-// /home/couturie/work/petsc-3.5.1/arch-linux2-c-debug/bin/mpirun -np 4 ./ex15 -m 400 -n 400
+// /home/couturie/work/petsc-3.5.1/arch-linux2-c-debug/bin/mpirun -np 4 ./ex15 -m 400 -n 400 -ksp_type fgmres
//Variables
PetscScalar gamma, alpha, oldgamma, beta;
- PetscReal norm=20, Eprecision=1e-8, cgprec=1e-40;
+ PetscReal norm=20, Eprecision=1e-6, cgprec=1e-40;
PetscInt giter=0, ColS=12, col=0, Emaxiter=50000000, iter=0, iterations=15, Iiter=0;
PetscErrorCode ierr;
PetscScalar T1, T2;
//Initializations
// ierr = KSPGMRESSetRestart(ksp, 16); CHKERRQ(ierr);
- ierr = KSPSetTolerances(ksp, 1e-10, 1e-10, PETSC_DEFAULT, 16); CHKERRQ(ierr);
+ ierr = KSPSetTolerances(ksp, 1e-13, 1e-13, PETSC_DEFAULT, 16); CHKERRQ(ierr);
ierr = KSPSetInitialGuessNonzero(ksp, PETSC_TRUE); CHKERRQ(ierr);
- //Error
+ KSPGetResidualNorm(ksp,&norm);
+
+ /* //Error
ierr = VecCopy(x, residu); CHKERRQ(ierr);
ierr = VecAXPY(residu, -1, x_old); CHKERRQ(ierr);
ierr = VecNorm(residu, NORM_INFINITY, &norm); CHKERRQ(ierr);
-
+ */
ierr = PetscPrintf(PETSC_COMM_WORLD, "Norm of error %g, outer iteration %D\n", norm, giter); CHKERRQ(ierr);
//Variables
PetscScalar alpha, beta;
- PetscReal norm=20, Eprecision=1e-8, tol=1e-40;
- PetscInt giter=0, ColS=12, col=0, Emaxiter=50000000, iter=0, iterations=15, Iiter=0;
+ PetscReal norm=20, Eprecision=1e-6, tol=1e-40;
+ PetscInt giter=0, ColS=12, col=0, Emaxiter=50000000, iter=0, iterations=20, Iiter=0;
PetscErrorCode ierr;
PetscScalar T1, T2;
KSP ksp;
//Initializations
// ierr = KSPGMRESSetRestart(ksp, 16); CHKERRQ(ierr);
- ierr = KSPSetTolerances(ksp, 1e-10, 1e-10, PETSC_DEFAULT, 16); CHKERRQ(ierr);
+ ierr = KSPSetTolerances(ksp, 1e-13, 1e-13, PETSC_DEFAULT, 16); CHKERRQ(ierr);
ierr = KSPSetInitialGuessNonzero(ksp, PETSC_TRUE); CHKERRQ(ierr);
+ KSPGetResidualNorm(ksp,&norm);
+
+ /*
//Error
ierr = VecCopy(x, residu); CHKERRQ(ierr);
ierr = VecAXPY(residu, -1, x_old); CHKERRQ(ierr);
ierr = VecNorm(residu, NORM_INFINITY, &norm); CHKERRQ(ierr);
-
+ */
ierr = PetscPrintf(PETSC_COMM_WORLD, "Norm of error %g, outer iteration %D\n", norm, giter); CHKERRQ(ierr);
VecAYPX(d,-thet,v); //d = (v - thet * d);
VecAYPX(d,1/rho,zero_short); //d=d/ rho;
-
+ /*
if (normar/(norma*normr) <= tol) { // check for convergence in min{|b-A*x|}
break;
}
if (normr <= tolb) { // check for convergence in A*x=b
break;
}
-
+ */
VecAXPY(x_lsqr,phi,d); // x_lsqr=x_lsqr+phi*d
normr = abs(s) * normr;
ierr = PetscOptionsGetInt(NULL,"-m",&m,NULL);CHKERRQ(ierr);
ierr = PetscOptionsGetInt(NULL,"-n",&n,NULL);CHKERRQ(ierr);
+ PetscMPIInt size;
+ MPI_Comm_size(PETSC_COMM_WORLD,&size);
+ PetscPrintf(PETSC_COMM_WORLD,"Number of processors = %d\n",size);
+
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Compute the matrix and right-hand-side vector that define
the linear system, Ax = b.
to set various options.
*/
ierr = KSPGetPC(ksp,&pc);CHKERRQ(ierr);
- ierr = KSPSetTolerances(ksp,1e-9,1e-9,PETSC_DEFAULT,5000000);CHKERRQ(ierr);
+ ierr = KSPSetTolerances(ksp,1e-7,1e-7,PETSC_DEFAULT,5000000);CHKERRQ(ierr);
/*
Set runtime options, e.g.,
VecDuplicate(b,&x2);
VecDuplicate(b,&sol);
- KrylovMinimize(A, b, x2);
+ KrylovMinimizeLSQR(A, b, x2);
}
-
+
/*
Free work space. All PETSc objects should be destroyed when they