Actual source code: lmebasic.c

      1: /*
      2:    - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
      3:    SLEPc - Scalable Library for Eigenvalue Problem Computations
      4:    Copyright (c) 2002-, 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:    Basic LME routines
     12: */

     14: #include <slepc/private/lmeimpl.h>

     16: /* Logging support */
     17: PetscClassId      LME_CLASSID = 0;
     18: PetscLogEvent     LME_SetUp = 0,LME_Solve = 0,LME_ComputeError = 0;

     20: /* List of registered LME routines */
     21: PetscFunctionList LMEList = NULL;
     22: PetscBool         LMERegisterAllCalled = PETSC_FALSE;

     24: /* List of registered LME monitors */
     25: PetscFunctionList LMEMonitorList              = NULL;
     26: PetscFunctionList LMEMonitorCreateList        = NULL;
     27: PetscFunctionList LMEMonitorDestroyList       = NULL;
     28: PetscBool         LMEMonitorRegisterAllCalled = PETSC_FALSE;

     30: /*@
     31:    LMEView - Prints the `LME` data structure.

     33:    Collective

     35:    Input Parameters:
     36: +  lme - the linear matrix equation solver context
     37: -  viewer - optional visualization context

     39:    Options Database Key:
     40: .  -lme_view - calls `LMEView()` at end of `LMESolve()`

     42:    Notes:
     43:    The available visualization contexts include
     44: +     `PETSC_VIEWER_STDOUT_SELF` - standard output (default)
     45: -     `PETSC_VIEWER_STDOUT_WORLD` - synchronized standard output where only the
     46:          first process opens the file; all other processes send their data to the
     47:          first one to print

     49:    The user can open an alternative visualization context with `PetscViewerASCIIOpen()`
     50:    to output to a specified file.

     52:    Level: beginner

     54: .seealso: [](ch:lme), `LMECreate()`, `LMEViewFromOptions()`
     55: @*/
     56: PetscErrorCode LMEView(LME lme,PetscViewer viewer)
     57: {
     58:   PetscBool      isascii;

     60:   PetscFunctionBegin;
     62:   if (!viewer) PetscCall(PetscViewerASCIIGetStdout(PetscObjectComm((PetscObject)lme),&viewer));
     64:   PetscCheckSameComm(lme,1,viewer,2);

     66:   PetscCall(PetscObjectTypeCompare((PetscObject)viewer,PETSCVIEWERASCII,&isascii));
     67:   if (isascii) {
     68:     PetscCall(PetscObjectPrintClassNamePrefixType((PetscObject)lme,viewer));
     69:     PetscCall(PetscViewerASCIIPushTab(viewer));
     70:     PetscTryTypeMethod(lme,view,viewer);
     71:     PetscCall(PetscViewerASCIIPopTab(viewer));
     72:     PetscCall(PetscViewerASCIIPrintf(viewer,"  equation type: %s\n",LMEProblemTypes[lme->problem_type]));
     73:     PetscCall(PetscViewerASCIIPrintf(viewer,"  number of column vectors (ncv): %" PetscInt_FMT "\n",lme->ncv));
     74:     PetscCall(PetscViewerASCIIPrintf(viewer,"  maximum number of iterations: %" PetscInt_FMT "\n",lme->max_it));
     75:     PetscCall(PetscViewerASCIIPrintf(viewer,"  tolerance: %g\n",(double)lme->tol));
     76:   } else PetscTryTypeMethod(lme,view,viewer);
     77:   PetscCall(PetscViewerPushFormat(viewer,PETSC_VIEWER_ASCII_INFO));
     78:   if (!lme->V) PetscCall(LMEGetBV(lme,&lme->V));
     79:   PetscCall(BVView(lme->V,viewer));
     80:   PetscCall(PetscViewerPopFormat(viewer));
     81:   PetscFunctionReturn(PETSC_SUCCESS);
     82: }

     84: /*@
     85:    LMEViewFromOptions - View (print) an `LME` object based on values in the options database.

