Matrix 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
    GMRES: restart=30, using Modified Gram-Schmidt Orthogonalization
    GMRES: 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
    Block Jacobi: number of blocks = 4
    Local solve is same for all blocks, in the following KSP and PC objects:
KSP Object:
  type: preonly
  maximum iterations=10000
  tolerances:  relative=1e-05, absolute=1e-50, divergence=10000
  left preconditioning
PC Object:
  type: ilu
    ILU: 0 levels of fill
         out-of-place factorization
         matrix ordering: natural
  linear system matrix = precond matrix:
Matrix Object:
  type=seqaij, rows=30, cols=30
  total: nonzeros=111, allocated nonzeros=111
  linear system matrix = precond matrix:
Matrix Object:
  type=mpiaij, rows=110, cols=110
  total: nonzeros=434, allocated nonzeros=434
Norm of RHS difference=1.31566e-06, Iterations=25
