Mat Object:
  type: mpiaij
  rows=110, cols=110
  total: nonzeros=434, allocated nonzeros=434
  0 KSP Residual norm 2.06585
  1 KSP Residual norm 0.449121
  2 KSP Residual norm 0.347613
  3 KSP Residual norm 0.328636
  4 KSP Residual norm 0.28997
  5 KSP Residual norm 0.21452
  6 KSP Residual norm 0.149
  7 KSP Residual norm 0.111732
  8 KSP Residual norm 0.103296
  9 KSP Residual norm 0.102195
 10 KSP Residual norm 0.0763708
 11 KSP Residual norm 0.0304652
 12 KSP Residual norm 0.0118337
 13 KSP Residual norm 0.00555947
 14 KSP Residual norm 0.00265734
 15 KSP Residual norm 0.00123329
 16 KSP Residual norm 0.000494685
 17 KSP Residual norm 0.000183703
 18 KSP Residual norm 6.45078e-05
 19 KSP Residual norm 1.82215e-05
 20 KSP Residual norm 4.98715e-06
 21 KSP Residual norm 1.30623e-06
 22 KSP Residual norm 3.76668e-07
 23 KSP Residual norm 1.00542e-07
 24 KSP Residual norm 2.48681e-08
 25 KSP Residual norm 6.43512e-09
KSP Object:
  type: gmres
    restart=30, using modified Gram-Schmidt orthogonalization
    happy breakdown tolerance=1e-30
  maximum iterations=10000, initial guess is zero
  tolerances: relative=1e-08, absolute=1e-50, divergence=10000.
  left preconditioning
PC Object:
  type: bjacobi
    number of blocks = 4
    Local solver information for first block is in the following KSP and PC objects on rank 0:
    Use -ksp_view ::ascii_info_detail to display information for all blocks
KSP Object:
  type: preonly
  maximum iterations=10000
  tolerances: relative=1e-05, absolute=1e-50, divergence=10000.
  left preconditioning
PC Object:
  type: ilu
    0 levels of fill
         out-of-place factorization
         matrix ordering: natural
  linear system matrix, which is also used to construct the preconditioner:
Mat Object:
  type: seqaij
  rows=30, cols=30
  total: nonzeros=111, allocated nonzeros=111
  linear system matrix, which is also used to construct the preconditioner:
Mat Object:
  type: mpiaij
  rows=110, cols=110
  total: nonzeros=434, allocated nonzeros=434
Norm of RHS difference=1.31566e-06, Iterations=25
