnitude)
    477: .     EPS_TARGET_REAL - eigenvalues with real part closest to target
    478: .     EPS_TARGET_IMAGINARY - eigenvalues with imaginary part closest to target
    479: .     EPS_ALL - all eigenvalues contained in a given interval or region
    480: -     EPS_WHICH_USER - user defined ordering set with EPSSetEigenvalueComparison()

    482:    Options Database Keys:
    483: +   -eps_largest_magnitude - Sets largest eigenvalues in magnitude
    484: .   -eps_smallest_magnitude - Sets smallest eigenvalues in magnitude
    485: .   -eps_largest_real - Sets largest real parts
    486: .   -eps_smallest_real - Sets smallest real parts
    487: .   -eps_largest_imaginary - Sets largest imaginary parts
    488: .   -eps_smallest_imaginary - Sets smallest imaginary parts
    489: .   -eps_target_magnitude - Sets eigenvalues closest to target
    490: .   -eps_target_real - Sets real parts closest to target
    491: .   -eps_target_imaginary - Sets imaginary parts closest to target
    492: -   -eps_all - Sets all eigenvalues in an interval or region

    494:    Notes:
    495:    Not all eigensolvers implemented in EPS account for all the possible values
    496:    stated above. Also, some values make sense only for certain types of
    497:    problems. If SLEPc is compiled for real numbers EPS_LARGEST_IMAGINARY
    498:    and EPS_SMALLEST_IMAGINARY use the absolute value of the imaginary part
    499:    for eigenvalue selection.

    501:    The target is a scalar value provided with EPSSetTarget().

    503:    The criterion EPS_TARGET_IMAGINARY is available only in case PETSc and
    504:    SLEPc have been built with complex scalars.

    506:    EPS_ALL is intended for use in combination with an interval (see
    507:    EPSSetInterval()), when all eigenvalues within the interval are requested,
    508:    or in the context of the CISS solver for computing all eigenvalues in a region.
    509:    In those cases, the number of eigenvalues is unknown, so the nev parameter
    510:    has a different sense, see EPSSetDimensions().

    512:    Level: intermediate

    514: .seealso: EPSGetWhichEigenpairs(), EPSSetTarget(), EPSSetInterval(),
    515:           EPSSetDimensions(), EPSSetEigenvalueComparison(), EPSWhich
    516: @*/
    517: PetscErrorCode EPSSetWhichEigenpairs(EPS eps,EPSWhich which)
    518: {
    522:   switch (which) {
    523:     case EPS_LARGEST_MAGNITUDE:
    524:     case EPS_SMALLEST_MAGNITUDE:
    525:     case EPS_LARGEST_REAL:
    526:     case EPS_SMALLEST_REAL:
    527:     case EPS_LARGEST_IMAGINARY:
    528:     case EPS_SMALLEST_IMAGINARY:
    529:     case EPS_TARGET_MAGNITUDE:
    530:     case EPS_TARGET_REAL:
    531: #if defined(PETSC_USE_COMPLEX)
    532:     case EPS_TARGET_IMAGINARY:
    533: #endif
    534:     case EPS_ALL:
    535:     case EPS_WHICH_USER:
    536:       if (eps->which != which) {
    537:         eps->state = EPS_STATE_INITIAL;
    538:         eps->which = which;
    539:       }
    540:       break;
    541:     default:
    542:       SETERRQ(PetscObjectComm((PetscObject)eps),PETSC_ERR_ARG_OUTOFRANGE,"Invalid 'which' value");
    543:   }
    544:   return(0);
    545: }

    547: /*@
    548:    EPSGetWhichEigenpairs - Returns which portion of the spectrum is to be
    549:    sought.

    551:    Not Collective

    553:    Input Parameter:
    554: .  eps - eigensolver context obtained from EPSCreate()

    556:    Output Parameter:
    557: .  which - the portion of the spectrum to be sought

    559:    Notes:
    560:    See EPSSetWhichEigenpairs() for possible values of 'which'.

    562:    Level: intermediate

    564: .seealso: EPSSetWhichEigenpairs(), EPSWhich
    565: @*/
    566: PetscErrorCode EPSGetWhichEigenpairs(EPS eps,EPSWhich *which)
    567: {
    571:   *which = eps->which;
    572:   return(0);
    573: }

    575: /*@C
    576:    EPSSetEigenvalueComparison - Specifies the eigenvalue comparison function
    577:    when EPSSetWhichEigenpairs() is set to EPS_WHICH_USER.

