Actual source code: ex22.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: */

     11: static char help[] = "Delay differential equation.\n\n"
     12:   "The command line options are:\n"
     13:   "  -n <n>, where <n> = number of grid subdivisions.\n"
     14:   "  -tau <tau>, where <tau> is the delay parameter.\n\n";

     16: /*
     17:    Solve parabolic partial differential equation with time delay tau

     19:             u_t = u_xx + a*u(t) + b*u(t-tau)
     20:             u(0,t) = u(pi,t) = 0

     22:    with a = 20 and b(x) = -4.1+x*(1-exp(x-pi)).

     24:    Discretization leads to a DDE of dimension n

     26:             -u' = A*u(t) + B*u(t-tau)

     28:    which results in the nonlinear eigenproblem

     30:             (-lambda*I + A + exp(-tau*lambda)*B)*u = 0
     31: */

     33: #include <slepcnep.h>

     35: int main(int argc,char **argv)
     36: {
     37:   NEP            nep;             /* nonlinear eigensolver context */
     38:   Mat            Id,A,B;          /* problem matrices */
     39:   FN             f1,f2,f3;        /* functions to define the nonlinear operator */
     40:   Mat            mats[3];
     41:   FN             funs[3];
     42:   PetscScalar    coeffs[2],b;
     43:   PetscInt       n=128,nev,Istart,Iend,i;
     44:   PetscReal      tau=0.001,h,a=20,xi;
     45:   PetscBool      terse;

     48:   SlepcInitialize(&argc,&argv,(char*)0,help);if (ierr) return ierr;
     49:   PetscOptionsGetInt(NULL,NULL,"-n",&n,NULL);
     50:   PetscOptionsGetReal(NULL,NULL,"-tau",&tau,NULL);
     51:   PetscPrintf(PETSC_COMM_WORLD,"\n1-D Delay Eigenproblem, n=%D, tau=%g\n\n",n,(double)tau);
     52:   h = PETSC_PI/(PetscReal)(n+1);

     54:   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
     55:      Create nonlinear eigensolver context
     56:      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */

     58:   NEPCreate(PETSC_COMM_WORLD,&nep);

     60:   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
     61:      Create problem matrices and coefficient functions. Pass them to NEP
     62:      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */

     64:   /*
     65:      Identity matrix
     66:   */
     67:   MatCreate(PETSC_COMM_WORLD,&Id);
     68:   MatSetSizes(Id,PETSC_DECIDE,PETSC_DECIDE,n,n);
     69:   MatSetFromOptions(Id);
     70:   MatSetUp(Id);
     71:   MatGetOwnershipRange(Id,&Istart,&Iend);
     72:   for (i=Istart;i<Iend;i++) {
     73:     MatSetValue(Id,i,i,1.0,INSERT_VALUES);
     74:   }
     75:   MatAssemblyBegin(Id,MAT_FINAL_ASSEMBLY);
     76:   MatAssemblyEnd(Id,MAT_FINAL_ASSEMBLY);
     77:   MatSetOption(Id,MAT_HERMITIAN,PETSC_TRUE);

     79:   /*
     80:      A = 1/h^2*tridiag(1,-2,1) + a*I
     81:   */
     82:   MatCreate(PETSC_COMM_WORLD,&A);
     83:   MatSetSizes(A,PETSC_DECIDE,PETSC_DECIDE,n,n);
     84:   MatSetFromOptions(A);
     85:   MatSetUp(A);
     86:   MatGetOwnershipRange(A,&Istart,&Iend);
     87:   for (i=Istart;i<Iend;i++) {
     88:     if (i>0) { MatSetValue(A,i,i-1,1.0/(h*h),INSERT_VALUES); }
     89:     if (i<n-1) { MatSetValue(A,i,i+1,1.0/(h*h),INSERT_VALUES); }
     90:     MatSetValue(A,i,i,-2.0/(h*h)+a,INSERT_VALUES);
     91:   }
     92:   MatAssemblyBegin(A,MAT_FINAL_ASSEMBLY);
     93:   MatAssemblyEnd(A,MAT_FINAL_ASSEMBLY);
     94:   MatSetOption(A,MAT_HERMITIAN,PETSC_TRUE);

     96:   /*
     97:      B = diag(b(xi))
     98:   */
     99:   MatCreate(PETSC_COMM_WORLD,&B);
    100:   MatSetSizes(B,PETSC_DECIDE,PETSC_DECIDE,n,n);
    101:   MatSetFromOptions(B);
    102:   MatSetUp(B);
    103:   MatGetOwnershipRange(B,&Istart,&Iend);
    104:   for (i=Istart;i<Iend;i++) {
    105:     xi = (i+1)*h;
    106:     b = -4.1+xi*(1.0-PetscExpReal(xi-PETSC_PI));
    107:     MatSetValue(B,i,i,b,INSERT_VALUES);
    108:   }
    109:   MatAssemblyBegin(B,MAT_FINAL_ASSEMBLY);
    110:   MatAssemblyEnd(B,MAT_FINAL_ASSEMBLY);
    111:   MatSetOption(B,MAT_HERMITIAN,PETSC_TRUE);

