  0 KSP Residual norm 771.581 
  1 KSP Residual norm 204.713 
  2 KSP Residual norm 67.8428 
  3 KSP Residual norm 41.097 
  4 KSP Residual norm 14.5668 
  5 KSP Residual norm 7.48788 
  6 KSP Residual norm 3.66204 
  7 KSP Residual norm 2.16796 
  8 KSP Residual norm 1.05835 
  9 KSP Residual norm 0.604758 
 10 KSP Residual norm 0.312526 
 11 KSP Residual norm 0.129728 
 12 KSP Residual norm 0.0410246 
 13 KSP Residual norm 0.017092 
 14 KSP Residual norm 0.0100192 
 15 KSP Residual norm 0.00529383 
Linear solve converged due to CONVERGED_RTOL iterations 15
KSP Object: 8 MPI processes
  type: cg
  maximum iterations=10000, initial guess is zero
  tolerances:  relative=1e-05, absolute=1e-50, divergence=10000.
  left preconditioning
  using PRECONDITIONED norm type for convergence test
PC Object: 8 MPI processes
  type: gamg
    type is MULTIPLICATIVE, levels=2 cycles=v
      Cycles per PCApply=1
      Using externally compute Galerkin coarse grid matrices
      GAMG specific options
        Threshold for dropping small values in graph on each level =   -0.01   -0.01  
        Threshold scaling factor for each level not specified = 1.
        Using parallel coarse grid solver (all coarse grid equations not put on one process)
        AGG specific options
          Number of levels to square graph 1
          Number smoothing steps 1
        Complexity:    grid = 1.036    operator = 1.03899
  Coarse grid solver -- level 0 -------------------------------
    KSP Object: (mg_coarse_) 8 MPI processes
      type: cg
      maximum iterations=10000, initial guess is zero
      tolerances:  relative=1e-05, absolute=1e-50, divergence=10000.
      left preconditioning
      using PRECONDITIONED norm type for convergence test
    PC Object: (mg_coarse_) 8 MPI processes
      type: jacobi
        type DIAGONAL
      linear system matrix = precond matrix:
      Mat Object: 8 MPI processes
        type: mpiaij
        rows=108, cols=108, bs=6
        total: nonzeros=7704, allocated nonzeros=7704
        total number of mallocs used during MatSetValues calls=0
          using I-node (on process 0) routines: found 6 nodes, limit used is 5
  Down solver (pre-smoother) on level 1 -------------------------------
    KSP Object: (mg_levels_1_) 8 MPI processes
      type: chebyshev
        Chebyshev polynomial of first kind
        eigenvalue targets used: min 0.637067, max 3.3446
        eigenvalues provided (min 0.0597913, max 3.18533) with transform: [0. 0.2; 0. 1.05]
      maximum iterations=2, nonzero initial guess
      tolerances:  relative=1e-05, absolute=1e-50, divergence=10000.
      left preconditioning
      using NONE norm type for convergence test
    PC Object: (mg_levels_1_) 8 MPI processes
      type: jacobi
        type DIAGONAL
      linear system matrix = precond matrix:
      Mat Object: 8 MPI processes
        type: mpiaij
        rows=3000, cols=3000, bs=3
        total: nonzeros=197568, allocated nonzeros=243000
        total number of mallocs used during MatSetValues calls=0
          has attached near null space
          using I-node (on process 0) routines: found 125 nodes, limit used is 5
  Up solver (post-smoother) same as down solver (pre-smoother)
  linear system matrix = precond matrix:
  Mat Object: 8 MPI processes
    type: mpiaij
    rows=3000, cols=3000, bs=3
    total: nonzeros=197568, allocated nonzeros=243000
    total number of mallocs used during MatSetValues calls=0
      has attached near null space
      using I-node (on process 0) routines: found 125 nodes, limit used is 5
  0 KSP Residual norm 0.00771581 
  1 KSP Residual norm 0.00204713 
  2 KSP Residual norm 0.000678428 
  3 KSP Residual norm 0.00041097 
  4 KSP Residual norm 0.000145668 
  5 KSP Residual norm 7.48788e-05 
  6 KSP Residual norm 3.66204e-05 
  7 KSP Residual norm 2.16796e-05 
  8 KSP Residual norm 1.05835e-05 
  9 KSP Residual norm 6.04758e-06 
 10 KSP Residual norm 3.12526e-06 
 11 KSP Residual norm 1.29728e-06 
 12 KSP Residual norm 4.10246e-07 
 13 KSP Residual norm 1.7092e-07 
 14 KSP Residual norm 1.00192e-07 
 15 KSP Residual norm 5.29383e-08 
Linear solve converged due to CONVERGED_RTOL iterations 15
KSP Object: 8 MPI processes
  type: cg
  maximum iterations=10000, initial guess is zero
  tolerances:  relative=1e-05, absolute=1e-50, divergence=10000.