    579:    Logically Collective on EPS

    581:    Input Parameters:
    582: +  eps  - eigensolver context obtained from EPSCreate()
    583: .  func - a pointer to the comparison function
    584: -  ctx  - a context pointer (the last parameter to the comparison function)

    586:    Calling Sequence of func:
    587: $   func(PetscScalar ar,PetscScalar ai,PetscScalar br,PetscScalar bi,PetscInt *res,void *ctx)

    589: +   ar     - real part of the 1st eigenvalue
    590: .   ai     - imaginary part of the 1st eigenvalue
    591: .   br     - real part of the 2nd eigenvalue
    592: .   bi     - imaginary part of the 2nd eigenvalue
    593: .   res    - result of comparison
    594: -   ctx    - optional context, as set by EPSSetEigenvalueComparison()

    596:    Note:
    597:    The returning parameter 'res' can be
    598: +  negative - if the 1st eigenvalue is preferred to the 2st one
    599: .  zero     - if both eigenvalues are equally preferred
    600: -  positive - if the 2st eigenvalue is preferred to the 1st one

    602:    Level: advanced

    604: .seealso: EPSSetWhichEigenpairs(), EPSWhich
    605: @*/
    606: PetscErrorCode EPSSetEigenvalueComparison(EPS eps,PetscErrorCode (*func)(PetscScalar,PetscScalar,PetscScalar,PetscScalar,PetscInt*,void*),void* ctx)
    607: {
    610:   eps->sc->comparison    = func;
    611:   eps->sc->comparisonctx = ctx;
    612:   eps->which             = EPS_WHICH_USER;
    613:   return(0);
    614: }

    616: /*@C
    617:    EPSSetArbitrarySelection - Specifies a function intended to look for
    618:    eigenvalues according to an arbitrary selection criterion. This criterion
    619:    can be based on a computation involving the current eigenvector approximation.

    621:    Logically Collective on EPS

    623:    Input Parameters:
    624: +  eps  - eigensolver context obtained from EPSCreate()
    625: .  func - a pointer to the evaluation function
    626: -  ctx  - a context pointer (the last parameter to the evaluation function)

    628:    Calling Sequence of func:
    629: $   func(PetscScalar er,PetscScalar ei,Vec xr,Vec xi,PetscScalar *rr,PetscScalar *ri,void *ctx)

    631: +   er     - real part of the current eigenvalue approximation
    632: .   ei     - imaginary part of the current eigenvalue approximation
    633: .   xr     - real part of the current eigenvector approximation
    634: .   xi     - imaginary part of the current eigenvector approximation
    635: .   rr     - result of evaluation (real part)
    636: .   ri     - result of evaluation (imaginary part)
    637: -   ctx    - optional context, as set by EPSSetArbitrarySelection()

    639:    Notes:
    640:    This provides a mechanism to select eigenpairs by evaluating a user-defined
    641:    function. When a function has been provided, the default selection based on
    642:    sorting the eigenvalues is replaced by the sorting of the results of this
    643:    function (with the same sorting criterion given in EPSSetWhichEigenpairs()).

    645:    For instance, suppose you want to compute those eigenvectors that maximize
    646:    a certain computable expression. Then implement the computation using
    647:    the arguments xr and xi, and return the result in rr. Then set the standard
    648:    sorting by magnitude so that the eigenpair with largest value of rr is
    649:    selected.

    651:    This evaluation function is collective, that is, all processes call it and
    652:    it can use collective operations; furthermore, the computed result must
    653:    be the same in all processes.

    655:    The result of func is expressed as a complex number so that it is possible to
    656:    use the standard eigenvalue sorting functions, but normally only rr is used.
    657:    Set ri to zero unless it is meaningful in your application.

    659:    Level: advanced

    661: .seealso: EPSSetWhichEigenpairs()
    662: @*/
    663: PetscErrorCode EPSSetArbitrarySelection(EPS eps,PetscErrorCode (*func)(PetscScalar,PetscScalar,Vec,Vec,PetscScalar*,PetscScalar*,void*),void* ctx)
    664: {
    667:   eps->arbitrary    = func;
    668:   eps->arbitraryctx = ctx;
    669:   eps->state        = EPS_STATE_INITIAL;
    670:   return(0);
    671: }

    673: /*@C
    674:    EPSSetConvergenceTestFunction - Sets a function to compute the error estimate
    675:    used in the convergence test.

    677:    Logically Collective on EPS

    679:    Input Parameters:
    680: +  eps     - eigensolver context obtained from EPSCreate()
    681: .  func    - a pointer to the convergence test function
    682: .  ctx     - context for private data for the convergence routine (may be null)
    683: -  destroy - a routine for destroying the context (may be null)

    685:    Calling Sequence of func:
    686: $   func(EPS eps,PetscScalar eigr,PetscScalar eigi,PetscReal res,PetscReal *errest,void *ctx)

    688: +   eps    - eigensolver context obtained from EPSCreate()
    689: .   eigr   - real part of the eigenvalue
    690: .   eigi   - imaginary part of the eigenvalue
    691: .   res    - residual norm associated to the eigenpair
    692: .   errest - (output) computed error estimate
    693: -   ctx    - optional context, as set by EPSSetConvergenceTestFunction()

    695:    Note:
    696:    If the error estimate returned by the convergence test function is less than
    697:    the tolerance, then the eigenvalue is accepted as converged.

