X-Git-Url: https://bilbo.iut-bm.univ-fcomte.fr/and/gitweb/GMRES2stage.git/blobdiff_plain/bc9c5a57e4b0b66714c6ac200b4aff7c26b38608..928901c5a41a83e85eff69fe0869d4653bf1079e:/code/ex29.c

diff --git a/code/ex29.c b/code/ex29.c
index 5e21c65..f647a9b 100644
--- a/code/ex29.c
+++ b/code/ex29.c
@@ -1,6 +1,7 @@
 
 
-//  /home/couturie/work/petsc-3.5.1/arch-linux2-c-debug/bin/mpirun -np 3 ex29 -da_grid_x 900 -da_grid_y 900
+//  /home/couturie/work/petsc-3.5.1/arch-linux2-c-debug/bin/mpirun -np 3 ex29 -da_grid_x 600 -da_grid_y 600 -ksp_type fgmres -bc_type neumann
+
 
 
 
@@ -64,7 +65,7 @@ int KrylovMinimize(Mat A, Vec b, Vec x) {
   //Variables
 
   PetscScalar  gamma, alpha, oldgamma, beta;
-  PetscReal norm=20, Eprecision=1e-5, 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;
@@ -128,7 +129,7 @@ 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);
 
 
@@ -154,11 +155,13 @@ 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);
@@ -239,8 +242,8 @@ int KrylovMinimizeLSQR(Mat A, Vec b, Vec x) {
   //Variables
 
   PetscScalar  alpha, beta;
-  PetscReal norm=20, Eprecision=1e-5, 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;
@@ -316,7 +319,7 @@ int KrylovMinimizeLSQR(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);
 
 
@@ -342,12 +345,14 @@ int KrylovMinimizeLSQR(Mat A, Vec b, Vec x) {
       VecRestoreArray(x, &array);
 
 
-
+      
+      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);
@@ -428,13 +433,6 @@ int KrylovMinimizeLSQR(Mat A, Vec b, Vec x) {
         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;
@@ -504,7 +502,7 @@ int main(int argc,char **argv)
   ierr = KSPSetFromOptions(ksp);CHKERRQ(ierr);
   ierr = KSPSetUp(ksp);CHKERRQ(ierr);
 
-  ierr = KSPSetTolerances(ksp, 1e-5, 1e-5, PETSC_DEFAULT, 50000000); CHKERRQ(ierr);
+  ierr = KSPSetTolerances(ksp, 1e-6, 1e-6, PETSC_DEFAULT, 50000000); CHKERRQ(ierr);
   T1 = MPI_Wtime();
   ierr = KSPSolve(ksp,NULL,NULL);CHKERRQ(ierr);
   T2 = MPI_Wtime();