X-Git-Url: https://bilbo.iut-bm.univ-fcomte.fr/and/gitweb/GMRES2stage.git/blobdiff_plain/bc9c5a57e4b0b66714c6ac200b4aff7c26b38608..1ecb79e1234256ff879d1a787113c41fca16a7cc:/code/ex15.c diff --git a/code/ex15.c b/code/ex15.c index 0e0a8c4..7dc050b 100644 --- a/code/ex15.c +++ b/code/ex15.c @@ -1,5 +1,5 @@ -// /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 @@ -120,7 +120,7 @@ int KrylovMinimize(Mat A, Vec b, Vec x) { //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); @@ -146,11 +146,13 @@ int KrylovMinimize(Mat A, Vec b, Vec x) { - //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); @@ -232,7 +234,7 @@ int KrylovMinimizeLSQR(Mat A, Vec b, Vec x) { 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; + PetscInt giter=0, ColS=12, col=0, Emaxiter=50000000, iter=0, iterations=20, Iiter=0; PetscErrorCode ierr; PetscScalar T1, T2; KSP ksp; @@ -335,11 +337,14 @@ int KrylovMinimizeLSQR(Mat A, Vec b, Vec x) { + 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); @@ -419,14 +424,14 @@ int KrylovMinimizeLSQR(Mat A, Vec b, Vec x) { 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; @@ -630,7 +635,7 @@ int main(int argc,char **args) VecDuplicate(b,&x2); VecDuplicate(b,&sol); - KrylovMinimize(A, b, x2); + KrylovMinimizeLSQR(A, b, x2); @@ -641,7 +646,7 @@ int main(int argc,char **args) } - + /* Free work space. All PETSc objects should be destroyed when they