1c4762a1bSJed Brown 2c4762a1bSJed Brown static char help[] = "Tests matrix factorization. Note that most users should\n\ 3c4762a1bSJed Brown employ the KSP interface to the linear solvers instead of using the factorization\n\ 4c4762a1bSJed Brown routines directly.\n\n"; 5c4762a1bSJed Brown 6c4762a1bSJed Brown #include <petscmat.h> 7c4762a1bSJed Brown 8c4762a1bSJed Brown int main(int argc,char **args) 9c4762a1bSJed Brown { 10c4762a1bSJed Brown Mat C,LU; 11c4762a1bSJed Brown MatInfo info; 12*1a6d72e3SSatish Balay PetscInt i,j,m,n,Ii,J; 13c4762a1bSJed Brown PetscErrorCode ierr; 14c4762a1bSJed Brown PetscScalar v,one = 1.0; 15c4762a1bSJed Brown IS perm,iperm; 16c4762a1bSJed Brown Vec x,u,b; 17*1a6d72e3SSatish Balay PetscReal norm,fill; 18c4762a1bSJed Brown MatFactorInfo luinfo; 19c4762a1bSJed Brown 20c4762a1bSJed Brown ierr = PetscInitialize(&argc,&args,(char*)0,help);if (ierr) return ierr; 21*1a6d72e3SSatish Balay 22*1a6d72e3SSatish Balay ierr = PetscOptionsBegin(PETSC_COMM_WORLD,NULL,"Mat test ex7 options","Mat");CHKERRQ(ierr); 23*1a6d72e3SSatish Balay m = 3; n = 3; fill = 2.0; 24*1a6d72e3SSatish Balay ierr = PetscOptionsInt("-m","Number of rows in grid",NULL,m,&m,NULL);CHKERRQ(ierr); 25*1a6d72e3SSatish Balay ierr = PetscOptionsInt("-n","Number of columns in grid",NULL,n,&n,NULL);CHKERRQ(ierr); 26*1a6d72e3SSatish Balay ierr = PetscOptionsReal("-fill","Expected fill ratio for factorization",NULL,fill,&fill,NULL);CHKERRQ(ierr); 27*1a6d72e3SSatish Balay 28*1a6d72e3SSatish Balay ierr = PetscOptionsEnd();CHKERRQ(ierr); 29*1a6d72e3SSatish Balay 30c4762a1bSJed Brown /* Create the matrix for the five point stencil, YET AGAIN */ 31c4762a1bSJed Brown ierr = MatCreate(PETSC_COMM_SELF,&C);CHKERRQ(ierr); 32c4762a1bSJed Brown ierr = MatSetSizes(C,PETSC_DECIDE,PETSC_DECIDE,m*n,m*n);CHKERRQ(ierr); 33c4762a1bSJed Brown ierr = MatSetFromOptions(C);CHKERRQ(ierr); 34c4762a1bSJed Brown ierr = MatSetUp(C);CHKERRQ(ierr); 35c4762a1bSJed Brown for (i=0; i<m; i++) { 36c4762a1bSJed Brown for (j=0; j<n; j++) { 37c4762a1bSJed Brown v = -1.0; Ii = j + n*i; 38c4762a1bSJed Brown if (i>0) {J = Ii - n; ierr = MatSetValues(C,1,&Ii,1,&J,&v,INSERT_VALUES);CHKERRQ(ierr);} 39c4762a1bSJed Brown if (i<m-1) {J = Ii + n; ierr = MatSetValues(C,1,&Ii,1,&J,&v,INSERT_VALUES);CHKERRQ(ierr);} 40c4762a1bSJed Brown if (j>0) {J = Ii - 1; ierr = MatSetValues(C,1,&Ii,1,&J,&v,INSERT_VALUES);CHKERRQ(ierr);} 41c4762a1bSJed Brown if (j<n-1) {J = Ii + 1; ierr = MatSetValues(C,1,&Ii,1,&J,&v,INSERT_VALUES);CHKERRQ(ierr);} 42c4762a1bSJed Brown v = 4.0; ierr = MatSetValues(C,1,&Ii,1,&Ii,&v,INSERT_VALUES);CHKERRQ(ierr); 43c4762a1bSJed Brown } 44c4762a1bSJed Brown } 45c4762a1bSJed Brown ierr = MatAssemblyBegin(C,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); 46c4762a1bSJed Brown ierr = MatAssemblyEnd(C,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); 47c4762a1bSJed Brown ierr = MatGetOrdering(C,MATORDERINGRCM,&perm,&iperm);CHKERRQ(ierr); 48c4762a1bSJed Brown ierr = MatView(C,PETSC_VIEWER_STDOUT_WORLD);CHKERRQ(ierr); 49c4762a1bSJed Brown ierr = ISView(perm,PETSC_VIEWER_STDOUT_SELF);CHKERRQ(ierr); 50c4762a1bSJed Brown 51c4762a1bSJed Brown ierr = MatFactorInfoInitialize(&luinfo);CHKERRQ(ierr); 52c4762a1bSJed Brown 53*1a6d72e3SSatish Balay luinfo.fill = fill; 54c4762a1bSJed Brown luinfo.dtcol = 0.0; 55c4762a1bSJed Brown luinfo.zeropivot = 1.e-14; 56c4762a1bSJed Brown luinfo.pivotinblocks = 1.0; 57c4762a1bSJed Brown 58c4762a1bSJed Brown ierr = MatGetFactor(C,MATSOLVERPETSC,MAT_FACTOR_LU,&LU);CHKERRQ(ierr); 59c4762a1bSJed Brown ierr = MatLUFactorSymbolic(LU,C,perm,iperm,&luinfo);CHKERRQ(ierr); 60c4762a1bSJed Brown ierr = MatLUFactorNumeric(LU,C,&luinfo);CHKERRQ(ierr); 61c4762a1bSJed Brown 62c4762a1bSJed Brown ierr = VecCreateSeq(PETSC_COMM_SELF,m*n,&u);CHKERRQ(ierr); 63c4762a1bSJed Brown ierr = VecSet(u,one);CHKERRQ(ierr); 64c4762a1bSJed Brown ierr = VecDuplicate(u,&x);CHKERRQ(ierr); 65c4762a1bSJed Brown ierr = VecDuplicate(u,&b);CHKERRQ(ierr); 66c4762a1bSJed Brown 67c4762a1bSJed Brown ierr = MatMult(C,u,b);CHKERRQ(ierr); 68c4762a1bSJed Brown ierr = MatSolve(LU,b,x);CHKERRQ(ierr); 69c4762a1bSJed Brown 70c4762a1bSJed Brown ierr = VecView(b,PETSC_VIEWER_STDOUT_SELF);CHKERRQ(ierr); 71c4762a1bSJed Brown ierr = VecView(x,PETSC_VIEWER_STDOUT_SELF);CHKERRQ(ierr); 72c4762a1bSJed Brown 73c4762a1bSJed Brown ierr = VecAXPY(x,-1.0,u);CHKERRQ(ierr); 74c4762a1bSJed Brown ierr = VecNorm(x,NORM_2,&norm);CHKERRQ(ierr); 75c4762a1bSJed Brown ierr = PetscPrintf(PETSC_COMM_SELF,"Norm of error %g\n",(double)norm);CHKERRQ(ierr); 76c4762a1bSJed Brown 77c4762a1bSJed Brown ierr = MatGetInfo(C,MAT_LOCAL,&info);CHKERRQ(ierr); 78c4762a1bSJed Brown ierr = PetscPrintf(PETSC_COMM_SELF,"original matrix nonzeros = %D\n",(PetscInt)info.nz_used);CHKERRQ(ierr); 79c4762a1bSJed Brown ierr = MatGetInfo(LU,MAT_LOCAL,&info);CHKERRQ(ierr); 80c4762a1bSJed Brown ierr = PetscPrintf(PETSC_COMM_SELF,"factored matrix nonzeros = %D\n",(PetscInt)info.nz_used);CHKERRQ(ierr); 81c4762a1bSJed Brown 82c4762a1bSJed Brown ierr = VecDestroy(&u);CHKERRQ(ierr); 83c4762a1bSJed Brown ierr = VecDestroy(&b);CHKERRQ(ierr); 84c4762a1bSJed Brown ierr = VecDestroy(&x);CHKERRQ(ierr); 85c4762a1bSJed Brown ierr = ISDestroy(&perm);CHKERRQ(ierr); 86c4762a1bSJed Brown ierr = ISDestroy(&iperm);CHKERRQ(ierr); 87c4762a1bSJed Brown ierr = MatDestroy(&C);CHKERRQ(ierr); 88c4762a1bSJed Brown ierr = MatDestroy(&LU);CHKERRQ(ierr); 89c4762a1bSJed Brown 90c4762a1bSJed Brown ierr = PetscFinalize(); 91c4762a1bSJed Brown return ierr; 92c4762a1bSJed Brown } 93c4762a1bSJed Brown 94c4762a1bSJed Brown 95c4762a1bSJed Brown /*TEST 96c4762a1bSJed Brown 97c4762a1bSJed Brown test: 98*1a6d72e3SSatish Balay suffix: 1 99*1a6d72e3SSatish Balay filter: grep -v "MPI processes" 100*1a6d72e3SSatish Balay 101*1a6d72e3SSatish Balay test: 102*1a6d72e3SSatish Balay suffix: 2 103*1a6d72e3SSatish Balay args: -m 1 -n 1 -fill 0.49 104c4762a1bSJed Brown filter: grep -v "MPI processes" 105c4762a1bSJed Brown 106c4762a1bSJed Brown TEST*/ 107