  0 KSP Residual norm 719.386 
  1 KSP Residual norm 212.248 
  2 KSP Residual norm 79.0047 
  3 KSP Residual norm 52.1969 
  4 KSP Residual norm 25.5344 
  5 KSP Residual norm 12.7474 
  6 KSP Residual norm 5.33936 
  7 KSP Residual norm 2.49275 
  8 KSP Residual norm 1.82264 
  9 KSP Residual norm 1.25546 
 10 KSP Residual norm 0.614441 
 11 KSP Residual norm 0.232263 
 12 KSP Residual norm 0.0870125 
 13 KSP Residual norm 0.0292774 
 14 KSP Residual norm 0.0130486 
 15 KSP Residual norm 0.00807988 
 16 KSP Residual norm 0.00401822 
Linear solve converged due to CONVERGED_RTOL iterations 16
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 of aggressive coarsening 1
          MIS-k aggressive coarsening
          MIS-2 coarsening on aggressive levels
          Number smoothing steps 1
        Complexity:    grid = 1.038    operator = 1.04428
  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=114, cols=114, bs=6
        total: nonzeros=8748, allocated nonzeros=8748
        total number of mallocs used during MatSetValues calls=0
          using I-node (on process 0) routines: found 4 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 0.636368, max 3.34093
        eigenvalues estimated via cg: min 0.0755794, max 3.18184
        eigenvalues estimated using cg with transform: [0. 0.2; 0. 1.05]
        KSP Object: (mg_levels_1_esteig_) 8 MPI processes
          type: cg
          maximum iterations=10, initial guess is zero
          tolerances:  relative=1e-12, absolute=1e-50, divergence=10000.
          left preconditioning
          using PRECONDITIONED norm type for convergence test
        estimating eigenvalues using noisy right hand side
      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
          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
      using I-node (on process 0) routines: found 125 nodes, limit used is 5
  0 KSP Residual norm 0.00719386 
  1 KSP Residual norm 0.00212248 
  2 KSP Residual norm 0.000790047 
  3 KSP Residual norm 0.000521969 
  4 KSP Residual norm 0.000255344 
  5 KSP Residual norm 0.000127474 
  6 KSP Residual norm 5.33936e-05 
  7 KSP Residual norm 2.49275e-05 
  8 KSP Residual norm 1.82264e-05 
  9 KSP Residual norm 1.25546e-05 
 10 KSP Residual norm 6.14441e-06 
 11 KSP Residual norm 2.32263e-06 
 12 KSP Residual norm 8.70125e-07 
 13 KSP Residual norm 2.92774e-07 
 14 KSP Residual norm 1.30486e-07 
 15 KSP Residual norm 8.07988e-08 
 16 KSP Residual norm 4.01822e-08 
Linear solve converged due to CONVERGED_RTOL iterations 16
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 of aggressive coarsening 1
          MIS-k aggressive coarsening
          MIS-2 coarsening on aggressive levels
          Number smoothing steps 1
        Complexity:    grid = 1.038    operator = 1.04428
  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=114, cols=114, bs=6
        total: nonzeros=8748, allocated nonzeros=8748
        total number of mallocs used during MatSetValues calls=0
          using nonscalable MatPtAP() implementation
          using I-node (on process 0) routines: found 4 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 0.636368, max 3.34093
        eigenvalues estimated via cg: min 0.0755794, max 3.18184
        eigenvalues estimated using cg with transform: [0. 0.2; 0. 1.05]
        KSP Object: (mg_levels_1_esteig_) 8 MPI processes
          type: cg
          maximum iterations=10, initial guess is zero
          tolerances:  relative=1e-12, absolute=1e-50, divergence=10000.
          left preconditioning
          using PRECONDITIONED norm type for convergence test
        estimating eigenvalues using noisy right hand side
      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
          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
      using I-node (on process 0) routines: found 125 nodes, limit used is 5
  0 KSP Residual norm 0.00719386 
  1 KSP Residual norm 0.00212248 
  2 KSP Residual norm 0.000790047 
  3 KSP Residual norm 0.000521969 
  4 KSP Residual norm 0.000255344 
  5 KSP Residual norm 0.000127474 
  6 KSP Residual norm 5.33936e-05 
  7 KSP Residual norm 2.49275e-05 
  8 KSP Residual norm 1.82264e-05 
  9 KSP Residual norm 1.25546e-05 
 10 KSP Residual norm 6.14441e-06 
 11 KSP Residual norm 2.32263e-06 
 12 KSP Residual norm 8.70125e-07 
 13 KSP Residual norm 2.92774e-07 
 14 KSP Residual norm 1.30486e-07 
 15 KSP Residual norm 8.07988e-08 
 16 KSP Residual norm 4.01822e-08 
Linear solve converged due to CONVERGED_RTOL iterations 16
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 of aggressive coarsening 1
          MIS-k aggressive coarsening
          MIS-2 coarsening on aggressive levels
          Number smoothing steps 1
        Complexity:    grid = 1.038    operator = 1.04428
  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=114, cols=114, bs=6
        total: nonzeros=8748, allocated nonzeros=8748
        total number of mallocs used during MatSetValues calls=0
          using nonscalable MatPtAP() implementation
          using I-node (on process 0) routines: found 4 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 0.636368, max 3.34093
        eigenvalues estimated via cg: min 0.0755794, max 3.18184
        eigenvalues estimated using cg with transform: [0. 0.2; 0. 1.05]
        KSP Object: (mg_levels_1_esteig_) 8 MPI processes
          type: cg
          maximum iterations=10, initial guess is zero
          tolerances:  relative=1e-12, absolute=1e-50, divergence=10000.
          left preconditioning
          using PRECONDITIONED norm type for convergence test
        estimating eigenvalues using noisy right hand side
      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
          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
      using I-node (on process 0) routines: found 125 nodes, limit used is 5
[0]main |b-Ax|/|b|=9.429766e-05, |b|=5.391826e+00, emax=9.988419e-01
