Actual source code: ex16f.F90
slepc-3.22.1 2024-10-28
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> ./ex16f [-help] [-n <n>] [-m <m>] [SLEPc opts]
11: !
12: ! Description: Simple example that solves a quadratic eigensystem with PEP.
13: ! This is the Fortran90 equivalent to ex16.c
14: !
15: ! The command line options are:
16: ! -n <n>, where <n> = number of grid subdivisions in x dimension
17: ! -m <m>, where <m> = number of grid subdivisions in y dimension
18: !
19: ! ----------------------------------------------------------------------
20: !
21: program main
22: #include <slepc/finclude/slepcpep.h>
23: use slepcpep
24: implicit none
26: ! - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
27: ! Declarations
28: ! - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
29: !
30: ! Variables:
31: ! M,C,K problem matrices
32: ! pep polynomial eigenproblem solver context
34: Mat M, C, K, A(3)
35: PEP pep
36: PEPType tname
37: PetscInt N, nx, ny, i, j, Istart, Iend, II
38: PetscInt nev, ithree
39: PetscMPIInt rank
40: PetscErrorCode ierr
41: PetscBool flg, terse
42: PetscScalar mone, two, four, val
44: ! - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
45: ! Beginning of program
46: ! - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
48: PetscCallA(SlepcInitialize(PETSC_NULL_CHARACTER,ierr))
49: PetscCallMPIA(MPI_Comm_rank(PETSC_COMM_WORLD,rank,ierr))
50: nx = 10
51: PetscCallA(PetscOptionsGetInt(PETSC_NULL_OPTIONS,PETSC_NULL_CHARACTER,'-n',nx,flg,ierr))
52: PetscCallA(PetscOptionsGetInt(PETSC_NULL_OPTIONS,PETSC_NULL_CHARACTER,'-m',ny,flg,ierr))
53: if (.not. flg) then
54: ny = nx
55: endif
56: N = nx*ny
57: if (rank .eq. 0) then
58: write(*,100) N, nx, ny
59: endif
60: 100 format (/'Quadratic Eigenproblem, N=',I6,' (',I4,'x',I4,' grid)')
62: ! - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
63: ! Compute the matrices that define the eigensystem, (k^2*M+k*C+K)x=0
64: ! - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
66: ! ** K is the 2-D Laplacian
67: PetscCallA(MatCreate(PETSC_COMM_WORLD,K,ierr))
68: PetscCallA(MatSetSizes(K,PETSC_DECIDE,PETSC_DECIDE,N,N,ierr))
69: PetscCallA(MatSetFromOptions(K,ierr))
70: PetscCallA(MatGetOwnershipRange(K,Istart,Iend,ierr))
71: mone = -1.0
72: four = 4.0
73: do II=Istart,Iend-1
74: i = II/nx
75: j = II-i*nx
76: if (i .gt. 0) then
77: PetscCallA(MatSetValue(K,II,II-nx,mone,INSERT_VALUES,ierr))
78: endif
79: if (i .lt. ny-1) then
80: PetscCallA(MatSetValue(K,II,II+nx,mone,INSERT_VALUES,ierr))
81: endif
82: if (j .gt. 0) then
83: PetscCallA(MatSetValue(K,II,II-1,mone,INSERT_VALUES,ierr))
84: endif
85: if (j .lt. nx-1) then
86: PetscCallA(MatSetValue(K,II,II+1,mone,INSERT_VALUES,ierr))
87: endif
88: PetscCallA(MatSetValue(K,II,II,four,INSERT_VALUES,ierr))
89: end do
90: PetscCallA(MatAssemblyBegin(K,MAT_FINAL_ASSEMBLY,ierr))
91: PetscCallA(MatAssemblyEnd(K,MAT_FINAL_ASSEMBLY,ierr))
93: ! ** C is the 1-D Laplacian on horizontal lines
94: PetscCallA(MatCreate(PETSC_COMM_WORLD,C,ierr))
95: PetscCallA(MatSetSizes(C,PETSC_DECIDE,PETSC_DECIDE,N,N,ierr))
96: PetscCallA(MatSetFromOptions(C,ierr))
97: PetscCallA(MatGetOwnershipRange(C,Istart,Iend,ierr))
98: two = 2.0
99: do II=Istart,Iend-1
