Actual source code: ex30.c
1: /*$Id: ex30.c,v 1.27 2001/08/07 03:03:07 balay Exp $*/
3: static char help[] = "Tests ILU factorization and illustrates drawing of matrix sparsity structure with MatView().\n\
4: Input parameters are:\n\
5: -lf <level> : level of fill for ILU (default is 0)\n\
6: -lu : use full LU factorization\n\
7: -m <value>,-n <value> : grid dimensions\n\
8: Note that most users should employ the KSP interface to the\n\
9: linear solvers instead of using the factorization routines\n\
10: directly.\n\n";
12: #include petscmat.h
16: int main(int argc,char **args)
17: {
18: Mat C,A;
19: int i,j,m = 5,n = 5,I,J,ierr,lf = 0;
20: PetscTruth flg1;
21: PetscScalar v;
22: IS row,col;
23: PetscViewer viewer1,viewer2;
25: PetscInitialize(&argc,&args,(char *)0,help);
26: PetscOptionsGetInt(PETSC_NULL,"-m",&m,PETSC_NULL);
27: PetscOptionsGetInt(PETSC_NULL,"-n",&n,PETSC_NULL);
28: PetscOptionsGetInt(PETSC_NULL,"-lf",&lf,PETSC_NULL);
30: PetscViewerDrawOpen(PETSC_COMM_SELF,0,0,0,0,400,400,&viewer1);
31: PetscViewerDrawOpen(PETSC_COMM_SELF,0,0,400,0,400,400,&viewer2);
33: MatCreate(PETSC_COMM_SELF,m*n,m*n,m*n,m*n,&C);
34: MatSetFromOptions(C);
35: MatSeqBDiagSetPreallocation(C,0,1,PETSC_NULL,PETSC_NULL);
36: MatSeqAIJSetPreallocation(C,5,PETSC_NULL);
38: /* Create the matrix. (This is five-point stencil with some extra elements) */
39: for (i=0; i<m; i++) {
40: for (j=0; j<n; j++) {
41: v = -1.0; I = j + n*i;
42: J = I - n; if (J>=0) {MatSetValues(C,1,&I,1,&J,&v,INSERT_VALUES);}
43: J = I + n; if (J<m*n) {MatSetValues(C,1,&I,1,&J,&v,INSERT_VALUES);}
44: J = I - 1; if (J>=0) {MatSetValues(C,1,&I,1,&J,&v,INSERT_VALUES);}
45: J = I + 1; if (J<m*n) {MatSetValues(C,1,&I,1,&J,&v,INSERT_VALUES);}
46: v = 4.0; MatSetValues(C,1,&I,1,&I,&v,INSERT_VALUES);
47: }
48: }
49: MatAssemblyBegin(C,MAT_FINAL_ASSEMBLY);
50: MatAssemblyEnd(C,MAT_FINAL_ASSEMBLY);
52: MatGetOrdering(C,MATORDERING_RCM,&row,&col);
53: printf("original matrix:\n");
54: PetscViewerPushFormat(PETSC_VIEWER_STDOUT_SELF,PETSC_VIEWER_ASCII_INFO);
55: MatView(C,PETSC_VIEWER_STDOUT_SELF);
56: PetscViewerPopFormat(PETSC_VIEWER_STDOUT_SELF);
57: MatView(C,PETSC_VIEWER_STDOUT_SELF);
58: MatView(C,viewer1);
60: /* Compute factorization */
61: PetscOptionsHasName(PETSC_NULL,"-lu",&flg1);
62: if (flg1){
63: MatLUFactorSymbolic(C,row,col,PETSC_NULL,&A);
64: } else {
65: MatFactorInfo info;
66: info.levels = lf;
67: info.fill = 1.0;
68: info.diagonal_fill = 0;
69: info.damping = 0;
70: info.zeropivot = 0.0;
71: MatILUFactorSymbolic(C,row,col,&info,&A);
72: }
73: MatLUFactorNumeric(C,&A);
75: printf("factored matrix:\n");
76: PetscViewerPushFormat(PETSC_VIEWER_STDOUT_SELF,PETSC_VIEWER_ASCII_INFO);
77: MatView(A,PETSC_VIEWER_STDOUT_SELF);
78: PetscViewerPopFormat(PETSC_VIEWER_STDOUT_SELF);
79: MatView(A,PETSC_VIEWER_STDOUT_SELF);
80: MatView(A,viewer2);
82: /* Free data structures */
83: MatDestroy(C);
84: MatDestroy(A);
85: ISDestroy(row);
86: ISDestroy(col);
87: PetscViewerDestroy(viewer1);
88: PetscViewerDestroy(viewer2);
89: PetscFinalize();
90: return 0;
91: }