     87:    Collective

     89:    Input Parameters:
     90: +  lme  - the linear matrix equation solver context
     91: .  obj  - optional object that provides the options prefix used to query the options database
     92: -  name - command line option

     94:    Level: intermediate

     96: .seealso: [](ch:lme), `LMEView()`, `LMECreate()`, `PetscObjectViewFromOptions()`
     97: @*/
     98: PetscErrorCode LMEViewFromOptions(LME lme,PetscObject obj,const char name[])
     99: {
    100:   PetscFunctionBegin;
    102:   PetscCall(PetscObjectViewFromOptions((PetscObject)lme,obj,name));
    103:   PetscFunctionReturn(PETSC_SUCCESS);
    104: }
    105: /*@
    106:    LMEConvergedReasonView - Displays the reason an `LME` solve converged or diverged.

    108:    Collective

    110:    Input Parameters:
    111: +  lme - the linear matrix equation solver context
    112: -  viewer - the viewer to display the reason

    114:    Options Database Key:
    115: .  -lme_converged_reason - print reason for convergence/divergence, and number of iterations

    117:    Notes:
    118:    Use `LMEConvergedReasonViewFromOptions()` to display the reason based on values
    119:    in the options database.

    121:    To change the format of the output call `PetscViewerPushFormat()` before this
    122:    call. Use `PETSC_VIEWER_DEFAULT` for the default, or `PETSC_VIEWER_FAILED` to only
    123:    display a reason if it fails. The latter can be set in the command line with
    124:    `-lme_converged_reason ::failed`.

    126:    Level: intermediate

    128: .seealso: [](ch:lme), `LMESetTolerances()`, `LMEGetIterationNumber()`, `LMEConvergedReasonViewFromOptions()`
    129: @*/
    130: PetscErrorCode LMEConvergedReasonView(LME lme,PetscViewer viewer)
    131: {
    132:   PetscBool         isAscii;
    133:   PetscViewerFormat format;

    135:   PetscFunctionBegin;
    136:   if (!viewer) viewer = PETSC_VIEWER_STDOUT_(PetscObjectComm((PetscObject)lme));
    137:   PetscCall(PetscObjectTypeCompare((PetscObject)viewer,PETSCVIEWERASCII,&isAscii));
    138:   if (isAscii) {
    139:     PetscCall(PetscViewerGetFormat(viewer,&format));
    140:     PetscCall(PetscViewerASCIIAddTab(viewer,((PetscObject)lme)->tablevel));
    141:     if (lme->reason > 0 && format != PETSC_VIEWER_FAILED) PetscCall(PetscViewerASCIIPrintf(viewer,"%s Linear matrix equation solve converged due to %s; iterations %" PetscInt_FMT "\n",((PetscObject)lme)->prefix?((PetscObject)lme)->prefix:"",LMEConvergedReasons[lme->reason],lme->its));
    142:     else if (lme->reason <= 0) PetscCall(PetscViewerASCIIPrintf(viewer,"%s Linear matrix equation solve did not converge due to %s; iterations %" PetscInt_FMT "\n",((PetscObject)lme)->prefix?((PetscObject)lme)->prefix:"",LMEConvergedReasons[lme->reason],lme->its));
    143:     PetscCall(PetscViewerASCIISubtractTab(viewer,((PetscObject)lme)->tablevel));
    144:   }
    145:   PetscFunctionReturn(PETSC_SUCCESS);
    146: }

    148: /*@
    149:    LMEConvergedReasonViewFromOptions - Processes command line options to determine if/how
    150:    the `LME` converged reason is to be viewed.

    152:    Collective

    154:    Input Parameter:
    155: .  lme - the linear matrix equation solver context

    157:    Level: intermediate

    159: .seealso: [](ch:lme), `LMEConvergedReasonView()`
    160: @*/
    161: PetscErrorCode LMEConvergedReasonViewFromOptions(LME lme)
    162: {
    163:   PetscViewer       viewer;
    164:   PetscBool         flg;
    165:   static PetscBool  incall = PETSC_FALSE;
    166:   PetscViewerFormat format;

    168:   PetscFunctionBegin;
    169:   if (incall) PetscFunctionReturn(PETSC_SUCCESS);
    170:   incall = PETSC_TRUE;
    171:   PetscCall(PetscOptionsCreateViewer(PetscObjectComm((PetscObject)lme),((PetscObject)lme)->options,((PetscObject)lme)->prefix,"-lme_converged_reason",&viewer,&format,&flg));
    172:   if (flg) {
    173:     PetscCall(PetscViewerPushFormat(viewer,format));
    174:     PetscCall(LMEConvergedReasonView(lme,viewer));
    175:     PetscCall(PetscViewerPopFormat(viewer));
    176:     PetscCall(PetscViewerDestroy(&viewer));
    177:   }
    178:   incall = PETSC_FALSE;
    179:   PetscFunctionReturn(PETSC_SUCCESS);
    180: }

    182: /*@
    183:    LMECreate - Creates the `LME` context.

