1 static char help[] = "Test file for the PCFactorSetShiftType()\n"; 2 /* 3 * Test file for the PCFactorSetShiftType() routine or -pc_factor_shift_type POSITIVE_DEFINITE option. 4 * The test matrix is the example from Kershaw's paper [J.Comp.Phys 1978] 5 * of a positive definite matrix for which ILU(0) will give a negative pivot. 6 * This means that the CG method will break down; the Manteuffel shift 7 * [Math. Comp. 1980] repairs this. 8 * 9 * Run the executable twice: 10 * 1/ without options: the iterative method diverges because of an 11 * indefinite preconditioner 12 * 2/ with -pc_factor_shift_type POSITIVE_DEFINITE option (or comment in the PCFactorSetShiftType() line below): 13 * the method will now successfully converge. 14 * 15 * Contributed by Victor Eijkhout 2003. 16 */ 17 18 #include <petscksp.h> 19 20 int main(int argc,char **argv) 21 { 22 KSP solver; 23 PC prec; 24 Mat A,M; 25 Vec X,B,D; 26 MPI_Comm comm; 27 PetscScalar v; 28 KSPConvergedReason reason; 29 PetscInt i,j,its; 30 PetscErrorCode ierr; 31 32 ierr = PetscInitialize(&argc,&argv,0,help);if (ierr) return ierr; 33 comm = MPI_COMM_SELF; 34 35 /* 36 * Construct the Kershaw matrix 37 * and a suitable rhs / initial guess 38 */ 39 CHKERRQ(MatCreateSeqAIJ(comm,4,4,4,0,&A)); 40 CHKERRQ(VecCreateSeq(comm,4,&B)); 41 CHKERRQ(VecDuplicate(B,&X)); 42 for (i=0; i<4; i++) { 43 v = 3; 44 CHKERRQ(MatSetValues(A,1,&i,1,&i,&v,INSERT_VALUES)); 45 v = 1; 46 CHKERRQ(VecSetValues(B,1,&i,&v,INSERT_VALUES)); 47 CHKERRQ(VecSetValues(X,1,&i,&v,INSERT_VALUES)); 48 } 49 50 i=0; v=0; 51 CHKERRQ(VecSetValues(X,1,&i,&v,INSERT_VALUES)); 52 53 for (i=0; i<3; i++) { 54 v = -2; j=i+1; 55 CHKERRQ(MatSetValues(A,1,&i,1,&j,&v,INSERT_VALUES)); 56 CHKERRQ(MatSetValues(A,1,&j,1,&i,&v,INSERT_VALUES)); 57 } 58 i=0; j=3; v=2; 59 60 CHKERRQ(MatSetValues(A,1,&i,1,&j,&v,INSERT_VALUES)); 61 CHKERRQ(MatSetValues(A,1,&j,1,&i,&v,INSERT_VALUES)); 62 CHKERRQ(MatAssemblyBegin(A,MAT_FINAL_ASSEMBLY)); 63 CHKERRQ(MatAssemblyEnd(A,MAT_FINAL_ASSEMBLY)); 64 CHKERRQ(VecAssemblyBegin(B)); 65 CHKERRQ(VecAssemblyEnd(B)); 66 67 /* 68 * A Conjugate Gradient method 69 * with ILU(0) preconditioning 70 */ 71 CHKERRQ(KSPCreate(comm,&solver)); 72 CHKERRQ(KSPSetOperators(solver,A,A)); 73 74 CHKERRQ(KSPSetType(solver,KSPCG)); 75 CHKERRQ(KSPSetInitialGuessNonzero(solver,PETSC_TRUE)); 76 77 /* 78 * ILU preconditioner; 79 * this will break down unless you add the Shift line, 80 * or use the -pc_factor_shift_positive_definite option */ 81 CHKERRQ(KSPGetPC(solver,&prec)); 82 CHKERRQ(PCSetType(prec,PCILU)); 83 /* CHKERRQ(PCFactorSetShiftType(prec,MAT_SHIFT_POSITIVE_DEFINITE)); */ 84 85 CHKERRQ(KSPSetFromOptions(solver)); 86 CHKERRQ(KSPSetUp(solver)); 87 88 /* 89 * Now that the factorisation is done, show the pivots; 90 * note that the last one is negative. This in itself is not an error, 91 * but it will make the iterative method diverge. 92 */ 93 CHKERRQ(PCFactorGetMatrix(prec,&M)); 94 CHKERRQ(VecDuplicate(B,&D)); 95 CHKERRQ(MatGetDiagonal(M,D)); 96 97 /* 98 * Solve the system; 99 * without the shift this will diverge with 100 * an indefinite preconditioner 101 */ 102 CHKERRQ(KSPSolve(solver,B,X)); 103 CHKERRQ(KSPGetConvergedReason(solver,&reason)); 104 if (reason==KSP_DIVERGED_INDEFINITE_PC) { 105 CHKERRQ(PetscPrintf(PETSC_COMM_WORLD,"\nDivergence because of indefinite preconditioner;\n")); 106 CHKERRQ(PetscPrintf(PETSC_COMM_WORLD,"Run the executable again but with '-pc_factor_shift_type POSITIVE_DEFINITE' option.\n")); 107 } else if (reason<0) { 108 CHKERRQ(PetscPrintf(PETSC_COMM_WORLD,"\nOther kind of divergence: this should not happen.\n")); 109 } else { 110 CHKERRQ(KSPGetIterationNumber(solver,&its)); 111 } 112 113 CHKERRQ(VecDestroy(&X)); 114 CHKERRQ(VecDestroy(&B)); 115 CHKERRQ(VecDestroy(&D)); 116 CHKERRQ(MatDestroy(&A)); 117 CHKERRQ(KSPDestroy(&solver)); 118 ierr = PetscFinalize(); 119 return ierr; 120 } 121 122 /*TEST 123 124 test: 125 args: -pc_factor_shift_type positive_definite 126 127 TEST*/ 128