grid spacing: h_eta = 0.166667, h_xi = 0.261799
[0] changing submatrix 1 of 4 local submatrices: dimension 13 X 13
[0] changing submatrix 2 of 4 local submatrices: dimension 12 X 12
[0] changing submatrix 3 of 4 local submatrices: dimension 12 X 12
[0] changing submatrix 4 of 4 local submatrices: dimension 12 X 12
  0 KSP Residual norm 2.92864 
  1 KSP Residual norm 2.70021 
  2 KSP Residual norm 2.5544 
  3 KSP Residual norm 2.44777 
  4 KSP Residual norm 1.59605 
  5 KSP Residual norm 1.56524 
  6 KSP Residual norm 1.56481 
  7 KSP Residual norm 1.01215 
  8 KSP Residual norm 0.904992 
  9 KSP Residual norm 0.900939 
 10 KSP Residual norm 0.684604 
 11 KSP Residual norm 0.177294 
 12 KSP Residual norm 0.0346873 
 13 KSP Residual norm 0.00335827 
 14 KSP Residual norm 0.000500936 
 15 KSP Residual norm 0.000391901 
 16 KSP Residual norm 4.18941e-05 
 17 KSP Residual norm 7.12812e-06 
 18 KSP Residual norm 1.67038e-06 
 19 KSP Residual norm 8.54177e-07 
 20 KSP Residual norm 8.85998e-08 
 21 KSP Residual norm 4.95576e-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=13, cols=13
  total: nonzeros=32, allocated nonzeros=34
  linear system matrix = precond matrix:
Matrix Object:
  type=seqaij, rows=49, cols=49
  total: nonzeros=172, allocated nonzeros=172
Norm of RHS difference=2.37549e-06, Iterations=21
