v1-20-08-2014

[GMRES2stage.git] / code / ex15.c

diff --git a/code/ex15.c b/code/ex15.c
index 94c93659b6acb2e0ca63c874f44ed14e79f649c4..1fffcbef221d4c25a4fda97db485ed21abf33781 100644 (file)
--- a/code/ex15.c
+++ b/code/ex15.c
@@ -56,7 +56,7 @@ int KrylovMinimize(Mat A, Vec b, Vec x) {
   //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;
@@ -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);
@@ -231,7 +233,7 @@ int KrylovMinimizeLSQR(Mat A, Vec b, Vec x) {
   //Variables
 
   PetscScalar  alpha, beta;
-  PetscReal norm=20, Eprecision=1e-8, tol=1e-40;     
+  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;
@@ -308,7 +310,7 @@ 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);
 
 
@@ -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);
@@ -475,6 +480,10 @@ int main(int argc,char **args)
   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.
@@ -563,7 +572,7 @@ int main(int argc,char **args)
        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.,
@@ -641,7 +650,7 @@ int main(int argc,char **args)
 
   }
 
-
+  
 
   /*
      Free work space.  All PETSc objects should be destroyed when they