  0 KSP Residual norm 5.18566 
  1 KSP Residual norm 0.882327 
  2 KSP Residual norm 0.232433 
  3 KSP Residual norm 0.0193881 
  4 KSP Residual norm 0.000403063 
KSP Object: 4 MPI processes
  type: gmres
    GMRES: restart=30, using Classical (unmodified) Gram-Schmidt Orthogonalization with no iterative refinement
    GMRES: happy breakdown tolerance 1e-30
  maximum iterations=10000, initial guess is zero
  tolerances:  relative=0.000138889, absolute=1e-50, divergence=10000.
  left preconditioning
  using PRECONDITIONED norm type for convergence test
PC Object: 4 MPI processes
  type: bjacobi
    block Jacobi: number of blocks = 2
    Local solve is same for all blocks, in the following KSP and PC objects:
KSP Object:(sub_) 2 MPI processes
  type: gmres
    GMRES: restart=30, using Classical (unmodified) Gram-Schmidt Orthogonalization with no iterative refinement
    GMRES: happy breakdown tolerance 1e-30
  maximum iterations=10000, initial guess is zero
  tolerances:  relative=1e-05, absolute=1e-50, divergence=10000.
  left preconditioning
  using PRECONDITIONED norm type for convergence test
PC Object:(sub_) 2 MPI processes
  type: jacobi
  linear system matrix = precond matrix:
  Mat Object:   2 MPI processes  
    type: mpiaij
    rows=28, cols=28
    total: nonzeros=118, allocated nonzeros=154
    total number of mallocs used during MatSetValues calls =0
      not using I-node (on process 0) routines
  linear system matrix = precond matrix:
  Mat Object:   4 MPI processes  
    type: mpiaij
    rows=56, cols=56
    total: nonzeros=250, allocated nonzeros=560
    total number of mallocs used during MatSetValues calls =0
      not using I-node (on process 0) routines
Norm of error 0.000496964 iterations 4
