Linear solve converged due to CONVERGED_RTOL iterations 4
KSP Object: 4 MPI processes
  type: hpddm
  HPDDM type: gmres
  precision: DOUBLE
  maximum iterations=10, initial guess is zero
  tolerances:  relative=0.001, absolute=1e-50, divergence=10000.
  left preconditioning
  using PRECONDITIONED norm type for convergence test
PC Object: 4 MPI processes
  type: hpddm
  levels: 2
  user-supplied deflation matrix
  coarse correction: DEFLATED
  on process #0, value (+ threshold if available) for selecting deflation vectors: 10
  grid and operator complexities: 1.02323 1.01854
  KSP Object: (pc_hpddm_levels_1_) 4 MPI processes
    type: preonly
    maximum iterations=10000, initial guess is zero
    tolerances:  relative=1e-05, absolute=1e-50, divergence=10000.
    left preconditioning
    using NONE norm type for convergence test
  PC Object: (pc_hpddm_levels_1_) 4 MPI processes
    type: shell
      no name
    linear system matrix = precond matrix:
    Mat Object: 4 MPI processes
      type: mpiaij
      total number of mallocs used during MatSetValues calls=0
  PC Object: (pc_hpddm_levels_1_) 4 MPI processes
    type: asm
      total subdomain blocks = 4, user-defined overlap
      restriction/interpolation type - RESTRICT
      Local solver information for first block is in the following KSP and PC objects on rank 0:
      Use -pc_hpddm_levels_1_ksp_view ::ascii_info_detail to display information for all blocks
    KSP Object: (pc_hpddm_levels_1_sub_) 1 MPI process
      type: preonly
      maximum iterations=10000, initial guess is zero
      tolerances:  relative=1e-05, absolute=1e-50, divergence=10000.
      left preconditioning
      using NONE norm type for convergence test
    PC Object: (pc_hpddm_levels_1_sub_) 1 MPI process
      type: lu
        out-of-place factorization
        tolerance for zero pivot 2.22045e-14
        matrix ordering: nd
          Factored matrix follows:
            Mat Object: (pc_hpddm_levels_1_sub_) 1 MPI process
              type: seqaij
              package used to perform factorization: petsc
      linear system matrix = precond matrix:
      Mat Object: (pc_hpddm_levels_1_sub_) 1 MPI process
        type: seqaij
        total number of mallocs used during MatSetValues calls=0
    linear system matrix = precond matrix:
    Mat Object: 4 MPI processes
      type: mpiaij
      total number of mallocs used during MatSetValues calls=0
    KSP Object: (pc_hpddm_coarse_) 1 MPI process
      type: preonly
      maximum iterations=10000, initial guess is zero
      tolerances:  relative=1e-05, absolute=1e-50, divergence=10000.
      left preconditioning
      using NONE norm type for convergence test
    PC Object: (pc_hpddm_coarse_) 1 MPI process
      type: cholesky
        out-of-place factorization
        tolerance for zero pivot 2.22045e-14
        matrix ordering: natural
          Factored matrix follows:
            Mat Object: (pc_hpddm_coarse_) 1 MPI process
              type: seqsbaij
              package used to perform factorization: petsc
                  block size is 10
      linear system matrix = precond matrix:
      Mat Object: (pc_hpddm_coarse_) 1 MPI process
        type: seqsbaij
        total number of mallocs used during MatSetValues calls=0
            block size is 10
  linear system matrix = precond matrix:
  Mat Object: 4 MPI processes
    type: mpiaij
    total number of mallocs used during MatSetValues calls=0