100: i = II/nx
101: j = II-i*nx
102: if (j .gt. 0) then
103: PetscCallA(MatSetValue(C,II,II-1,mone,INSERT_VALUES,ierr))
104: endif
105: if (j .lt. nx-1) then
106: PetscCallA(MatSetValue(C,II,II+1,mone,INSERT_VALUES,ierr))
107: endif
108: PetscCallA(MatSetValue(C,II,II,two,INSERT_VALUES,ierr))
109: end do
110: PetscCallA(MatAssemblyBegin(C,MAT_FINAL_ASSEMBLY,ierr))
111: PetscCallA(MatAssemblyEnd(C,MAT_FINAL_ASSEMBLY,ierr))
113: ! ** M is a diagonal matrix
114: PetscCallA(MatCreate(PETSC_COMM_WORLD,M,ierr))
115: PetscCallA(MatSetSizes(M,PETSC_DECIDE,PETSC_DECIDE,N,N,ierr))
116: PetscCallA(MatSetFromOptions(M,ierr))
117: PetscCallA(MatGetOwnershipRange(M,Istart,Iend,ierr))
118: do II=Istart,Iend-1
119: val = II+1
120: PetscCallA(MatSetValue(M,II,II,val,INSERT_VALUES,ierr))
121: end do
122: PetscCallA(MatAssemblyBegin(M,MAT_FINAL_ASSEMBLY,ierr))
123: PetscCallA(MatAssemblyEnd(M,MAT_FINAL_ASSEMBLY,ierr))
125: ! - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
126: ! Create the eigensolver and set various options
127: ! - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
129: ! ** Create eigensolver context
130: PetscCallA(PEPCreate(PETSC_COMM_WORLD,pep,ierr))
132: ! ** Set matrices and problem type
133: A(1) = K
134: A(2) = C
135: A(3) = M
136: ithree = 3
137: PetscCallA(PEPSetOperators(pep,ithree,A,ierr))
138: PetscCallA(PEPSetProblemType(pep,PEP_GENERAL,ierr))
140: ! ** Set solver parameters at runtime
141: PetscCallA(PEPSetFromOptions(pep,ierr))
143: ! - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
144: ! Solve the eigensystem
145: ! - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
147: PetscCallA(PEPSolve(pep,ierr))
149: ! ** Optional: Get some information from the solver and display it
150: PetscCallA(PEPGetType(pep,tname,ierr))
151: if (rank .eq. 0) then
152: write(*,120) tname
153: endif
154: 120 format (' Solution method: ',A)
155: PetscCallA(PEPGetDimensions(pep,nev,PETSC_NULL_INTEGER,PETSC_NULL_INTEGER,ierr))
156: if (rank .eq. 0) then
157: write(*,130) nev
158: endif
159: 130 format (' Number of requested eigenvalues:',I4)
161: ! - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
162: ! Display solution and clean up
163: ! - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
165: ! ** show detailed info unless -terse option is given by user
166: PetscCallA(PetscOptionsHasName(PETSC_NULL_OPTIONS,PETSC_NULL_CHARACTER,'-terse',terse,ierr))
167: if (terse) then
168: PetscCallA(PEPErrorView(pep,PEP_ERROR_BACKWARD,PETSC_NULL_VIEWER,ierr))
169: else
170: PetscCallA(PetscViewerPushFormat(PETSC_VIEWER_STDOUT_WORLD,PETSC_VIEWER_ASCII_INFO_DETAIL,ierr))
171: PetscCallA(PEPConvergedReasonView(pep,PETSC_VIEWER_STDOUT_WORLD,ierr))
172: PetscCallA(PEPErrorView(pep,PEP_ERROR_BACKWARD,PETSC_VIEWER_STDOUT_WORLD,ierr))
173: PetscCallA(PetscViewerPopFormat(PETSC_VIEWER_STDOUT_WORLD,ierr))
174: endif
175: PetscCallA(PEPDestroy(pep,ierr))
176: PetscCallA(MatDestroy(K,ierr))
177: PetscCallA(MatDestroy(C,ierr))
178: PetscCallA(MatDestroy(M,ierr))
179: PetscCallA(SlepcFinalize(ierr))
180: end
182: !/*TEST
183: !
184: ! test:
185: ! suffix: 1
186: ! args: -pep_nev 4 -pep_ncv 19 -terse
187: ! requires: !complex
188: !
189: !TEST*/