Mat Object:
  type: mpicrl
  rows=36, cols=36
  total: nonzeros=156, allocated nonzeros=156
    not using I-node (on process 0) routines
Mat Object:
  type: seqaij
  rows=18, cols=18
  package used to perform factorization: petsc
  total: nonzeros=72, allocated nonzeros=72
    not using I-node routines
Mat Object:
  type: seqaij
  rows=18, cols=18
  package used to perform factorization: petsc
  total: nonzeros=72, allocated nonzeros=72
    not using I-node routines
  0 KSP Residual norm 104.813 
  1 KSP Residual norm 40.4428 
  2 KSP Residual norm 15.6387 
  3 KSP Residual norm 3.50016 
  4 KSP Residual norm 0.614837 
  5 KSP Residual norm 0.222981 
  6 KSP Residual norm 0.0543251 
  7 KSP Residual norm 0.0115868 
  8 KSP Residual norm 0.00298028 
  9 KSP Residual norm 0.00046493 
KSP Object:
  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:
  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_)
    type: preonly
    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_)
    type: ilu
      ILU: 0 levels of fill
      ILU: factor fill ratio allocated 1
      ILU: tolerance for zero pivot 1e-12
      ILU: using diagonal shift to prevent zero pivot [NONZERO]
      ILU: using diagonal shift on blocks to prevent zero pivot [INBLOCKS]
           out-of-place factorization
           matrix ordering: natural
      ILU: factor fill ratio needed 1
           Factored matrix follows
          Mat Object:
            type: seqaij
            rows=18, cols=18
            package used to perform factorization: petsc
            total: nonzeros=72, allocated nonzeros=72
              not using I-node routines
    linear system matrix = precond matrix:
    Mat Object:
      type: seqaij
      rows=18, cols=18
      total: nonzeros=72, allocated nonzeros=72
        not using I-node routines
  linear system matrix = precond matrix:
  Mat Object:
    type: mpicrl
    rows=36, cols=36
    total: nonzeros=156, allocated nonzeros=156
      not using I-node (on process 0) routines
Number of iterations =   9
Residual norm 0.001523