    699:    Level: advanced

    701: .seealso: EPSSetConvergenceTest(), EPSSetTolerances()
    702: @*/
    703: PetscErrorCode EPSSetConvergenceTestFunction(EPS eps,PetscErrorCode (*func)(EPS,PetscScalar,PetscScalar,PetscReal,PetscReal*,void*),void* ctx,PetscErrorCode (*destroy)(void*))
    704: {

    709:   if (eps->convergeddestroy) {
    710:     (*eps->convergeddestroy)(eps->convergedctx);
    711:   }
    712:   eps->convergeduser    = func;
    713:   eps->convergeddestroy = destroy;
    714:   eps->convergedctx     = ctx;
    715:   if (func == EPSConvergedRelative) eps->conv = EPS_CONV_REL;
    716:   else if (func == EPSConvergedNorm) eps->conv = EPS_CONV_NORM;
    717:   else if (func == EPSConvergedAbsolute) eps->conv = EPS_CONV_ABS;
    718:   else {
    719:     eps->conv      = EPS_CONV_USER;
    720:     eps->converged = eps->convergeduser;
    721:   }
    722:   return(0);
    723: }

    725: /*@
    726:    EPSSetConvergenceTest - Specifies how to compute the error estimate
    727:    used in the convergence test.

    729:    Logically Collective on EPS

    731:    Input Parameters:
    732: +  eps  - eigensolver context obtained from EPSCreate()
    733: -  conv - the type of convergence test

    735:    Options Database Keys:
    736: +  -eps_conv_abs  - Sets the absolute convergence test
    737: .  -eps_conv_rel  - Sets the convergence test relative to the eigenvalue
    738: .  -eps_conv_norm - Sets the convergence test relative to the matrix norms
    739: -  -eps_conv_user - Selects the user-defined convergence test

    741:    Note:
    742:    The parameter 'conv' can have one of these values
    743: +     EPS_CONV_ABS  - absolute error ||r||
    744: .     EPS_CONV_REL  - error relative to the eigenvalue l, ||r||/|l|
    745: .     EPS_CONV_NORM - error relative to the matrix norms, ||r||/(||A||+|l|*||B||)
    746: -     EPS_CONV_USER - function set by EPSSetConvergenceTestFunction()

    748:    Level: intermediate

    750: .seealso: EPSGetConvergenceTest(), EPSSetConvergenceTestFunction(), EPSSetStoppingTest(), EPSConv
    751: @*/
    752: PetscErrorCode EPSSetConvergenceTest(EPS eps,EPSConv conv)
    753: {
    757:   switch (conv) {
    758:     case EPS_CONV_ABS:  eps->converged = EPSConvergedAbsolute; break;
    759:     case EPS_CONV_REL:  eps->converged = EPSConvergedRelative; break;
    760:     case EPS_CONV_NORM: eps->converged = EPSConvergedNorm; break;
    761:     case EPS_CONV_USER:
    762:       if (!eps->convergeduser) SETERRQ(PetscObjectComm((PetscObject)eps),PETSC_ERR_ORDER,"Must call EPSSetConvergenceTestFunction() first");
    763:       eps->converged = eps->convergeduser;
    764:       break;
    765:     default:
    766:       SETERRQ(PetscObjectComm((PetscObject)eps),PETSC_ERR_ARG_OUTOFRANGE,"Invalid 'conv' value");
    767:   }
    768:   eps->conv = conv;
    769:   return(0);
    770: }

    772: /*@
    773:    EPSGetConvergenceTest - Gets the method used to compute the error estimate
    774:    used in the convergence test.

    776:    Not Collective

    778:    Input Parameters:
    779: .  eps   - eigensolver context obtained from EPSCreate()

    781:    Output Parameters:
    782: .  conv  - the type of convergence test

    784:    Level: intermediate

    786: .seealso: EPSSetConvergenceTest(), EPSConv
    787: @*/
    788: PetscErrorCode EPSGetConvergenceTest(EPS eps,EPSConv *conv)
    789: {
    793:   *conv = eps->conv;
    794:   return(0);
    795: }

    797: /*@C
    798:    EPSSetStoppingTestFunction - Sets a function to decide when to stop the outer
    799:    iteration of the eigensolver.

    801:    Logically Collective on EPS

    803:    Input Parameters:
    804: +  eps     - eigensolver context obtained from EPSCreate()
    805: .  func    - pointer to the stopping test function
    806: .  ctx     - context for private data for the stopping routine (may be null)
    807: -  destroy - a routine for destroying the context (may be null)

    809:    Calling Sequence of func:
    810: $   func(EPS eps,PetscInt its,PetscInt max_it,PetscInt nconv,PetscInt nev,EPSConvergedReason *reason,void *ctx)

    812: +   eps    - eigensolver context obtained from EPSCreate()
    813: .   its    - current number of iterations
    814: .   max_it - maximum number of iterations
    815: .   nconv  - number of currently converged eigenpairs
    816: .   nev    - number of requested eigenpairs
    817: .   reason - (output) result of the stopping test
    818: -   ctx    - optional context, as set by EPSSetStoppingTestFunction()

    820:    Note:
    821:    Normal usage is to first call the default routine EPSStoppingBasic() and then
    822:    set reason to EPS_CONVERGED_USER if some user-defined conditions have been
    823:    met. To let the eigensolver continue iterating, the result must be left as
    824:    EPS_CONVERGED_ITERATING.

