Date: 2021-02-01T14:42:20+00:00

Actual source code: mfnsolve.c
slepc-3.14.2 2021-02-01
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      1: /*
      2:    - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
      3:    SLEPc - Scalable Library for Eigenvalue Problem Computations
      4:    Copyright (c) 2002-2020, 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:    MFN routines related to the solution process
     12: */

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

     16: static PetscErrorCode MFNSolve_Private(MFN mfn,Vec b,Vec x)
     17: {

     21:   VecSetErrorIfLocked(x,3);

     23:   /* call setup */
     24:   MFNSetUp(mfn);
     25:   mfn->its = 0;

     27:   MFNViewFromOptions(mfn,NULL,"-mfn_view_pre");

     29:   /* check nonzero right-hand side */
     30:   VecNorm(b,NORM_2,&mfn->bnorm);
     31:   if (!mfn->bnorm) SETERRQ(PetscObjectComm((PetscObject)mfn),PETSC_ERR_ARG_WRONG,"Cannot pass a zero b vector to MFNSolve()");

     33:   /* call solver */
     34:   PetscLogEventBegin(MFN_Solve,mfn,b,x,0);
     35:   if (b!=x) { VecLockReadPush(b); }
     36:   (*mfn->ops->solve)(mfn,b,x);
     37:   if (b!=x) { VecLockReadPop(b); }
     38:   PetscLogEventEnd(MFN_Solve,mfn,b,x,0);

     40:   if (!mfn->reason) SETERRQ(PetscObjectComm((PetscObject)mfn),PETSC_ERR_PLIB,"Internal error, solver returned without setting converged reason");

     42:   if (mfn->errorifnotconverged && mfn->reason < 0) SETERRQ(PetscObjectComm((PetscObject)mfn),PETSC_ERR_NOT_CONVERGED,"MFNSolve has not converged");

     44:   /* various viewers */
     45:   MFNViewFromOptions(mfn,NULL,"-mfn_view");
     46:   MFNConvergedReasonViewFromOptions(mfn);
     47:   MatViewFromOptions(mfn->A,(PetscObject)mfn,"-mfn_view_mat");
     48:   VecViewFromOptions(b,(PetscObject)mfn,"-mfn_view_rhs");
     49:   VecViewFromOptions(x,(PetscObject)mfn,"-mfn_view_solution");
     50:   return(0);
     51: }

     53: /*@
     54:    MFNSolve - Solves the matrix function problem. Given a vector b, the
     55:    vector x = f(A)*b is returned.

     57:    Collective on mfn

     59:    Input Parameters:
     60: +  mfn - matrix function context obtained from MFNCreate()
     61: -  b   - the right hand side vector

     63:    Output Parameter:
     64: .  x   - the solution (this may be the same vector as b, then b will be
     65:          overwritten with the answer)

     67:    Options Database Keys:
     68: +  -mfn_view - print information about the solver used
     69: .  -mfn_view_mat binary - save the matrix to the default binary viewer
     70: .  -mfn_view_rhs binary - save right hand side vector to the default binary viewer
     71: .  -mfn_view_solution binary - save computed solution vector to the default binary viewer
     72: -  -mfn_converged_reason - print reason for convergence, and number of iterations

     74:    Notes:
     75:    The matrix A is specified with MFNSetOperator().
     76:    The function f is specified with MFNSetFN().

     78:    Level: beginner

     80: .seealso: MFNCreate(), MFNSetUp(), MFNDestroy(), MFNSetTolerances(),
     81:           MFNSetOperator(), MFNSetFN()
     82: @*/
     83: PetscErrorCode MFNSolve(MFN mfn,Vec b,Vec x)
     84: {

     93:   mfn->transpose_solve = PETSC_FALSE;
     94:   MFNSolve_Private(mfn,b,x);
     95:   return(0);
     96: }

     98: /*@
     99:    MFNSolveTranspose - Solves the transpose matrix function problem. Given a vector b,
    100:    the vector x = f(A^T)*b is returned.

    102:    Collective on mfn

    104:    Input Parameters:
    105: +  mfn - matrix function context obtained from MFNCreate()
    106: -  b   - the right hand side vector

    108:    Output Parameter:
    109: .  x   - the solution (this may be the same vector as b, then b will be
    110:          overwritten with the answer)

    112:    Note:
    113:    See available options at MFNSolve().

    115:    Level: beginner

    117: .seealso: MFNSolve()
    118: @*/
    119: PetscErrorCode MFNSolveTranspose(MFN mfn,Vec b,Vec x)
    120: {

    129:   mfn->transpose_solve = PETSC_TRUE;
    130:   if (!mfn->AT) { MatCreateTranspose(mfn->A,&mfn->AT); }
    131:   MFNSolve_Private(mfn,b,x);
    132:   return(0);
    133: }

    135: /*@
    136:    MFNGetIterationNumber - Gets the current iteration number. If the
    137:    call to MFNSolve() is complete, then it returns the number of iterations
    138:    carried out by the solution method.

    140:    Not Collective

    142:    Input Parameter:
    143: .  mfn - the matrix function context

    145:    Output Parameter:
    146: .  its - number of iterations

    148:    Note:
    149:    During the i-th iteration this call returns i-1. If MFNSolve() is
    150:    complete, then parameter "its" contains either the iteration number at
    151:    which convergence was successfully reached, or failure was detected.
    152:    Call MFNGetConvergedReason() to determine if the solver converged or
    153:    failed and why.

    155:    Level: intermediate

    157: .seealso: MFNGetConvergedReason(), MFNSetTolerances()
    158: @*/
    159: PetscErrorCode MFNGetIterationNumber(MFN mfn,PetscInt *its)
    160: {
    164:   *its = mfn->its;
    165:   return(0);
    166: }

    168: /*@
    169:    MFNGetConvergedReason - Gets the reason why the MFNSolve() iteration was
    170:    stopped.

    172:    Not Collective

    174:    Input Parameter:
    175: .  mfn - the matrix function context

    177:    Output Parameter:
    178: .  reason - negative value indicates diverged, positive value converged

    180:    Notes:

    182:    Possible values for reason are
    183: +  MFN_CONVERGED_TOL - converged up to tolerance
    184: .  MFN_CONVERGED_ITS - solver completed the requested number of steps
    185: .  MFN_DIVERGED_ITS - required more than max_it iterations to reach convergence
    186: -  MFN_DIVERGED_BREAKDOWN - generic breakdown in method

    188:    Can only be called after the call to MFNSolve() is complete.

    190:    Basic solvers (e.g. unrestarted Krylov iterations) cannot determine if the
    191:    computation is accurate up to the requested tolerance. In that case, the
    192:    converged reason is set to MFN_CONVERGED_ITS if the requested number of steps
    193:    (for instance, the ncv value in unrestarted Krylov methods) have been
    194:    completed successfully.

    196:    Level: intermediate

    198: .seealso: MFNSetTolerances(), MFNSolve(), MFNConvergedReason, MFNSetErrorIfNotConverged()
    199: @*/
    200: PetscErrorCode MFNGetConvergedReason(MFN mfn,MFNConvergedReason *reason)
    201: {
    205:   *reason = mfn->reason;
    206:   return(0);
    207: }