Date: 2017-05-17T08:27:30+00:00

Actual source code: ex21.c
slepc-3.7.4 2017-05-17
Report Typos and Errors

      1: /*
      2:    - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
      3:    SLEPc - Scalable Library for Eigenvalue Problem Computations
      4:    Copyright (c) 2002-2016, Universitat Politecnica de Valencia, Spain

      6:    This file is part of SLEPc.

      8:    SLEPc is free software: you can redistribute it and/or modify it under  the
      9:    terms of version 3 of the GNU Lesser General Public License as published by
     10:    the Free Software Foundation.

     12:    SLEPc  is  distributed in the hope that it will be useful, but WITHOUT  ANY
     13:    WARRANTY;  without even the implied warranty of MERCHANTABILITY or  FITNESS
     14:    FOR  A  PARTICULAR PURPOSE. See the GNU Lesser General Public  License  for
     15:    more details.

     17:    You  should have received a copy of the GNU Lesser General  Public  License
     18:    along with SLEPc. If not, see <http://www.gnu.org/licenses/>.
     19:    - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
     20: */

     22: static char help[] = "Simple 1-D nonlinear eigenproblem (matrix-free version, sequential).\n\n"
     23:   "The command line options are:\n"
     24:   "  -n <n>, where <n> = number of grid subdivisions\n\n";

     26: /*
     27:    Solve 1-D PDE
     28:             -u'' = lambda*u
     29:    on [0,1] subject to
     30:             u(0)=0, u'(1)=u(1)*lambda*kappa/(kappa-lambda)
     31: */

     33: #include <slepcnep.h>

     35: /*
     36:    User-defined routines
     37: */
     38: PetscErrorCode FormInitialGuess(Vec);
     39: PetscErrorCode FormFunction(NEP,PetscScalar,Mat,Mat,void*);
     40: PetscErrorCode FormJacobian(NEP,PetscScalar,Mat,void*);

     42: /*
     43:    Matrix operations and context
     44: */
     45: PetscErrorCode MatMult_Fun(Mat,Vec,Vec);
     46: PetscErrorCode MatGetDiagonal_Fun(Mat,Vec);
     47: PetscErrorCode MatDestroy_Fun(Mat);
     48: PetscErrorCode MatDuplicate_Fun(Mat,MatDuplicateOption,Mat*);
     49: PetscErrorCode MatMult_Jac(Mat,Vec,Vec);
     50: PetscErrorCode MatDestroy_Jac(Mat);

     52: typedef struct {
     53:   PetscScalar lambda,kappa;
     54:   PetscReal   h;
     55: } MatCtx;

     57: /*
     58:    User-defined application context
     59: */
     60: typedef struct {
     61:   PetscScalar kappa;   /* ratio between stiffness of spring and attached mass */
     62:   PetscReal   h;       /* mesh spacing */
     63: } ApplicationCtx;

     67: int main(int argc,char **argv)
     68: {
     69:   NEP            nep;             /* nonlinear eigensolver context */
     70:   Mat            F,J;             /* Function and Jacobian matrices */
     71:   ApplicationCtx ctx;             /* user-defined context */
     72:   MatCtx         *ctxF,*ctxJ;     /* contexts for shell matrices */
     73:   NEPType        type;
     74:   PetscInt       n=128,nev;
     75:   KSP            ksp;
     76:   PC             pc;
     77:   PetscMPIInt    size;
     78:   PetscBool      terse;

     81:   SlepcInitialize(&argc,&argv,(char*)0,help);
     82:   MPI_Comm_size(PETSC_COMM_WORLD,&size);
     83:   if (size != 1) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_SUP,"This is a uniprocessor example only!");
     84:   PetscOptionsGetInt(NULL,NULL,"-n",&n,NULL);
     85:   PetscPrintf(PETSC_COMM_WORLD,"\n1-D Nonlinear Eigenproblem, n=%D\n\n",n);
     86:   ctx.h = 1.0/(PetscReal)n;
     87:   ctx.kappa = 1.0;

