1*a99ef635SJonas Heinzmann 0 SNES VI Function norm 0.0946221 Active lower constraints 202/7417 upper constraints 0/0 Percent of total 0.0214688 Percent of bounded 0. 2*a99ef635SJonas Heinzmann 0 KSP Residual norm 2.45579 3*a99ef635SJonas Heinzmann 1 KSP Residual norm 0.00111693 4*a99ef635SJonas Heinzmann 2 KSP Residual norm 1.91557e-05 5*a99ef635SJonas Heinzmann Line search: lambdas = [1., 0.5, 0.], fnorms = [0.0797335, 0.100809, 0.159656] 6*a99ef635SJonas Heinzmann Line search: lambdas = [0.915104, 0.957552, 1.], fnorms = [0.081438, 0.0805196, 0.0797335] 7*a99ef635SJonas Heinzmann Line search terminated: lambda = 0.915104, fnorm = 0.081438 8*a99ef635SJonas Heinzmann 1 SNES VI Function norm 0.0752808 Active lower constraints 1672/4510 upper constraints 0/0 Percent of total 0.177702 Percent of bounded 0. 9*a99ef635SJonas Heinzmann 0 KSP Residual norm 2.06506 10*a99ef635SJonas Heinzmann 1 KSP Residual norm 0.00107046 11*a99ef635SJonas Heinzmann 2 KSP Residual norm 3.63051e-05 12*a99ef635SJonas Heinzmann 3 KSP Residual norm 2.78696e-06 13*a99ef635SJonas Heinzmann Line search: lambdas = [1., 0.5, 0.], fnorms = [0.198412, 0.0569585, 0.081438] 14*a99ef635SJonas Heinzmann Line search: lambdas = [0.292873, 0.646436, 1.], fnorms = [0.0649412, 0.0601262, 0.198412] 15*a99ef635SJonas Heinzmann Line search: lambdas = [0.475511, 0.384192, 0.292873], fnorms = [0.0577764, 0.0611996, 0.0649412] 16*a99ef635SJonas Heinzmann Line search terminated: lambda = 0.475511, fnorm = 0.0577764 17*a99ef635SJonas Heinzmann 2 SNES VI Function norm 0.0603601 Active lower constraints 617/3442 upper constraints 0/0 Percent of total 0.0655755 Percent of bounded 0. 18*a99ef635SJonas Heinzmann 0 KSP Residual norm 1.38057 19*a99ef635SJonas Heinzmann 1 KSP Residual norm 0.00133809 20*a99ef635SJonas Heinzmann 2 KSP Residual norm 8.79866e-05 21*a99ef635SJonas Heinzmann 3 KSP Residual norm 5.99227e-06 22*a99ef635SJonas Heinzmann Line search: lambdas = [1., 0.5, 0.], fnorms = [0.056166, 0.0384986, 0.0577764] 23*a99ef635SJonas Heinzmann Line search: lambdas = [0.513001, 0.7565, 1.], fnorms = [0.0381892, 0.037167, 0.056166] 24*a99ef635SJonas Heinzmann Line search: lambdas = [0.644888, 0.578944, 0.513001], fnorms = [0.0361373, 0.0368725, 0.0381892] 25*a99ef635SJonas Heinzmann Line search: lambdas = [0.690301, 0.667594, 0.644888], fnorms = [0.0361293, 0.0360723, 0.0361373] 26*a99ef635SJonas Heinzmann Line search: lambdas = [0.668336, 0.679318, 0.690301], fnorms = [0.0360721, 0.0360854, 0.0361293] 27*a99ef635SJonas Heinzmann Line search: lambdas = [0.669089, 0.668712, 0.668336], fnorms = [0.0360721, 0.0360721, 0.0360721] 28*a99ef635SJonas Heinzmann Line search: abs(delLambda) = 0.000752779 < ltol = 0.01 29*a99ef635SJonas Heinzmann Line search terminated: lambda = 0.669089, fnorm = 0.0360721 30*a99ef635SJonas Heinzmann 3 SNES VI Function norm 0.0441763 Active lower constraints 274/2238 upper constraints 0/0 Percent of total 0.0291211 Percent of bounded 0. 