  left preconditioning
  using PRECONDITIONED norm type for convergence test
PC Object: 8 MPI processes
  type: gamg
    type is MULTIPLICATIVE, levels=2 cycles=v
      Cycles per PCApply=1
      Using externally compute Galerkin coarse grid matrices
      GAMG specific options
        Threshold for dropping small values in graph on each level =   -0.01   -0.01  
        Threshold scaling factor for each level not specified = 1.
        Using parallel coarse grid solver (all coarse grid equations not put on one process)
        AGG specific options
          Number of levels to square graph 1
          Number smoothing steps 1
        Complexity:    grid = 1.036    operator = 1.03899
  Coarse grid solver -- level 0 -------------------------------
    KSP Object: (mg_coarse_) 8 MPI processes
      type: cg
      maximum iterations=10000, initial guess is zero
      tolerances:  relative=1e-05, absolute=1e-50, divergence=10000.
      left preconditioning
      using PRECONDITIONED norm type for convergence test
    PC Object: (mg_coarse_) 8 MPI processes
      type: jacobi
        type DIAGONAL
      linear system matrix = precond matrix:
      Mat Object: 8 MPI processes
        type: mpiaij
        rows=108, cols=108, bs=6
        total: nonzeros=7704, allocated nonzeros=7704
        total number of mallocs used during MatSetValues calls=0
          using nonscalable MatPtAP() implementation
          using I-node (on process 0) routines: found 6 nodes, limit used is 5
  Down solver (pre-smoother) on level 1 -------------------------------
    KSP Object: (mg_levels_1_) 8 MPI processes
      type: chebyshev
        Chebyshev polynomial of first kind
        eigenvalue targets used: min 0.637067, max 3.3446
        eigenvalues provided (min 0.0597913, max 3.18533) with transform: [0. 0.2; 0. 1.05]
      maximum iterations=2, nonzero initial guess
      tolerances:  relative=1e-05, absolute=1e-50, divergence=10000.
      left preconditioning
      using NONE norm type for convergence test
    PC Object: (mg_levels_1_) 8 MPI processes
      type: jacobi
        type DIAGONAL
      linear system matrix = precond matrix:
      Mat Object: 8 MPI processes
        type: mpiaij
        rows=3000, cols=3000, bs=3
        total: nonzeros=197568, allocated nonzeros=243000
        total number of mallocs used during MatSetValues calls=0
          has attached near null space
          using I-node (on process 0) routines: found 125 nodes, limit used is 5
  Up solver (post-smoother) same as down solver (pre-smoother)
  linear system matrix = precond matrix:
  Mat Object: 8 MPI processes
    type: mpiaij
    rows=3000, cols=3000, bs=3
    total: nonzeros=197568, allocated nonzeros=243000
    total number of mallocs used during MatSetValues calls=0
      has attached near null space
      using I-node (on process 0) routines: found 125 nodes, limit used is 5
  0 KSP Residual norm 0.00771581 
  1 KSP Residual norm 0.00204713 
  2 KSP Residual norm 0.000678428 
  3 KSP Residual norm 0.00041097 
  4 KSP Residual norm 0.000145668 
  5 KSP Residual norm 7.48788e-05 
  6 KSP Residual norm 3.66204e-05 
  7 KSP Residual norm 2.16796e-05 
  8 KSP Residual norm 1.05835e-05 
  9 KSP Residual norm 6.04758e-06 
 10 KSP Residual norm 3.12526e-06 
 11 KSP Residual norm 1.29728e-06 
 12 KSP Residual norm 4.10246e-07 
 13 KSP Residual norm 1.7092e-07 
 14 KSP Residual norm 1.00192e-07 
 15 KSP Residual norm 5.29383e-08 
Linear solve converged due to CONVERGED_RTOL iterations 15
KSP Object: 8 MPI processes
  type: cg
  maximum iterations=10000, initial guess is zero
  tolerances:  relative=1e-05, absolute=1e-50, divergence=10000.
