Residual norms for elas_ solve.
  0 KSP Residual norm 1.86112
  1 KSP Residual norm 0.0374733
  2 KSP Residual norm 0.0348124
  3 KSP Residual norm 0.0335684
  4 KSP Residual norm 0.0329643
  5 KSP Residual norm 0.0310698
  6 KSP Residual norm 0.0144307
  7 KSP Residual norm 0.00933562
  8 KSP Residual norm 0.00894835
KSP Object: (elas_) 1 MPI process
  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=0.005, absolute=1e-50, divergence=10000.
  left preconditioning
  using PRECONDITIONED norm type for convergence test
PC Object: (elas_) 1 MPI process
  type: ilu
    out-of-place factorization
    0 levels of fill
    tolerance for zero pivot 2.22045e-14
    matrix ordering: natural
    factor fill ratio given 1., needed 1.
      Factored matrix:
        Mat Object: (elas_) 1 MPI process
          type: seqaij
          rows=1178, cols=1178, bs=2
          package used to perform factorization: petsc
          total: nonzeros=20020, allocated nonzeros=20020
            using I-node routines: found 589 nodes, limit used is 5
  linear system matrix, which is also used to construct the preconditioner:
  Mat Object: 1 MPI process
    type: seqaij
    rows=1178, cols=1178, bs=2
    total: nonzeros=20020, allocated nonzeros=20020
    total number of mallocs used during MatSetValues calls=0
      has attached near null space
      using I-node routines: found 589 nodes, limit used is 5