0 SNES Function norm 6756.94 0 SNES Function norm 6756.94 1 SNES Function norm 1979.65 0 SNES Function norm 948.794 1 SNES Function norm 440.163 2 SNES Function norm 7286.53 3 SNES Function norm 2135.28 4 SNES Function norm 600.556 5 SNES Function norm 152.49 6 SNES Function norm 29.6007 7 SNES Function norm 4.30356 8 SNES Function norm 0.967874 9 SNES Function norm 0.142767 10 SNES Function norm 0.00463994 11 SNES Function norm 5.39163e-06 0 SNES Function norm 3646.23 1 SNES Function norm 1081.03 1 SNES Function norm 1081.03 0 SNES Function norm 1081.03 1 SNES Function norm 320.949 0 SNES Function norm 151.822 1 SNES Function norm 4799.6 2 SNES Function norm 1411.12 3 SNES Function norm 405.791 4 SNES Function norm 108.979 5 SNES Function norm 21.852 6 SNES Function norm 1.7527 7 SNES Function norm 0.0173367 8 SNES Function norm 2.07779e-06 9 SNES Function norm < 1.e-11 0 SNES Function norm 401.364 1 SNES Function norm 119.145 2 SNES Function norm 119.145 0 SNES Function norm 119.145 1 SNES Function norm 35.4235 0 SNES Function norm 23.8696 1 SNES Function norm 63.4249 2 SNES Function norm 48.2 3 SNES Function norm 14.1942 4 SNES Function norm 4.09323 5 SNES Function norm 1.02386 6 SNES Function norm 0.114062 7 SNES Function norm 0.00213367 8 SNES Function norm 7.792e-07 9 SNES Function norm < 1.e-11 0 SNES Function norm 296.079 1 SNES Function norm 88.0037 3 SNES Function norm 88.0037 0 SNES Function norm 88.0037 1 SNES Function norm 26.3428 0 SNES Function norm 18.2316 1 SNES Function norm 199.54 2 SNES Function norm 55.8244 3 SNES Function norm 13.7021 4 SNES Function norm 2.24731 5 SNES Function norm 0.129872 6 SNES Function norm 0.00090092 7 SNES Function norm 3.31413e-07 8 SNES Function norm < 1.e-11 0 SNES Function norm 88.2604 1 SNES Function norm 26.1868 4 SNES Function norm 26.1868 0 SNES Function norm 26.1868 1 SNES Function norm 7.78561 0 SNES Function norm 6.15863 1 SNES Function norm 3.23026 2 SNES Function norm 96.3642 3 SNES Function norm 27.9623 4 SNES Function norm 7.86654 5 SNES Function norm 2.07044 6 SNES Function norm 0.461842 7 SNES Function norm 0.0578646 8 SNES Function norm 0.00145046 9 SNES Function norm 1.03444e-06 10 SNES Function norm < 1.e-11 0 SNES Function norm 31.0513 1 SNES Function norm 9.57145 5 SNES Function norm 9.57145 0 SNES Function norm 9.57145 1 SNES Function norm 3.08923 0 SNES Function norm 2.42266 1 SNES Function norm 17.574 2 SNES Function norm 4.77565 3 SNES Function norm 1.06724 4 SNES Function norm 0.125913 5 SNES Function norm 0.00267886 6 SNES Function norm 2.04053e-06 7 SNES Function norm 1.15747e-09 0 SNES Function norm 2.29459 1 SNES Function norm 0.734818 6 SNES Function norm 0.734818 0 SNES Function norm 0.734818 1 SNES Function norm 0.161953 0 SNES Function norm 0.10505 1 SNES Function norm 0.0071847 2 SNES Function norm 0.000116613 3 SNES Function norm 7.9238e-08 4 SNES Function norm < 1.e-11 0 SNES Function norm 0.112554 1 SNES Function norm 0.00782261 7 SNES Function norm 0.00782261 0 SNES Function norm 0.00782261 1 SNES Function norm 0.000229847 0 SNES Function norm 0.000184177 1 SNES Function norm 1.97362e-07 2 SNES Function norm < 1.e-11 0 SNES Function norm 0.000186176 1 SNES Function norm 2.72581e-07 8 SNES Function norm 2.72581e-07 L_2 Error: 0.00137489 Nonlinear solve converged due to CONVERGED_FNORM_RELATIVE iterations 8 SNES Object: 1 MPI process type: fas type is MULTIPLICATIVE, levels=2, cycles=1 Not using Galerkin computed coarse grid function evaluation Coarse grid solver -- level 0 ------------------------------- SNES Object: (fas_coarse_) 1 MPI process type: newtonls maximum iterations=50, maximum function evaluations=10000 tolerances: relative=1e-08, absolute=1e-50, solution=1e-08 total number of linear solver iterations=2 total number of function evaluations=2 norm schedule ALWAYS SNESLineSearch Object: (fas_coarse_) 1 MPI process type: basic maxlambda=1.000000e+00, minlambda=1.000000e-12 tolerances: relative=1.000000e-08, absolute=1.000000e-15, lambda=1.000000e-08 maximum iterations=40 KSP Object: (fas_coarse_) 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=1e-10, absolute=1e-50, divergence=10000. left preconditioning using PRECONDITIONED norm type for convergence test PC Object: (fas_coarse_) 1 MPI process type: svd All singular values smaller than 1e-12 treated as zero Provided essential rank of the matrix 0 (all other eigenvalues are zeroed) linear system matrix, which is also used to construct the preconditioner: Mat Object: 1 MPI process type: seqaij rows=103, cols=103 total: nonzeros=819, allocated nonzeros=819 total number of mallocs used during MatSetValues calls=0 not using I-node routines Down solver (pre-smoother) on level 1 ------------------------------- SNES Object: (fas_levels_1_) 1 MPI process type: newtonls maximum iterations=1, maximum function evaluations=10000 tolerances: relative=0., absolute=0., solution=0. total number of linear solver iterations=1 total number of function evaluations=2 norm schedule FINALONLY SNESLineSearch Object: (fas_levels_1_) 1 MPI process type: bt interpolation: cubic alpha=1.000000e-04 maxlambda=1.000000e+00, minlambda=1.000000e-12 tolerances: relative=1.000000e-08, absolute=1.000000e-15, lambda=1.000000e-08 maximum iterations=40 KSP Object: (fas_levels_1_) 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=1e-10, absolute=1e-50, divergence=10000. left preconditioning using PRECONDITIONED norm type for convergence test PC Object: (fas_levels_1_) 1 MPI process type: svd All singular values smaller than 1e-12 treated as zero Provided essential rank of the matrix 0 (all other eigenvalues are zeroed) linear system matrix, which is also used to construct the preconditioner: Mat Object: 1 MPI process type: seqaij rows=319, cols=319 total: nonzeros=2741, allocated nonzeros=2741 total number of mallocs used during MatSetValues calls=0 not using I-node routines Up solver (post-smoother) same as down solver (pre-smoother) maximum iterations=10000, maximum function evaluations=30000 tolerances: relative=1e-08, absolute=1e-50, solution=1e-08 total number of function evaluations=1 norm schedule ALWAYS