Actual source code: ex22f.F90

  1: !
  2: !  - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
  3: !  SLEPc - Scalable Library for Eigenvalue Problem Computations
  4: !  Copyright (c) 2002-, Universitat Politecnica de Valencia, Spain
  5: !
  6: !  This file is part of SLEPc.
  7: !  SLEPc is distributed under a 2-clause BSD license (see LICENSE).
  8: !  - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
  9: !
 10: !  Program usage: mpiexec -n <np> ./ex22f [-n <n>] [-tau <tau>] [SLEPc opts]
 11: !
 12: !  Description: Delay differential equation. Fortran90 equivalent of ex22.c
 13: !
 14: !  The command line options are:
 15: !    -n <n>, where <n> = number of grid subdivisions
 16: !    -tau <tau>, where <tau> = delay parameter
 17: !
 18: ! ----------------------------------------------------------------------
 19: !  Solve parabolic partial differential equation with time delay tau
 20: !
 21: !           u_t = u_xx + aa*u(t) + bb*u(t-tau)
 22: !           u(0,t) = u(pi,t) = 0
 23: !
 24: !  with aa = 20 and bb(x) = -4.1+x*(1-exp(x-pi)).
 25: !
 26: !  Discretization leads to a DDE of dimension n
 27: !
 28: !           -u' = A*u(t) + B*u(t-tau)
 29: !
 30: !  which results in the nonlinear eigenproblem
 31: !
 32: !           (-lambda*I + A + exp(-tau*lambda)*B)*u = 0
 33: ! ----------------------------------------------------------------------
 34: !
 35: #include <slepc/finclude/slepcnep.h>
 36: program ex22f
 37:   use slepcnep
 38:   implicit none

 40: ! - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
 41: ! Declarations
 42: ! - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -

 44:   Mat            :: Id, A, B, mats(3)     ! problem matrices
 45:   FN             :: f1, f2, f3, funs(3)   ! functions to define the nonlinear operator
 46:   NEP            :: nep                   ! nonlinear eigensolver context
 47:   NEPType        :: tname
 48:   PetscScalar    :: bb, coeffs(2), scal
 49:   PetscReal      :: tau, h, aa, xi, tol
 50:   PetscInt       :: n, i, nev, Istart, Iend
 51:   PetscMPIInt    :: rank
 52:   PetscErrorCode :: ierr
 53:   PetscBool      :: flg, terse
 54:   PetscScalar, parameter :: one = 1.0

 56: ! - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
 57: ! Beginning of program
 58: ! - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -

 60:   PetscCallA(SlepcInitialize(PETSC_NULL_CHARACTER, ierr))
 61:   PetscCallMPIA(MPI_Comm_rank(PETSC_COMM_WORLD, rank, ierr))
 62:   n = 128
 63:   PetscCallA(PetscOptionsGetInt(PETSC_NULL_OPTIONS, PETSC_NULL_CHARACTER, '-n', n, flg, ierr))
 64:   tau = 0.001
 65:   PetscCallA(PetscOptionsGetReal(PETSC_NULL_OPTIONS, PETSC_NULL_CHARACTER, '-tau', tau, flg, ierr))
 66:   if (rank == 0) then
 67:     write (*, '(/a,i4,a,f6.3)') 'Delay Eigenproblem, n =', n, ', tau =', tau
 68:   end if

 70:   aa = 20.0
 71:   h = PETSC_PI/real(n + 1, PETSC_REAL_KIND)

 73: ! - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
 74: ! Create problem matrices
 75: ! - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -

 77: ! ** Id is the identity matrix
 78:   PetscCallA(MatCreateConstantDiagonal(PETSC_COMM_WORLD, PETSC_DECIDE, PETSC_DECIDE, n, n, one, Id, ierr))
 79:   PetscCallA(MatSetOption(Id, MAT_HERMITIAN, PETSC_TRUE, ierr))

 81: ! ** A = 1/h^2*tridiag(1,-2,1) + aa*I
 82:   PetscCallA(MatCreate(PETSC_COMM_WORLD, A, ierr))
 83:   PetscCallA(MatSetSizes(A, PETSC_DECIDE, PETSC_DECIDE, n, n, ierr))
 84:   PetscCallA(MatSetFromOptions(A, ierr))
 85:   PetscCallA(MatGetOwnershipRange(A, Istart, Iend, ierr))
 86:   coeffs(1) = 1.0/(h*h)
 87:   coeffs(2) = -2.0/(h*h) + aa
 88:   do i = Istart, Iend - 1
 89:     if (i > 0) then
 90:       PetscCallA(MatSetValue(A, i, i - 1, coeffs(1), INSERT_VALUES, ierr))
 91:     end if
 92:     if (i < n - 1) then
 93:       PetscCallA(MatSetValue(A, i, i + 1, coeffs(1), INSERT_VALUES, ierr))
 94:     end if
 95:     PetscCallA(MatSetValue(A, i, i, coeffs(2), INSERT_VALUES, ierr))
 96:   end do
 97:   PetscCallA(MatAssemblyBegin(A, MAT_FINAL_ASSEMBLY, ierr))
 98:   PetscCallA(MatAssemblyEnd(A, MAT_FINAL_ASSEMBLY, ierr))
 99:   PetscCallA(MatSetOption(A, MAT_HERMITIAN, PETSC_TRUE, ierr))

