1*313f16f2SMatthew G. Knepley 0 SNES Function norm 0.294628 2*313f16f2SMatthew G. Knepley 0 KSP Residual norm 0.294628 3*313f16f2SMatthew G. Knepley 1 KSP Residual norm 0.0278529 4c4762a1bSJed Brown 2 KSP Residual norm < 1.e-11 5c4762a1bSJed Brown Linear solve converged due to CONVERGED_RTOL iterations 2 6*313f16f2SMatthew G. Knepley 1 SNES Function norm 0.117858 7*313f16f2SMatthew G. Knepley 0 KSP Residual norm 0.117858 8*313f16f2SMatthew G. Knepley 1 KSP Residual norm 0.00218783 9c4762a1bSJed Brown 2 KSP Residual norm < 1.e-11 10c4762a1bSJed Brown Linear solve converged due to CONVERGED_RTOL iterations 2 11*313f16f2SMatthew G. Knepley 2 SNES Function norm 0.0360603 12*313f16f2SMatthew G. Knepley 0 KSP Residual norm 0.0360603 13*313f16f2SMatthew G. Knepley 1 KSP Residual norm 0.000870849 14c4762a1bSJed Brown 2 KSP Residual norm < 1.e-11 15c4762a1bSJed Brown Linear solve converged due to CONVERGED_RTOL iterations 2 16*313f16f2SMatthew G. Knepley 3 SNES Function norm 0.00191581 17*313f16f2SMatthew G. Knepley 0 KSP Residual norm 0.00191581 18*313f16f2SMatthew G. Knepley 1 KSP Residual norm 1.80959e-05 19*313f16f2SMatthew G. Knepley 2 KSP Residual norm < 1.e-11 20*313f16f2SMatthew G. Knepley Linear solve converged due to CONVERGED_RTOL iterations 2 21*313f16f2SMatthew G. Knepley 4 SNES Function norm 1.49002e-05 22*313f16f2SMatthew G. Knepley 0 KSP Residual norm 1.49002e-05 23*313f16f2SMatthew G. Knepley 1 KSP Residual norm 2.71385e-07 24*313f16f2SMatthew G. Knepley 2 KSP Residual norm < 1.e-11 25*313f16f2SMatthew G. Knepley Linear solve converged due to CONVERGED_RTOL iterations 2 26*313f16f2SMatthew G. Knepley 5 SNES Function norm 3.795e-10 27*313f16f2SMatthew G. Knepley Nonlinear solve converged due to CONVERGED_FNORM_RELATIVE iterations 5 28*313f16f2SMatthew G. KnepleyNumber of SNES iterations = 5 29