    185:    Collective

    187:    Input Parameter:
    188: .  comm - MPI communicator

    190:    Output Parameter:
    191: .  outlme - location to put the `LME` context

    193:    Note:
    194:    The default `LME` type is `LMEKRYLOV`.

    196:    Level: beginner

    198: .seealso: [](ch:lme), `LMESetUp()`, `LMESolve()`, `LMEDestroy()`, `LME`
    199: @*/
    200: PetscErrorCode LMECreate(MPI_Comm comm,LME *outlme)
    201: {
    202:   LME            lme;

    204:   PetscFunctionBegin;
    205:   PetscAssertPointer(outlme,2);
    206:   PetscCall(LMEInitializePackage());
    207:   PetscCall(SlepcHeaderCreate(lme,LME_CLASSID,"LME","Linear Matrix Equation","LME",comm,LMEDestroy,LMEView));

    209:   lme->A               = NULL;
    210:   lme->B               = NULL;
    211:   lme->D               = NULL;
    212:   lme->E               = NULL;
    213:   lme->C               = NULL;
    214:   lme->X               = NULL;
    215:   lme->problem_type    = LME_LYAPUNOV;
    216:   lme->max_it          = PETSC_DETERMINE;
    217:   lme->ncv             = PETSC_DETERMINE;
    218:   lme->tol             = PETSC_DETERMINE;
    219:   lme->errorifnotconverged = PETSC_FALSE;

    221:   lme->numbermonitors  = 0;

    223:   lme->V               = NULL;
    224:   lme->nwork           = 0;
    225:   lme->work            = NULL;
    226:   lme->data            = NULL;

    228:   lme->its             = 0;
    229:   lme->errest          = 0;
    230:   lme->setupcalled     = 0;
    231:   lme->reason          = LME_CONVERGED_ITERATING;

    233:   *outlme = lme;
    234:   PetscFunctionReturn(PETSC_SUCCESS);
    235: }

    237: /*@
    238:    LMESetType - Selects the particular solver to be used in the `LME` object.

    240:    Logically Collective

    242:    Input Parameters:
    243: +  lme  - the linear matrix equation solver context
    244: -  type - a known method

    246:    Options Database Key:
    247: .  -lme_type type - sets the method; use -help for a list of available methods

    249:    Notes:
    250:    See `LMEType` for available methods. The default is `LMEKRYLOV`.

    252:    Normally, it is best to use the `LMESetFromOptions()` command and
    253:    then set the `LME` type from the options database rather than by using
    254:    this routine.  Using the options database provides the user with
    255:    maximum flexibility in evaluating the different available methods.
    256:    The `LMESetType()` routine is provided for those situations where it
    257:    is necessary to set the iterative solver independently of the command
    258:    line or options database.

    260:    Level: intermediate

    262: .seealso: [](ch:lme), `LMEType`
    263: @*/
    264: PetscErrorCode LMESetType(LME lme,LMEType type)
    265: {
    266:   PetscErrorCode (*r)(LME);
    267:   PetscBool      match;

    269:   PetscFunctionBegin;
    271:   PetscAssertPointer(type,2);

    273:   PetscCall(PetscObjectTypeCompare((PetscObject)lme,type,&match));
    274:   if (match) PetscFunctionReturn(PETSC_SUCCESS);

    276:   PetscCall(PetscFunctionListFind(LMEList,type,&r));
    277:   PetscCheck(r,PetscObjectComm((PetscObject)lme),PETSC_ERR_ARG_UNKNOWN_TYPE,"Unknown LME type given: %s",type);

    279:   PetscTryTypeMethod(lme,destroy);
    280:   PetscCall(PetscMemzero(lme->ops,sizeof(struct _LMEOps)));

    282:   lme->setupcalled = 0;
    283:   PetscCall(PetscObjectChangeTypeName((PetscObject)lme,type));
    284:   PetscCall((*r)(lme));
    285:   PetscFunctionReturn(PETSC_SUCCESS);
    286: }

    288: /*@
    289:    LMEGetType - Gets the `LME` type as a string from the `LME` object.