    826:    Level: advanced

    828: .seealso: EPSSetStoppingTest(), EPSStoppingBasic()
    829: @*/
    830: PetscErrorCode EPSSetStoppingTestFunction(EPS eps,PetscErrorCode (*func)(EPS,PetscInt,PetscInt,PetscInt,PetscInt,EPSConvergedReason*,void*),void* ctx,PetscErrorCode (*destroy)(void*))
    831: {

    836:   if (eps->stoppingdestroy) {
    837:     (*eps->stoppingdestroy)(eps->stoppingctx);
    838:   }
    839:   eps->stoppinguser    = func;
    840:   eps->stoppingdestroy = destroy;
    841:   eps->stoppingctx     = ctx;
    842:   if (func == EPSStoppingBasic) eps->stop = EPS_STOP_BASIC;
    843:   else {
    844:     eps->stop     = EPS_STOP_USER;
    845:     eps->stopping = eps->stoppinguser;
    846:   }
    847:   return(0);
    848: }

    850: /*@
    851:    EPSSetStoppingTest - Specifies how to decide the termination of the outer
    852:    loop of the eigensolver.

    854:    Logically Collective on EPS

    856:    Input Parameters:
    857: +  eps  - eigensolver context obtained from EPSCreate()
    858: -  stop - the type of stopping test

    860:    Options Database Keys:
    861: +  -eps_stop_basic - Sets the default stopping test
    862: -  -eps_stop_user  - Selects the user-defined stopping test

    864:    Note:
    865:    The parameter 'stop' can have one of these values
    866: +     EPS_STOP_BASIC - default stopping test
    867: -     EPS_STOP_USER  - function set by EPSSetStoppingTestFunction()

    869:    Level: advanced

    871: .seealso: EPSGetStoppingTest(), EPSSetStoppingTestFunction(), EPSSetConvergenceTest(), EPSStop
    872: @*/
    873: PetscErrorCode EPSSetStoppingTest(EPS eps,EPSStop stop)
    874: {
    878:   switch (stop) {
    879:     case EPS_STOP_BASIC: eps->stopping = EPSStoppingBasic; break;
    880:     case EPS_STOP_USER:
    881:       if (!eps->stoppinguser) SETERRQ(PetscObjectComm((PetscObject)eps),PETSC_ERR_ORDER,"Must call EPSSetStoppingTestFunction() first");
    882:       eps->stopping = eps->stoppinguser;
    883:       break;
    884:     default:
    885:       SETERRQ(PetscObjectComm((PetscObject)eps),PETSC_ERR_ARG_OUTOFRANGE,"Invalid 'stop' value");
    886:   }
    887:   eps->stop = stop;
    888:   return(0);
    889: }

    891: /*@
    892:    EPSGetStoppingTest - Gets the method used to decide the termination of the outer
    893:    loop of the eigensolver.

    895:    Not Collective

    897:    Input Parameters:
    898: .  eps   - eigensolver context obtained from EPSCreate()

    900:    Output Parameters:
    901: .  stop  - the type of stopping test

    903:    Level: advanced

    905: .seealso: EPSSetStoppingTest(), EPSStop
    906: @*/
    907: PetscErrorCode EPSGetStoppingTest(EPS eps,EPSStop *stop)
    908: {
    912:   *stop = eps->stop;
    913:   return(0);
    914: }

    916: /*@
    917:    EPSSetProblemType - Specifies the type of the eigenvalue problem.

    919:    Logically Collective on EPS

    921:    Input Parameters:
    922: +  eps      - the eigensolver context
    923: -  type     - a known type of eigenvalue problem

    925:    Options Database Keys:
    926: +  -eps_hermitian - Hermitian eigenvalue problem
    927: .  -eps_gen_hermitian - generalized Hermitian eigenvalue problem
    928: .  -eps_non_hermitian - non-Hermitian eigenvalue problem
    929: .  -eps_gen_non_hermitian - generalized non-Hermitian eigenvalue problem
    930: -  -eps_pos_gen_non_hermitian - generalized non-Hermitian eigenvalue problem
    931:    with positive semi-definite B

    933:    Notes:
    934:    Allowed values for the problem type are: Hermitian (EPS_HEP), non-Hermitian
    935:    (EPS_NHEP), generalized Hermitian (EPS_GHEP), generalized non-Hermitian
    936:    (EPS_GNHEP), generalized non-Hermitian with positive semi-definite B
    937:    (EPS_PGNHEP), and generalized Hermitian-indefinite (EPS_GHIEP).

