X-Git-Url: https://bilbo.iut-bm.univ-fcomte.fr/and/gitweb/GMRES2stage.git/blobdiff_plain/877ef102aef5b45478a81fe60764c56a50cbf5f3..5019b4b212ec23d6c70ce59e5389525c741d7629:/code/ex45.c

diff --git a/code/ex45.c b/code/ex45.c
index a44a2d0..dd3f3a6 100644
--- a/code/ex45.c
+++ b/code/ex45.c
@@ -44,7 +44,7 @@ int KrylovMinimize(Mat A, Vec b, Vec x) {
   //Variables
 
   PetscScalar  gamma, alpha, oldgamma, beta;
-  PetscReal norm=20, Eprecision=5e-5, cgprec=1e-40;     
+  PetscReal norm=20, Eprecision=1e-8, cgprec=1e-40;     
   PetscInt giter=0, ColS=12, col=0, Emaxiter=50000000, iter=0, iterations=15, Iiter=0;
   PetscErrorCode ierr;
   PetscScalar T1, T2;
@@ -108,7 +108,7 @@ 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);
 
 
@@ -134,11 +134,12 @@ 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);
@@ -219,7 +220,7 @@ int KrylovMinimizeLSQR(Mat A, Vec b, Vec x) {
   //Variables
 
   PetscScalar  alpha, beta;
-  PetscReal norm=20, Eprecision=5e-5, tol=1e-40;     
+  PetscReal norm=20, Eprecision=1e-8, tol=1e-40;     
   PetscInt giter=0, ColS=12, col=0, Emaxiter=50000000, iter=0, iterations=15, Iiter=0;
   PetscErrorCode ierr;
   PetscScalar T1, T2;
@@ -296,7 +297,7 @@ 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);
 
 
@@ -322,12 +323,14 @@ 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);
@@ -408,14 +411,6 @@ 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;
         MatMultTranspose(AS, u, vt); //vt=A'*u;
@@ -471,7 +466,7 @@ int main(int argc,char **argv)
   ierr = KSPSetFromOptions(ksp);CHKERRQ(ierr);
 
 
-  ierr = KSPSetTolerances(ksp, 1e-7, 1e-7, PETSC_DEFAULT, 50000000); CHKERRQ(ierr);
+  ierr = KSPSetTolerances(ksp, 1e-10, 1e-10, PETSC_DEFAULT, 50000000); CHKERRQ(ierr);
   T1 = MPI_Wtime();
   ierr = KSPSolve(ksp,NULL,NULL);CHKERRQ(ierr);
   T2 = MPI_Wtime();