101: ! ** B = diag(bb(xi))
102:   PetscCallA(MatCreate(PETSC_COMM_WORLD, B, ierr))
103:   PetscCallA(MatSetSizes(B, PETSC_DECIDE, PETSC_DECIDE, n, n, ierr))
104:   PetscCallA(MatSetFromOptions(B, ierr))
105:   PetscCallA(MatGetOwnershipRange(B, Istart, Iend, ierr))
106:   do i = Istart, Iend - 1
107:     xi = (i + 1)*h
108:     bb = -4.1 + xi*(1.0 - exp(xi - PETSC_PI))
109:     PetscCallA(MatSetValue(B, i, i, bb, INSERT_VALUES, ierr))
110:   end do
111:   PetscCallA(MatAssemblyBegin(B, MAT_FINAL_ASSEMBLY, ierr))
112:   PetscCallA(MatAssemblyEnd(B, MAT_FINAL_ASSEMBLY, ierr))
113:   PetscCallA(MatSetOption(B, MAT_HERMITIAN, PETSC_TRUE, ierr))

115: ! - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
116: ! Create problem functions, f1=-lambda, f2=1.0, f3=exp(-tau*lambda)
117: ! - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -

119:   PetscCallA(FNCreate(PETSC_COMM_WORLD, f1, ierr))
120:   PetscCallA(FNSetType(f1, FNRATIONAL, ierr))
121:   coeffs(1) = -1.0
122:   coeffs(2) = 0.0
123:   PetscCallA(FNRationalSetNumerator(f1, 2_PETSC_INT_KIND, coeffs, ierr))

125:   PetscCallA(FNCreate(PETSC_COMM_WORLD, f2, ierr))
126:   PetscCallA(FNSetType(f2, FNRATIONAL, ierr))
127:   coeffs(1) = 1.0
128:   PetscCallA(FNRationalSetNumerator(f2, 1_PETSC_INT_KIND, coeffs, ierr))

130:   PetscCallA(FNCreate(PETSC_COMM_WORLD, f3, ierr))
131:   PetscCallA(FNSetType(f3, FNEXP, ierr))
132:   scal = -tau
133:   PetscCallA(FNSetScale(f3, scal, one, ierr))

135: ! - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
136: ! Create the eigensolver and set various options
137: ! - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -

139: ! ** Create eigensolver context
140:   PetscCallA(NEPCreate(PETSC_COMM_WORLD, nep, ierr))

142: ! ** Set the split operator. Note that A is passed first so that
143: ! ** SUBSET_NONZERO_PATTERN can be used
144:   mats(1) = A
145:   mats(2) = Id
146:   mats(3) = B
147:   funs(1) = f2
148:   funs(2) = f1
149:   funs(3) = f3
150:   PetscCallA(NEPSetSplitOperator(nep, 3_PETSC_INT_KIND, mats, funs, SUBSET_NONZERO_PATTERN, ierr))
151:   PetscCallA(NEPSetProblemType(nep, NEP_GENERAL, ierr))

153: ! - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
154: ! Customize nonlinear solver; set runtime options
155: ! - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -

157:   tol = 1e-9
158:   PetscCallA(NEPSetTolerances(nep, tol, PETSC_CURRENT_INTEGER, ierr))
159:   PetscCallA(NEPSetDimensions(nep, 1_PETSC_INT_KIND, PETSC_DETERMINE_INTEGER, PETSC_DETERMINE_INTEGER, ierr))
160:   PetscCallA(NEPRIISetLagPreconditioner(nep, 0_PETSC_INT_KIND, ierr))

162: ! ** Set solver parameters at runtime
163:   PetscCallA(NEPSetFromOptions(nep, ierr))

165: ! - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
166: ! Solve the eigensystem
167: ! - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -

169:   PetscCallA(NEPSolve(nep, ierr))

171: ! ** Optional: Get some information from the solver and display it
172:   PetscCallA(NEPGetType(nep, tname, ierr))
173:   if (rank == 0) then
174:     write (*, '(a,a)') ' Solution method: ', tname
175:   end if
176:   PetscCallA(NEPGetDimensions(nep, nev, PETSC_NULL_INTEGER, PETSC_NULL_INTEGER, ierr))
177:   if (rank == 0) then
178:     write (*, '(a,i4)') ' Number of requested eigenvalues:', nev
179:   end if

181: ! - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
182: ! Display solution and clean up
183: ! - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -

185: ! ** show detailed info unless -terse option is given by user
186:   PetscCallA(PetscOptionsHasName(PETSC_NULL_OPTIONS, PETSC_NULL_CHARACTER, '-terse', terse, ierr))
187:   if (terse) then
188:     PetscCallA(NEPErrorView(nep, NEP_ERROR_RELATIVE, PETSC_NULL_VIEWER, ierr))
189:   else
190:     PetscCallA(PetscViewerPushFormat(PETSC_VIEWER_STDOUT_WORLD, PETSC_VIEWER_ASCII_INFO_DETAIL, ierr))
191:     PetscCallA(NEPConvergedReasonView(nep, PETSC_VIEWER_STDOUT_WORLD, ierr))
192:     PetscCallA(NEPErrorView(nep, NEP_ERROR_RELATIVE, PETSC_VIEWER_STDOUT_WORLD, ierr))
193:     PetscCallA(PetscViewerPopFormat(PETSC_VIEWER_STDOUT_WORLD, ierr))
194:   end if
195:   PetscCallA(NEPDestroy(nep, ierr))
196:   PetscCallA(MatDestroy(Id, ierr))
197:   PetscCallA(MatDestroy(A, ierr))
198:   PetscCallA(MatDestroy(B, ierr))
199:   PetscCallA(FNDestroy(f1, ierr))
200:   PetscCallA(FNDestroy(f2, ierr))
201:   PetscCallA(FNDestroy(f3, ierr))
202:   PetscCallA(SlepcFinalize(ierr))
203: end program ex22f

205: !/*TEST
206: !
207: !   test:
208: !      suffix: 1
209: !      args: -terse
210: !      requires: !single
211: !      filter: sed -e "s/[+-]0\.0*i//g"
212: !
213: !TEST*/