  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
    restart=30, using Classical (unmodified) Gram-Schmidt Orthogonalization with no iterative refinement
    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
    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
      restart=30, using Classical (unmodified) Gram-Schmidt Orthogonalization with no iterative refinement
      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