    939:    This function must be used to instruct SLEPc to exploit symmetry. If no
    940:    problem type is specified, by default a non-Hermitian problem is assumed
    941:    (either standard or generalized). If the user knows that the problem is
    942:    Hermitian (i.e. A=A^H) or generalized Hermitian (i.e. A=A^H, B=B^H, and
    943:    B positive definite) then it is recommended to set the problem type so
    944:    that eigensolver can exploit these properties.

    946:    Level: intermediate

    948: .seealso: EPSSetOperators(), EPSSetType(), EPSGetProblemType(), EPSProblemType
    949: @*/
    950: PetscErrorCode EPSSetProblemType(EPS eps,EPSProblemType type)
    951: {
    955:   if (type == eps->problem_type) return(0);
    956:   switch (type) {
    957:     case EPS_HEP:
    958:       eps->isgeneralized = PETSC_FALSE;
    959:       eps->ishermitian = PETSC_TRUE;
    960:       eps->ispositive = PETSC_FALSE;
    961:       break;
    962:     case EPS_NHEP:
    963:       eps->isgeneralized = PETSC_FALSE;
    964:       eps->ishermitian = PETSC_FALSE;
    965:       eps->ispositive = PETSC_FALSE;
    966:       break;
    967:     case EPS_GHEP:
    968:       eps->isgeneralized = PETSC_TRUE;
    969:       eps->ishermitian = PETSC_TRUE;
    970:       eps->ispositive = PETSC_TRUE;
    971:       break;
    972:     case EPS_GNHEP:
    973:       eps->isgeneralized = PETSC_TRUE;
    974:       eps->ishermitian = PETSC_FALSE;
    975:       eps->ispositive = PETSC_FALSE;
    976:       break;
    977:     case EPS_PGNHEP:
    978:       eps->isgeneralized = PETSC_TRUE;
    979:       eps->ishermitian = PETSC_FALSE;
    980:       eps->ispositive = PETSC_TRUE;
    981:       break;
    982:     case EPS_GHIEP:
    983:       eps->isgeneralized = PETSC_TRUE;
    984:       eps->ishermitian = PETSC_TRUE;
    985:       eps->ispositive = PETSC_FALSE;
    986:       break;
    987:     default:
    988:       SETERRQ(PetscObjectComm((PetscObject)eps),PETSC_ERR_ARG_WRONG,"Unknown eigenvalue problem type");
    989:   }
    990:   eps->problem_type = type;
    991:   eps->state = EPS_STATE_INITIAL;
    992:   return(0);
    993: }

    995: /*@
    996:    EPSGetProblemType - Gets the problem type from the EPS object.

    998:    Not Collective

    1000:    Input Parameter:
    1001: .  eps - the eigensolver context

    1003:    Output Parameter:
    1004: .  type - the problem type

    1006:    Level: intermediate

    1008: .seealso: EPSSetProblemType(), EPSProblemType
    1009: @*/
    1010: PetscErrorCode EPSGetProblemType(EPS eps,EPSProblemType *type)
    1011: {
    1015:   *type = eps->problem_type;
    1016:   return(0);
    1017: }

    1019: /*@
    1020:    EPSSetExtraction - Specifies the type of extraction technique to be employed
    1021:    by the eigensolver.

    1023:    Logically Collective on EPS

    1025:    Input Parameters:
    1026: +  eps  - the eigensolver context
    1027: -  extr - a known type of extraction

    1029:    Options Database Keys:
    1030: +  -eps_ritz - Rayleigh-Ritz extraction
    1031: .  -eps_harmonic - harmonic Ritz extraction
    1032: .  -eps_harmonic_relative - harmonic Ritz extraction relative to the eigenvalue
    1033: .  -eps_harmonic_right - harmonic Ritz extraction for rightmost eigenvalues
    1034: .  -eps_harmonic_largest - harmonic Ritz extraction for largest magnitude
    1035:    (without target)
    1036: .  -eps_refined - refined Ritz extraction
    1037: -  -eps_refined_harmonic - refined harmonic Ritz extraction

    1039:    Notes:
    1040:    Not all eigensolvers support all types of extraction. See the SLEPc
    1041:    Users Manual for details.

    1043:    By default, a standard Rayleigh-Ritz extraction is used. Other extractions
    1044:    may be useful when computing interior eigenvalues.

    1046:    Harmonic-type extractions are used in combination with a 'target'.

    1048:    Level: advanced

    1050: .seealso: EPSSetTarget(), EPSGetExtraction(), EPSExtraction
    1051: @*/
    1052: PetscErrorCode EPSSetExtraction(EPS eps,EPSExtraction extr)
    1053: {
    1057:   eps->extraction = extr;
    1058:   return(0);
    1059: }

    1061: /*@
    1062:    EPSGetExtraction - Gets the extraction type used by the EPS object.