     89:   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
     90:      Create nonlinear eigensolver context
     91:      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */

     93:   NEPCreate(PETSC_COMM_WORLD,&nep);

     95:   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
     96:      Create matrix data structure; set Function evaluation routine
     97:      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */

     99:   PetscNew(&ctxF);
    100:   ctxF->h = ctx.h;
    101:   ctxF->kappa = ctx.kappa;

    103:   MatCreateShell(PETSC_COMM_WORLD,n,n,n,n,(void*)ctxF,&F);
    104:   MatShellSetOperation(F,MATOP_MULT,(void(*)())MatMult_Fun);
    105:   MatShellSetOperation(F,MATOP_GET_DIAGONAL,(void(*)())MatGetDiagonal_Fun);
    106:   MatShellSetOperation(F,MATOP_DESTROY,(void(*)())MatDestroy_Fun);
    107:   MatShellSetOperation(F,MATOP_DUPLICATE,(void(*)())MatDuplicate_Fun);

    109:   /*
    110:      Set Function matrix data structure and default Function evaluation
    111:      routine
    112:   */
    113:   NEPSetFunction(nep,F,F,FormFunction,NULL);

    115:   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    116:      Create matrix data structure; set Jacobian evaluation routine
    117:      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */

    119:   PetscNew(&ctxJ);
    120:   ctxJ->h = ctx.h;
    121:   ctxJ->kappa = ctx.kappa;

    123:   MatCreateShell(PETSC_COMM_WORLD,n,n,n,n,(void*)ctxJ,&J);
    124:   MatShellSetOperation(J,MATOP_MULT,(void(*)())MatMult_Jac);
    125:   MatShellSetOperation(J,MATOP_DESTROY,(void(*)())MatDestroy_Jac);

    127:   /*
    128:      Set Jacobian matrix data structure and default Jacobian evaluation
    129:      routine
    130:   */
    131:   NEPSetJacobian(nep,J,FormJacobian,NULL);

    133:   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    134:      Customize nonlinear solver; set runtime options
    135:      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */

    137:   NEPSetType(nep,NEPRII);
    138:   NEPRIISetLagPreconditioner(nep,0);
    139:   NEPRIIGetKSP(nep,&ksp);
    140:   KSPSetType(ksp,KSPBCGS);
    141:   KSPGetPC(ksp,&pc);
    142:   PCSetType(pc,PCJACOBI);

    144:   /*
    145:      Set solver parameters at runtime
    146:   */
    147:   NEPSetFromOptions(nep);

    149:   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    150:                       Solve the eigensystem
    151:      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */

    153:   NEPSolve(nep);
    154:   NEPGetType(nep,&type);
    155:   PetscPrintf(PETSC_COMM_WORLD," Solution method: %s\n",type);
    156:   NEPGetDimensions(nep,&nev,NULL,NULL);
    157:   PetscPrintf(PETSC_COMM_WORLD," Number of requested eigenvalues: %D\n",nev);

    159:   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    160:                     Display solution and clean up
    161:      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */

    163:   /* show detailed info unless -terse option is given by user */
    164:   PetscOptionsHasName(NULL,NULL,"-terse",&terse);
    165:   if (terse) {
    166:     NEPErrorView(nep,NEP_ERROR_RELATIVE,NULL);
    167:   } else {
    168:     PetscViewerPushFormat(PETSC_VIEWER_STDOUT_WORLD,PETSC_VIEWER_ASCII_INFO_DETAIL);
    169:     NEPReasonView(nep,PETSC_VIEWER_STDOUT_WORLD);
    170:     NEPErrorView(nep,NEP_ERROR_RELATIVE,PETSC_VIEWER_STDOUT_WORLD);
    171:     PetscViewerPopFormat(PETSC_VIEWER_STDOUT_WORLD);
    172:   }
    173:   NEPDestroy(&nep);
    174:   MatDestroy(&F);
    175:   MatDestroy(&J);
    176:   SlepcFinalize();
    177:   return ierr;
    178: }

    180: /* ------------------------------------------------------------------- */
    183: /*
    184:    FormInitialGuess - Computes initial guess.