    291:    Not Collective

    293:    Input Parameter:
    294: .  lme - the linear matrix equation solver context

    296:    Output Parameter:
    297: .  type - name of `LME` method

    299:    Level: intermediate

    301: .seealso: [](ch:lme), `LMESetType()`
    302: @*/
    303: PetscErrorCode LMEGetType(LME lme,LMEType *type)
    304: {
    305:   PetscFunctionBegin;
    307:   PetscAssertPointer(type,2);
    308:   *type = ((PetscObject)lme)->type_name;
    309:   PetscFunctionReturn(PETSC_SUCCESS);
    310: }

    312: /*@C
    313:    LMERegister - Adds a method to the linear matrix equation solver package.

    315:    Not Collective

    317:    Input Parameters:
    318: +  name - name of a new user-defined solver
    319: -  function - routine to create the solver context

    321:    Note:
    322:    `LMERegister()` may be called multiple times to add several user-defined solvers.

    324:    Example Usage:
    325: .vb
    326:    LMERegister("my_solver",MySolverCreate);
    327: .ve

    329:    Then, your solver can be chosen with the procedural interface via
    330: .vb
    331:    LMESetType(lme,"my_solver")
    332: .ve
    333:    or at runtime via the option `-lme_type my_solver`.

    335:    Level: advanced

    337: .seealso: [](ch:lme), `LMERegisterAll()`
    338: @*/
    339: PetscErrorCode LMERegister(const char *name,PetscErrorCode (*function)(LME))
    340: {
    341:   PetscFunctionBegin;
    342:   PetscCall(LMEInitializePackage());
    343:   PetscCall(PetscFunctionListAdd(&LMEList,name,function));
    344:   PetscFunctionReturn(PETSC_SUCCESS);
    345: }

    347: /*@C
    348:    LMEMonitorRegister - Registers an `LME` monitor routine that may be accessed with
    349:    `LMEMonitorSetFromOptions()`.

    351:    Not Collective

    353:    Input Parameters:
    354: +  name    - name of a new monitor routine
    355: .  vtype   - a `PetscViewerType` for the output
    356: .  format  - a `PetscViewerFormat` for the output
    357: .  monitor - monitor routine, see `LMEMonitorRegisterFn`
    358: .  create  - creation routine, or `NULL`
    359: -  destroy - destruction routine, or `NULL`

    361:    Notes:
    362:    `LMEMonitorRegister()` may be called multiple times to add several user-defined monitors.

    364:    The calling sequence for the given function matches the calling sequence of `LMEMonitorFn`
    365:    functions passed to `LMEMonitorSet()` with the additional requirement that its final argument
    366:    be a `PetscViewerAndFormat`.

    368:    Example Usage:
    369: .vb
    370:    LMEMonitorRegister("my_monitor",PETSCVIEWERASCII,PETSC_VIEWER_ASCII_INFO_DETAIL,MyMonitor,NULL,NULL);
    371: .ve

    373:    Then, your monitor can be chosen with the procedural interface via
    374: .vb
    375:    LMEMonitorSetFromOptions(lme,"-lme_monitor_my_monitor","my_monitor",NULL);
    376: .ve
    377:    or at runtime via the option `-lme_monitor_my_monitor`.

    379:    Level: advanced

    381: .seealso: [](ch:lme), `LMEMonitorSet()`, `LMEMonitorRegisterAll()`, `LMEMonitorSetFromOptions()`
    382: @*/
    383: PetscErrorCode LMEMonitorRegister(const char name[],PetscViewerType vtype,PetscViewerFormat format,LMEMonitorRegisterFn *monitor,LMEMonitorRegisterCreateFn *create,LMEMonitorRegisterDestroyFn *destroy)
    384: {
    385:   char           key[PETSC_MAX_PATH_LEN];

    387:   PetscFunctionBegin;
    388:   PetscCall(LMEInitializePackage());
    389:   PetscCall(SlepcMonitorMakeKey_Internal(name,vtype,format,key));
    390:   PetscCall(PetscFunctionListAdd(&LMEMonitorList,key,monitor));
    391:   if (create)  PetscCall(PetscFunctionListAdd(&LMEMonitorCreateList,key,create));
    392:   if (destroy) PetscCall(PetscFunctionListAdd(&LMEMonitorDestroyList,key,destroy));
    393:   PetscFunctionReturn(PETSC_SUCCESS);
    394: }

    396: /*@
    397:    LMEReset - Resets the `LME` context to the initial state (prior to setup)
    398:    and destroys any allocated `Vec`s and `Mat`s.