    1064:    Not Collective

    1066:    Input Parameter:
    1067: .  eps - the eigensolver context

    1069:    Output Parameter:
    1070: .  extr - name of extraction type

    1072:    Level: advanced

    1074: .seealso: EPSSetExtraction(), EPSExtraction
    1075: @*/
    1076: PetscErrorCode EPSGetExtraction(EPS eps,EPSExtraction *extr)
    1077: {
    1081:   *extr = eps->extraction;
    1082:   return(0);
    1083: }

    1085: /*@
    1086:    EPSSetBalance - Specifies the balancing technique to be employed by the
    1087:    eigensolver, and some parameters associated to it.

    1089:    Logically Collective on EPS

    1091:    Input Parameters:
    1092: +  eps    - the eigensolver context
    1093: .  bal    - the balancing method, one of EPS_BALANCE_NONE, EPS_BALANCE_ONESIDE,
    1094:             EPS_BALANCE_TWOSIDE, or EPS_BALANCE_USER
    1095: .  its    - number of iterations of the balancing algorithm
    1096: -  cutoff - cutoff value

    1098:    Options Database Keys:
    1099: +  -eps_balance <method> - the balancing method, where <method> is one of
    1100:                            'none', 'oneside', 'twoside', or 'user'
    1101: .  -eps_balance_its <its> - number of iterations
    1102: -  -eps_balance_cutoff <cutoff> - cutoff value

    1104:    Notes:
    1105:    When balancing is enabled, the solver works implicitly with matrix DAD^-1,
    1106:    where D is an appropriate diagonal matrix. This improves the accuracy of
    1107:    the computed results in some cases. See the SLEPc Users Manual for details.

    1109:    Balancing makes sense only for non-Hermitian problems when the required
    1110:    precision is high (i.e. a small tolerance such as 1e-15).

    1112:    By default, balancing is disabled. The two-sided method is much more
    1113:    effective than the one-sided counterpart, but it requires the system
    1114:    matrices to have the MatMultTranspose operation defined.

    1116:    The parameter 'its' is the number of iterations performed by the method. The
    1117:    cutoff value is used only in the two-side variant. Use PETSC_DEFAULT to assign
    1118:    a reasonably good value.

    1120:    User-defined balancing is allowed provided that the corresponding matrix
    1121:    is set via STSetBalanceMatrix.

    1123:    Level: intermediate

    1125: .seealso: EPSGetBalance(), EPSBalance, STSetBalanceMatrix()
    1126: @*/
    1127: PetscErrorCode EPSSetBalance(EPS eps,EPSBalance bal,PetscInt its,PetscReal cutoff)
    1128: {
    1134:   switch (bal) {
    1135:     case EPS_BALANCE_NONE:
    1136:     case EPS_BALANCE_ONESIDE:
    1137:     case EPS_BALANCE_TWOSIDE:
    1138:     case EPS_BALANCE_USER:
    1139:       if (eps->balance != bal) {
    1140:         eps->state = EPS_STATE_INITIAL;
    1141:         eps->balance = bal;
    1142:       }
    1143:       break;
    1144:     default:
    1145:       SETERRQ(PetscObjectComm((PetscObject)eps),PETSC_ERR_ARG_OUTOFRANGE,"Invalid value of argument 'bal'");
    1146:   }
    1147:   if (its==PETSC_DECIDE || its==PETSC_DEFAULT) eps->balance_its = 5;
    1148:   else {
    1149:     if (its <= 0) SETERRQ(PetscObjectComm((PetscObject)eps),PETSC_ERR_ARG_OUTOFRANGE,"Illegal value of its. Must be > 0");
    1150:     eps->balance_its = its;
    1151:   }
    1152:   if (cutoff==PETSC_DECIDE || cutoff==PETSC_DEFAULT) eps->balance_cutoff = 1e-8;
    1153:   else {
    1154:     if (cutoff <= 0.0) SETERRQ(PetscObjectComm((PetscObject)eps),PETSC_ERR_ARG_OUTOFRANGE,"Illegal value of cutoff. Must be > 0");
    1155:     eps->balance_cutoff = cutoff;
    1156:   }
    1157:   return(0);
    1158: }

    1160: /*@C
    1161:    EPSGetBalance - Gets the balancing type used by the EPS object, and the
    1162:    associated parameters.

    1164:    Not Collective

    1166:    Input Parameter:
    1167: .  eps - the eigensolver context

    1169:    Output Parameters:
    1170: +  bal    - the balancing method
    1171: .  its    - number of iterations of the balancing algorithm
    1172: -  cutoff - cutoff value

    1174:    Level: intermediate

    1176:    Note:
    1177:    The user can specify NULL for any parameter that is not needed.