    186:    Input/Output Parameter:
    187: .  x - the solution vector
    188: */
    189: PetscErrorCode FormInitialGuess(Vec x)
    190: {

    194:   VecSet(x,1.0);
    195:   return(0);
    196: }

    198: /* ------------------------------------------------------------------- */
    201: /*
    202:    FormFunction - Computes Function matrix  T(lambda)

    204:    Input Parameters:
    205: .  nep    - the NEP context
    206: .  lambda - real part of the scalar argument
    207: .  ctx    - optional user-defined context, as set by NEPSetFunction()

    209:    Output Parameters:
    210: .  fun - Function matrix
    211: .  B   - optionally different preconditioning matrix
    212: */
    213: PetscErrorCode FormFunction(NEP nep,PetscScalar lambda,Mat fun,Mat B,void *ctx)
    214: {
    216:   MatCtx         *ctxF;

    219:   MatShellGetContext(fun,(void**)&ctxF);
    220:   ctxF->lambda = lambda;
    221:   return(0);
    222: }

    224: /* ------------------------------------------------------------------- */
    227: /*
    228:    FormJacobian - Computes Jacobian matrix  T'(lambda)

    230:    Input Parameters:
    231: .  nep    - the NEP context
    232: .  lambda - real part of the scalar argument
    233: .  ctx    - optional user-defined context, as set by NEPSetJacobian()

    235:    Output Parameters:
    236: .  jac - Jacobian matrix
    237: .  B   - optionally different preconditioning matrix
    238: */
    239: PetscErrorCode FormJacobian(NEP nep,PetscScalar lambda,Mat jac,void *ctx)
    240: {
    242:   MatCtx         *ctxJ;

    245:   MatShellGetContext(jac,(void**)&ctxJ);
    246:   ctxJ->lambda = lambda;
    247:   return(0);
    248: }

    250: /* ------------------------------------------------------------------- */
    253: PetscErrorCode MatMult_Fun(Mat A,Vec x,Vec y)
    254: {
    255:   PetscErrorCode    ierr;
    256:   MatCtx            *ctx;
    257:   PetscInt          i,n;
    258:   const PetscScalar *px;
    259:   PetscScalar       *py,c,d,de,oe;
    260:   PetscReal         h;

    263:   MatShellGetContext(A,(void**)&ctx);
    264:   VecGetArrayRead(x,&px);
    265:   VecGetArray(y,&py);

    267:   VecGetSize(x,&n);
    268:   h = ctx->h;
    269:   c = ctx->kappa/(ctx->lambda-ctx->kappa);
    270:   d = n;
    271:   de = 2.0*(d-ctx->lambda*h/3.0);   /* diagonal entry */
    272:   oe = -d-ctx->lambda*h/6.0;        /* offdiagonal entry */
    273:   py[0] = de*px[0] + oe*px[1];
    274:   for (i=1;i<n-1;i++) py[i] = oe*px[i-1] +de*px[i] + oe*px[i+1];
    275:   de = d-ctx->lambda*h/3.0+ctx->lambda*c;   /* diagonal entry of last row */
    276:   py[n-1] = oe*px[n-2] + de*px[n-1];

    278:   VecRestoreArrayRead(x,&px);
    279:   VecRestoreArray(y,&py);
    280:   return(0);
    281: }

    283: /* ------------------------------------------------------------------- */
    286: PetscErrorCode MatGetDiagonal_Fun(Mat A,Vec diag)
    287: {
    288:   PetscErrorCode    ierr;
    289:   MatCtx            *ctx;
    290:   PetscInt          n;
    291:   PetscScalar       *pd,c,d;
    292:   PetscReal         h;