  left preconditioning
  using PRECONDITIONED norm type for convergence test
PC Object: 8 MPI processes
  type: gamg
    type is MULTIPLICATIVE, levels=2 cycles=v
      Cycles per PCApply=1
      Using externally compute Galerkin coarse grid matrices
      GAMG specific options
        Threshold for dropping small values in graph on each level =   -0.01   -0.01  
        Threshold scaling factor for each level not specified = 1.
        Using parallel coarse grid solver (all coarse grid equations not put on one process)
        AGG specific options
          Number of levels to square graph 1
          Number smoothing steps 1
        Complexity:    grid = 1.036    operator = 1.03899
  Coarse grid solver -- level 0 -------------------------------
    KSP Object: (mg_coarse_) 8 MPI processes
      type: cg
      maximum iterations=10000, initial guess is zero
      tolerances:  relative=1e-05, absolute=1e-50, divergence=10000.
      left preconditioning
      using PRECONDITIONED norm type for convergence test
    PC Object: (mg_coarse_) 8 MPI processes
      type: jacobi
        type DIAGONAL
      linear system matrix = precond matrix:
      Mat Object: 8 MPI processes
        type: mpiaij
        rows=108, cols=108, bs=6
        total: nonzeros=7704, allocated nonzeros=7704
        total number of mallocs used during MatSetValues calls=0
          using nonscalable MatPtAP() implementation
          using I-node (on process 0) routines: found 6 nodes, limit used is 5
  Down solver (pre-smoother) on level 1 -------------------------------
    KSP Object: (mg_levels_1_) 8 MPI processes
      type: chebyshev
        Chebyshev polynomial of first kind
        eigenvalue targets used: min 0.637067, max 3.3446
        eigenvalues provided (min 0.0597913, max 3.18533) with transform: [0. 0.2; 0. 1.05]
      maximum iterations=2, nonzero initial guess
      tolerances:  relative=1e-05, absolute=1e-50, divergence=10000.
      left preconditioning
      using NONE norm type for convergence test
    PC Object: (mg_levels_1_) 8 MPI processes
      type: jacobi
        type DIAGONAL
      linear system matrix = precond matrix:
      Mat Object: 8 MPI processes
        type: mpiaij
        rows=3000, cols=3000, bs=3
        total: nonzeros=197568, allocated nonzeros=243000
        total number of mallocs used during MatSetValues calls=0
          has attached near null space
          using I-node (on process 0) routines: found 125 nodes, limit used is 5
  Up solver (post-smoother) same as down solver (pre-smoother)
  linear system matrix = precond matrix:
  Mat Object: 8 MPI processes
    type: mpiaij
    rows=3000, cols=3000, bs=3
    total: nonzeros=197568, allocated nonzeros=243000
    total number of mallocs used during MatSetValues calls=0
      has attached near null space
      using I-node (on process 0) routines: found 125 nodes, limit used is 5
[0]main |b-Ax|/|b|=1.490518e-04, |b|=5.391826e+00, emax=9.966129e-01