31*a99ef635SJonas Heinzmann 0 KSP Residual norm 2.16377 32*a99ef635SJonas Heinzmann 1 KSP Residual norm 0.00146181 33*a99ef635SJonas Heinzmann 2 KSP Residual norm 9.78699e-05 34*a99ef635SJonas Heinzmann 3 KSP Residual norm 5.64809e-06 35*a99ef635SJonas Heinzmann Line search: lambdas = [1., 0.5, 0.], fnorms = [0.0342798, 0.0229308, 0.0360721] 36*a99ef635SJonas Heinzmann Line search: lambdas = [0.522126, 0.761063, 1.], fnorms = [0.0226399, 0.0236115, 0.0342798] 37*a99ef635SJonas Heinzmann Line search: lambdas = [0.622844, 0.572485, 0.522126], fnorms = [0.022005, 0.0221668, 0.0226399] 38*a99ef635SJonas Heinzmann Line search: lambdas = [0.62328, 0.623062, 0.622844], fnorms = [0.0220052, 0.0220051, 0.022005] 39*a99ef635SJonas Heinzmann Line search: abs(delLambda) = 0.000436207 < ltol = 0.01 40*a99ef635SJonas Heinzmann Line search terminated: lambda = 0.62328, fnorm = 0.0220052 41*a99ef635SJonas Heinzmann 4 SNES VI Function norm 0.0313351 Active lower constraints 209/1082 upper constraints 0/0 Percent of total 0.0222128 Percent of bounded 0. 42*a99ef635SJonas Heinzmann 0 KSP Residual norm 1.77692 43*a99ef635SJonas Heinzmann 1 KSP Residual norm 0.000451394 44*a99ef635SJonas Heinzmann 2 KSP Residual norm 3.35535e-05 45*a99ef635SJonas Heinzmann 3 KSP Residual norm 2.05738e-06 46*a99ef635SJonas Heinzmann Line search: lambdas = [1., 0.5, 0.], fnorms = [0.0178399, 0.0161429, 0.0220052] 47*a99ef635SJonas Heinzmann Line search: lambdas = [0.647496, 0.823748, 1.], fnorms = [0.015858, 0.0164192, 0.0178399] 48*a99ef635SJonas Heinzmann Line search: lambdas = [0.631127, 0.639311, 0.647496], fnorms = [0.015855, 0.0158554, 0.015858] 49*a99ef635SJonas Heinzmann Line search: lambdas = [0.633595, 0.632361, 0.631127], fnorms = [0.0158549, 0.0158549, 0.015855] 50*a99ef635SJonas Heinzmann Line search: abs(delLambda) = 0.00246824 < ltol = 0.01 51*a99ef635SJonas Heinzmann Line search terminated: lambda = 0.633595, fnorm = 0.0158549 52*a99ef635SJonas Heinzmann 5 SNES VI Function norm 0.0233332 Active lower constraints 192/474 upper constraints 0/0 Percent of total 0.020406 Percent of bounded 0. 53*a99ef635SJonas Heinzmann 0 KSP Residual norm 1.43483 54*a99ef635SJonas Heinzmann 1 KSP Residual norm 0.000319562 55*a99ef635SJonas Heinzmann 2 KSP Residual norm 1.66747e-05 56*a99ef635SJonas Heinzmann 3 KSP Residual norm 1.1059e-06 57*a99ef635SJonas Heinzmann Line search: lambdas = [1., 0.5, 0.], fnorms = [0.0150355, 0.0126295, 0.0158549] 58*a99ef635SJonas Heinzmann Line search: lambdas = [0.539941, 0.76997, 1.], fnorms = [0.01264, 0.0133762, 0.0150355] 59*a99ef635SJonas Heinzmann Line search: lambdas = [0.497566, 0.518753, 0.539941], fnorms = [0.01263, 0.0126298, 0.01264] 60*a99ef635SJonas Heinzmann Line search: lambdas = [0.508622, 0.503094, 0.497566], fnorms = [0.0126286, 0.012629, 0.01263] 61*a99ef635SJonas Heinzmann Line search: lambdas = [0.508606, 0.508614, 0.508622], fnorms = [0.0126286, 0.0126286, 0.0126286] 62*a99ef635SJonas Heinzmann Line search: abs(delLambda) = 1.62034e-05 < ltol = 0.01 63*a99ef635SJonas Heinzmann Line search terminated: lambda = 0.508606, fnorm = 0.0126286 64*a99ef635SJonas Heinzmann 6 SNES VI Function norm 0.0133333 Active lower constraints 197/229 upper constraints 0/0 Percent of total 0.0209374 Percent of bounded 0. 