    295:   MatShellGetContext(A,(void**)&ctx);
    296:   VecGetSize(diag,&n);
    297:   h = ctx->h;
    298:   c = ctx->kappa/(ctx->lambda-ctx->kappa);
    299:   d = n;
    300:   VecSet(diag,2.0*(d-ctx->lambda*h/3.0));
    301:   VecGetArray(diag,&pd);
    302:   pd[n-1] = d-ctx->lambda*h/3.0+ctx->lambda*c;
    303:   VecRestoreArray(diag,&pd);
    304:   return(0);
    305: }

    307: /* ------------------------------------------------------------------- */
    310: PetscErrorCode MatDestroy_Fun(Mat A)
    311: {
    312:   MatCtx         *ctx;

    316:   MatShellGetContext(A,(void**)&ctx);
    317:   PetscFree(ctx);
    318:   return(0);
    319: }

    321: /* ------------------------------------------------------------------- */
    324: PetscErrorCode MatDuplicate_Fun(Mat A,MatDuplicateOption op,Mat *B)
    325: {
    326:   MatCtx         *actx,*bctx;
    327:   PetscInt       n;
    328:   MPI_Comm       comm;

    332:   MatShellGetContext(A,(void**)&actx);
    333:   MatGetSize(A,&n,NULL);

    335:   PetscNew(&bctx);
    336:   bctx->h      = actx->h;
    337:   bctx->kappa  = actx->kappa;
    338:   bctx->lambda = actx->lambda;

    340:   PetscObjectGetComm((PetscObject)A,&comm);
    341:   MatCreateShell(comm,n,n,n,n,(void*)bctx,B);
    342:   MatShellSetOperation(*B,MATOP_MULT,(void(*)())MatMult_Fun);
    343:   MatShellSetOperation(*B,MATOP_GET_DIAGONAL,(void(*)())MatGetDiagonal_Fun);
    344:   MatShellSetOperation(*B,MATOP_DESTROY,(void(*)())MatDestroy_Fun);
    345:   MatShellSetOperation(*B,MATOP_DUPLICATE,(void(*)())MatDuplicate_Fun);
    346:   return(0);
    347: }

    349: /* ------------------------------------------------------------------- */
    352: PetscErrorCode MatMult_Jac(Mat A,Vec x,Vec y)
    353: {
    354:   PetscErrorCode    ierr;
    355:   MatCtx            *ctx;
    356:   PetscInt          i,n;
    357:   const PetscScalar *px;
    358:   PetscScalar       *py,c,de,oe;
    359:   PetscReal         h;

    362:   MatShellGetContext(A,(void**)&ctx);
    363:   VecGetArrayRead(x,&px);
    364:   VecGetArray(y,&py);

    366:   VecGetSize(x,&n);
    367:   h = ctx->h;
    368:   c = ctx->kappa/(ctx->lambda-ctx->kappa);
    369:   de = -2.0*h/3.0;    /* diagonal entry */
    370:   oe = -h/6.0;        /* offdiagonal entry */
    371:   py[0] = de*px[0] + oe*px[1];
    372:   for (i=1;i<n-1;i++) py[i] = oe*px[i-1] +de*px[i] + oe*px[i+1];
    373:   de = -h/3.0-c*c;    /* diagonal entry of last row */
    374:   py[n-1] = oe*px[n-2] + de*px[n-1];

    376:   VecRestoreArrayRead(x,&px);
    377:   VecRestoreArray(y,&py);
    378:   return(0);
    379: }

    381: /* ------------------------------------------------------------------- */
    384: PetscErrorCode MatDestroy_Jac(Mat A)
    385: {
    386:   MatCtx         *ctx;

    390:   MatShellGetContext(A,(void**)&ctx);
    391:   PetscFree(ctx);
    392:   return(0);
    393: }