    1179: .seealso: EPSSetBalance(), EPSBalance
    1180: @*/
    1181: PetscErrorCode EPSGetBalance(EPS eps,EPSBalance *bal,PetscInt *its,PetscReal *cutoff)
    1182: {
    1185:   if (bal)    *bal = eps->balance;
    1186:   if (its)    *its = eps->balance_its;
    1187:   if (cutoff) *cutoff = eps->balance_cutoff;
    1188:   return(0);
    1189: }

    1191: /*@
    1192:    EPSSetTrueResidual - Specifies if the solver must compute the true residual
    1193:    explicitly or not.

    1195:    Logically Collective on EPS

    1197:    Input Parameters:
    1198: +  eps     - the eigensolver context
    1199: -  trueres - whether true residuals are required or not

    1201:    Options Database Keys:
    1202: .  -eps_true_residual <boolean> - Sets/resets the boolean flag 'trueres'

    1204:    Notes:
    1205:    If the user sets trueres=PETSC_TRUE then the solver explicitly computes
    1206:    the true residual for each eigenpair approximation, and uses it for
    1207:    convergence testing. Computing the residual is usually an expensive
    1208:    operation. Some solvers (e.g., Krylov solvers) can avoid this computation
    1209:    by using a cheap estimate of the residual norm, but this may sometimes
    1210:    give inaccurate results (especially if a spectral transform is being
    1211:    used). On the contrary, preconditioned eigensolvers (e.g., Davidson solvers)
    1212:    do rely on computing the true residual, so this option is irrelevant for them.

    1214:    Level: advanced

    1216: .seealso: EPSGetTrueResidual()
    1217: @*/
    1218: PetscErrorCode EPSSetTrueResidual(EPS eps,PetscBool trueres)
    1219: {
    1223:   eps->trueres = trueres;
    1224:   return(0);
    1225: }

    1227: /*@
    1228:    EPSGetTrueResidual - Returns the flag indicating whether true
    1229:    residuals must be computed explicitly or not.

    1231:    Not Collective

    1233:    Input Parameter:
    1234: .  eps - the eigensolver context

    1236:    Output Parameter:
    1237: .  trueres - the returned flag

    1239:    Level: advanced

    1241: .seealso: EPSSetTrueResidual()
    1242: @*/
    1243: PetscErrorCode EPSGetTrueResidual(EPS eps,PetscBool *trueres)
    1244: {
    1248:   *trueres = eps->trueres;
    1249:   return(0);
    1250: }

    1252: /*@
    1253:    EPSSetTrackAll - Specifies if the solver must compute the residual norm of all
    1254:    approximate eigenpairs or not.

    1256:    Logically Collective on EPS

    1258:    Input Parameters:
    1259: +  eps      - the eigensolver context
    1260: -  trackall - whether to compute all residuals or not

    1262:    Notes:
    1263:    If the user sets trackall=PETSC_TRUE then the solver computes (or estimates)
    1264:    the residual norm for each eigenpair approximation. Computing the residual is
    1265:    usually an expensive operation and solvers commonly compute only the residual
    1266:    associated to the first unconverged eigenpair.

    1268:    The options '-eps_monitor_all' and '-eps_monitor_lg_all' automatically
    1269:    activate this option.

    1271:    Level: developer

    1273: .seealso: EPSGetTrackAll()
    1274: @*/
    1275: PetscErrorCode EPSSetTrackAll(EPS eps,PetscBool trackall)
    1276: {
    1280:   eps->trackall = trackall;
    1281:   return(0);
    1282: }

    1284: /*@
    1285:    EPSGetTrackAll - Returns the flag indicating whether all residual norms must
    1286:    be computed or not.

    1288:    Not Collective

    1290:    Input Parameter:
    1291: .  eps - the eigensolver context

    1293:    Output Parameter:
    1294: .  trackall - the returned flag

    1296:    Level: developer

    1298: .seealso: EPSSetTrackAll()
    1299: @*/
    1300: PetscErrorCode EPSGetTrackAll(EPS eps,PetscBool *trackall)
    1301: {
    1305:   *trackall = eps->trackall;
    1306:   return(0);
    1307: }

    1309: /*@
    1310:    EPSSetPurify - Deactivate eigenvector purification (which is activated by default).

    1312:    Logically Collective on EPS

    1314:    Input Parameters:
    1315: +  eps    - the eigensolver context
    1316: -  purify - whether purification is required or not

    1318:    Options Database Keys:
    1319: .  -eps_purify <boolean> - Sets/resets the boolean flag 'purify'

    1321:    Notes:
    1322:    By default, eigenvectors of generalized symmetric eigenproblems are purified
    1323:    in order to purge directions in the nullspace of matrix B. If the user knows
    1324:    that B is non-singular, then purification can be safely deactivated and some
    1325:    computational cost is avoided (this is particularly important in interval computations).

    1327:    Level: intermediate

    1329: .seealso: EPSGetPurify(), EPSSetInterval()
    1330: @*/
    1331: PetscErrorCode EPSSetPurify(EPS eps,PetscBool purify)
    1332: {
    1336:   eps->purify = purify;
    1337:   if (purify && !eps->purify) eps->state = EPS_STATE_INITIAL;
    1338:   return(0);
    1339: }

    1341: /*@
    1342:    EPSGetPurify - Returns the flag indicating whether purification is activated
    1343:    or not.