    113:   /*
    114:      Functions: f1=-lambda, f2=1.0, f3=exp(-tau*lambda)
    115:   */
    116:   FNCreate(PETSC_COMM_WORLD,&f1);
    117:   FNSetType(f1,FNRATIONAL);
    118:   coeffs[0] = -1.0; coeffs[1] = 0.0;
    119:   FNRationalSetNumerator(f1,2,coeffs);

    121:   FNCreate(PETSC_COMM_WORLD,&f2);
    122:   FNSetType(f2,FNRATIONAL);
    123:   coeffs[0] = 1.0;
    124:   FNRationalSetNumerator(f2,1,coeffs);

    126:   FNCreate(PETSC_COMM_WORLD,&f3);
    127:   FNSetType(f3,FNEXP);
    128:   FNSetScale(f3,-tau,1.0);

    130:   /*
    131:      Set the split operator. Note that A is passed first so that
    132:      SUBSET_NONZERO_PATTERN can be used
    133:   */
    134:   mats[0] = A;  funs[0] = f2;
    135:   mats[1] = Id; funs[1] = f1;
    136:   mats[2] = B;  funs[2] = f3;
    137:   NEPSetSplitOperator(nep,3,mats,funs,SUBSET_NONZERO_PATTERN);

    139:   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    140:              Customize nonlinear solver; set runtime options
    141:      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */

    143:   NEPSetTolerances(nep,1e-9,PETSC_DEFAULT);
    144:   NEPSetDimensions(nep,1,PETSC_DEFAULT,PETSC_DEFAULT);
    145:   NEPRIISetLagPreconditioner(nep,0);

    147:   /*
    148:      Set solver parameters at runtime
    149:   */
    150:   NEPSetFromOptions(nep);

    152:   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    153:                       Solve the eigensystem
    154:      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */

    156:   NEPSolve(nep);
    157:   NEPGetDimensions(nep,&nev,NULL,NULL);
    158:   PetscPrintf(PETSC_COMM_WORLD," Number of requested eigenvalues: %D\n",nev);

    160:   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    161:                     Display solution and clean up
    162:      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */

    164:   /* show detailed info unless -terse option is given by user */
    165:   PetscOptionsHasName(NULL,NULL,"-terse",&terse);
    166:   if (terse) {
    167:     NEPErrorView(nep,NEP_ERROR_RELATIVE,NULL);
    168:   } else {
    169:     PetscViewerPushFormat(PETSC_VIEWER_STDOUT_WORLD,PETSC_VIEWER_ASCII_INFO_DETAIL);
    170:     NEPReasonView(nep,PETSC_VIEWER_STDOUT_WORLD);
    171:     NEPErrorView(nep,NEP_ERROR_RELATIVE,PETSC_VIEWER_STDOUT_WORLD);
    172:     PetscViewerPopFormat(PETSC_VIEWER_STDOUT_WORLD);
    173:   }
    174:   NEPDestroy(&nep);
    175:   MatDestroy(&Id);
    176:   MatDestroy(&A);
    177:   MatDestroy(&B);
    178:   FNDestroy(&f1);
    179:   FNDestroy(&f2);
    180:   FNDestroy(&f3);
    181:   SlepcFinalize();
    182:   return ierr;
    183: }

    185: /*TEST

    187:    testset:
    188:       args: -terse
    189:       requires: !single
    190:       output_file: output/ex22_1.out
    191:       test:
    192:          suffix: 1
    193:          args: -nep_type {{rii slp narnoldi}}

    195:    test:
    196:       suffix: 1_ciss
    197:       args: -nep_type ciss -rg_type ellipse -rg_ellipse_center 10 -rg_ellipse_radius 9.5 -nep_ncv 24 -terse
    198:       requires: complex

    200:    test:
    201:       suffix: 2
    202:       args: -nep_type interpol -nep_interpol_pep_extract {{none norm residual}} -rg_type interval -rg_interval_endpoints 5,20,-.1,.1 -nep_nev 3 -nep_target 5 -terse
    203:       requires: !single

    205:    test:
    206:       suffix: 3
    207:       args: -n 512 -nep_target 10 -nep_nev 3 -nep_type {{rii slp narnoldi}} -terse
    208:       requires: !single

    210: TEST*/