    400:    Collective

    402:    Input Parameter:
    403: .  lme - the linear matrix equation solver context

    405:    Level: advanced

    407: .seealso: [](ch:lme), `LMEDestroy()`
    408: @*/
    409: PetscErrorCode LMEReset(LME lme)
    410: {
    411:   PetscFunctionBegin;
    413:   if (!lme) PetscFunctionReturn(PETSC_SUCCESS);
    414:   PetscTryTypeMethod(lme,reset);
    415:   PetscCall(MatDestroy(&lme->A));
    416:   PetscCall(MatDestroy(&lme->B));
    417:   PetscCall(MatDestroy(&lme->D));
    418:   PetscCall(MatDestroy(&lme->E));
    419:   PetscCall(MatDestroy(&lme->C));
    420:   PetscCall(MatDestroy(&lme->X));
    421:   PetscCall(BVDestroy(&lme->V));
    422:   PetscCall(VecDestroyVecs(lme->nwork,&lme->work));
    423:   lme->nwork = 0;
    424:   lme->setupcalled = 0;
    425:   PetscFunctionReturn(PETSC_SUCCESS);
    426: }

    428: /*@
    429:    LMEDestroy - Destroys the `LME` context.

    431:    Collective

    433:    Input Parameter:
    434: .  lme - the linear matrix equation solver context

    436:    Level: beginner

    438: .seealso: [](ch:lme), `LMECreate()`, `LMESetUp()`, `LMESolve()`
    439: @*/
    440: PetscErrorCode LMEDestroy(LME *lme)
    441: {
    442:   PetscFunctionBegin;
    443:   if (!*lme) PetscFunctionReturn(PETSC_SUCCESS);
    445:   if (--((PetscObject)*lme)->refct > 0) { *lme = NULL; PetscFunctionReturn(PETSC_SUCCESS); }
    446:   PetscCall(LMEReset(*lme));
    447:   PetscTryTypeMethod(*lme,destroy);
    448:   PetscCall(LMEMonitorCancel(*lme));
    449:   PetscCall(PetscHeaderDestroy(lme));
    450:   PetscFunctionReturn(PETSC_SUCCESS);
    451: }

    453: /*@
    454:    LMESetBV - Associates a basis vectors object to the linear matrix equation solver.

    456:    Collective

    458:    Input Parameters:
    459: +  lme - the linear matrix equation solver context
    460: -  bv  - the basis vectors object

    462:    Note:
    463:    Use `LMEGetBV()` to retrieve the basis vectors context (for example,
    464:    to free it at the end of the computations).

    466:    Level: advanced

    468: .seealso: [](ch:lme), `LMEGetBV()`
    469: @*/
    470: PetscErrorCode LMESetBV(LME lme,BV bv)
    471: {
    472:   PetscFunctionBegin;
    475:   PetscCheckSameComm(lme,1,bv,2);
    476:   PetscCall(PetscObjectReference((PetscObject)bv));
    477:   PetscCall(BVDestroy(&lme->V));
    478:   lme->V = bv;
    479:   PetscFunctionReturn(PETSC_SUCCESS);
    480: }

    482: /*@
    483:    LMEGetBV - Obtain the basis vectors object associated to the matrix
    484:    function solver.

    486:    Not Collective

    488:    Input Parameter:
    489: .  lme - the linear matrix equation solver context

    491:    Output Parameter:
    492: .  bv - basis vectors context

    494:    Level: advanced

    496: .seealso: [](ch:lme), `LMESetBV()`
    497: @*/
    498: PetscErrorCode LMEGetBV(LME lme,BV *bv)
    499: {
    500:   PetscFunctionBegin;
    502:   PetscAssertPointer(bv,2);
    503:   if (!lme->V) {
    504:     PetscCall(BVCreate(PetscObjectComm((PetscObject)lme),&lme->V));
    505:     PetscCall(PetscObjectIncrementTabLevel((PetscObject)lme->V,(PetscObject)lme,0));
    506:     PetscCall(PetscObjectSetOptions((PetscObject)lme->V,((PetscObject)lme)->options));
    507:   }
    508:   *bv = lme->V;
    509:   PetscFunctionReturn(PETSC_SUCCESS);
    510: }