    1345:    Not Collective

    1347:    Input Parameter:
    1348: .  eps - the eigensolver context

    1350:    Output Parameter:
    1351: .  purify - the returned flag

    1353:    Level: intermediate

    1355: .seealso: EPSSetPurify()
    1356: @*/
    1357: PetscErrorCode EPSGetPurify(EPS eps,PetscBool *purify)
    1358: {
    1362:   *purify = eps->purify;
    1363:   return(0);
    1364: }

    1366: /*@C
    1367:    EPSSetOptionsPrefix - Sets the prefix used for searching for all
    1368:    EPS options in the database.

    1370:    Logically Collective on EPS

    1372:    Input Parameters:
    1373: +  eps - the eigensolver context
    1374: -  prefix - the prefix string to prepend to all EPS option requests

    1376:    Notes:
    1377:    A hyphen (-) must NOT be given at the beginning of the prefix name.
    1378:    The first character of all runtime options is AUTOMATICALLY the
    1379:    hyphen.

    1381:    For example, to distinguish between the runtime options for two
    1382:    different EPS contexts, one could call
    1383: .vb
    1384:       EPSSetOptionsPrefix(eps1,"eig1_")
    1385:       EPSSetOptionsPrefix(eps2,"eig2_")
    1386: .ve

    1388:    Level: advanced

    1390: .seealso: EPSAppendOptionsPrefix(), EPSGetOptionsPrefix()
    1391: @*/
    1392: PetscErrorCode EPSSetOptionsPrefix(EPS eps,const char *prefix)
    1393: {

    1398:   if (!eps->st) { EPSGetST(eps,&eps->st); }
    1399:   STSetOptionsPrefix(eps->st,prefix);
    1400:   if (!eps->V) { EPSGetBV(eps,&eps->V); }
    1401:   BVSetOptionsPrefix(eps->V,prefix);
    1402:   if (!eps->ds) { EPSGetDS(eps,&eps->ds); }
    1403:   DSSetOptionsPrefix(eps->ds,prefix);
    1404:   if (!eps->rg) { EPSGetRG(eps,&eps->rg); }
    1405:   RGSetOptionsPrefix(eps->rg,prefix);
    1406:   PetscObjectSetOptionsPrefix((PetscObject)eps,prefix);
    1407:   return(0);
    1408: }

    1410: /*@C
    1411:    EPSAppendOptionsPrefix - Appends to the prefix used for searching for all
    1412:    EPS options in the database.

    1414:    Logically Collective on EPS

    1416:    Input Parameters:
    1417: +  eps - the eigensolver context
    1418: -  prefix - the prefix string to prepend to all EPS option requests

    1420:    Notes:
    1421:    A hyphen (-) must NOT be given at the beginning of the prefix name.
    1422:    The first character of all runtime options is AUTOMATICALLY the hyphen.

    1424:    Level: advanced

    1426: .seealso: EPSSetOptionsPrefix(), EPSGetOptionsPrefix()
    1427: @*/
    1428: PetscErrorCode EPSAppendOptionsPrefix(EPS eps,const char *prefix)
    1429: {

    1434:   if (!eps->st) { EPSGetST(eps,&eps->st); }
    1435:   STAppendOptionsPrefix(eps->st,prefix);
    1436:   if (!eps->V) { EPSGetBV(eps,&eps->V); }
    1437:   BVAppendOptionsPrefix(eps->V,prefix);
    1438:   if (!eps->ds) { EPSGetDS(eps,&eps->ds); }
    1439:   DSAppendOptionsPrefix(eps->ds,prefix);
    1440:   if (!eps->rg) { EPSGetRG(eps,&eps->rg); }
    1441:   RGAppendOptionsPrefix(eps->rg,prefix);
    1442:   PetscObjectAppendOptionsPrefix((PetscObject)eps,prefix);
    1443:   return(0);
    1444: }

    1446: /*@C
    1447:    EPSGetOptionsPrefix - Gets the prefix used for searching for all
    1448:    EPS options in the database.

    1450:    Not Collective

    1452:    Input Parameters:
    1453: .  eps - the eigensolver context

    1455:    Output Parameters:
    1456: .  prefix - pointer to the prefix string used is returned

    1458:    Note:
    1459:    On the Fortran side, the user should pass in a string 'prefix' of
    1460:    sufficient length to hold the prefix.

    1462:    Level: advanced

    1464: .seealso: EPSSetOptionsPrefix(), EPSAppendOptionsPrefix()
    1465: @*/
    1466: PetscErrorCode EPSGetOptionsPrefix(EPS eps,const char *prefix[])
    1467: {

    1473:   PetscObjectGetOptionsPrefix((PetscObject)eps,prefix);
    1474:   return(0);
    1475: }