0 SNES Function norm < 1.e-11 0 SNES Function norm < 1.e-11 1 SNES Function norm < 1.e-11 0 SNES Function norm < 1.e-11 1 SNES Function norm < 1.e-11 0 SNES Function norm < 1.e-11 1 SNES Function norm < 1.e-11 0 SNES Function norm < 1.e-11 1 SNES Function norm < 1.e-11 0 SNES Function norm < 1.e-11 1 SNES Function norm < 1.e-11 1 SNES Function norm < 1.e-11 L_2 Error: < 1.0e-11 Nonlinear solve did not converge due to DIVERGED_MAX_IT iterations 1 SNES Object: 1 MPI process type: fas type is MULTIPLICATIVE, levels=3, 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=1 total number of function evaluations=1 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: preonly maximum iterations=10000, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000. left preconditioning not checking for convergence PC Object: (fas_coarse_) 1 MPI process type: none linear system matrix, which is also used to construct the preconditioner: Mat Object: 1 MPI process type: seqaij rows=213, cols=213 total: nonzeros=2865, allocated nonzeros=2865 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=1e-10, solution=0. total number of linear solver iterations=1 total number of function evaluations=3 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: preonly maximum iterations=10000, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000. left preconditioning not checking for convergence PC Object: (fas_levels_1_) 1 MPI process type: none linear system matrix, which is also used to construct the preconditioner: Mat Object: 1 MPI process type: seqaij rows=513, cols=513 total: nonzeros=7409, allocated nonzeros=7409 total number of mallocs used during MatSetValues calls=0 not using I-node routines Up solver (post-smoother) same as down solver (pre-smoother) Down solver (pre-smoother) on level 2 ------------------------------- SNES Object: (fas_levels_2_) 1 MPI process type: newtonls maximum iterations=1, maximum function evaluations=10000 tolerances: relative=0., absolute=1e-10, solution=0. total number of linear solver iterations=1 total number of function evaluations=3 norm schedule FINALONLY SNESLineSearch Object: (fas_levels_2_) 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_2_) 1 MPI process type: preonly maximum iterations=10000, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000. left preconditioning not checking for convergence PC Object: (fas_levels_2_) 1 MPI process type: none linear system matrix, which is also used to construct the preconditioner: Mat Object: 1 MPI process type: seqaij rows=1485, cols=1485 total: nonzeros=22683, allocated nonzeros=22683 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=1, maximum function evaluations=30000 tolerances: relative=1e-08, absolute=1e-50, solution=1e-08 total number of function evaluations=1 norm schedule ALWAYS