65*a99ef635SJonas Heinzmann 0 KSP Residual norm 1.73302 66*a99ef635SJonas Heinzmann 1 KSP Residual norm 0.000254496 67*a99ef635SJonas Heinzmann 2 KSP Residual norm 1.45844e-05 68*a99ef635SJonas Heinzmann Line search: lambdas = [1., 0.5, 0.], fnorms = [0.0146463, 0.0113487, 0.0126286] 69*a99ef635SJonas Heinzmann Line search: lambdas = [0.381814, 0.690907, 1.], fnorms = [0.011128, 0.0122336, 0.0146463] 70*a99ef635SJonas Heinzmann Line search: lambdas = [0.33175, 0.356782, 0.381814], fnorms = [0.0111204, 0.0111176, 0.011128] 71*a99ef635SJonas Heinzmann Line search: lambdas = [0.34965, 0.3407, 0.33175], fnorms = [0.011117, 0.0111179, 0.0111204] 72*a99ef635SJonas Heinzmann Line search: lambdas = [0.349585, 0.349617, 0.34965], fnorms = [0.011117, 0.011117, 0.011117] 73*a99ef635SJonas Heinzmann Line search: abs(delLambda) = 6.4482e-05 < ltol = 0.01 74*a99ef635SJonas Heinzmann Line search terminated: lambda = 0.349585, fnorm = 0.011117 75*a99ef635SJonas Heinzmann 7 SNES VI Function norm 0.0338241 Active lower constraints 181/181 upper constraints 0/0 Percent of total 0.0192369 Percent of bounded 0. 76*a99ef635SJonas Heinzmann 0 KSP Residual norm 2.97523 77*a99ef635SJonas Heinzmann 1 KSP Residual norm 0.000186658 78*a99ef635SJonas Heinzmann 2 KSP Residual norm 1.23511e-05 79*a99ef635SJonas Heinzmann Line search: lambdas = [1., 0.5, 0.], fnorms = [0.0117776, 0.00938878, 0.011117] 80*a99ef635SJonas Heinzmann Line search: lambdas = [0.456034, 0.728017, 1.], fnorms = [0.00934902, 0.0100998, 0.0117776] 81*a99ef635SJonas Heinzmann Line search: lambdas = [0.412383, 0.434208, 0.456034], fnorms = [0.00934391, 0.00934213, 0.00934902] 82*a99ef635SJonas Heinzmann Line search: lambdas = [0.427768, 0.420075, 0.412383], fnorms = [0.00934175, 0.00934229, 0.00934391] 83*a99ef635SJonas Heinzmann Line search: lambdas = [0.427734, 0.427751, 0.427768], fnorms = [0.00934175, 0.00934175, 0.00934175] 84*a99ef635SJonas Heinzmann Line search: abs(delLambda) = 3.41325e-05 < ltol = 0.01 85*a99ef635SJonas Heinzmann Line search terminated: lambda = 0.427734, fnorm = 0.00934175 86*a99ef635SJonas Heinzmann 8 SNES VI Function norm 0.06552 Active lower constraints 156/156 upper constraints 0/0 Percent of total 0.0165799 Percent of bounded 0. 87*a99ef635SJonas Heinzmann 0 KSP Residual norm 2.7587 88*a99ef635SJonas Heinzmann 1 KSP Residual norm 0.000238642 89*a99ef635SJonas Heinzmann 2 KSP Residual norm 2.61334e-05 90*a99ef635SJonas Heinzmann Line search: lambdas = [1., 0.5, 0.], fnorms = [0.00527717, 0.00611532, 0.00934175] 91*a99ef635SJonas Heinzmann Line search: lambdas = [0.868403, 0.934201, 1.], fnorms = [0.00519545, 0.00520912, 0.00527717] 92*a99ef635SJonas Heinzmann Line search: lambdas = [0.884914, 0.876658, 0.868403], fnorms = [0.00519364, 0.0051941, 0.00519545] 93*a99ef635SJonas Heinzmann Line search: lambdas = [0.885085, 0.885, 0.884914], fnorms = [0.00519364, 0.00519364, 0.00519364] 94*a99ef635SJonas Heinzmann Line search: abs(delLambda) = 0.000171405 < ltol = 0.01 95*a99ef635SJonas Heinzmann Line search terminated: lambda = 0.885085, fnorm = 0.00519364 96*a99ef635SJonas Heinzmann 9 SNES VI Function norm 0.0560106 Active lower constraints 163/163 upper constraints 0/0 Percent of total 0.0173238 Percent of bounded 0. 97*a99ef635SJonas Heinzmann 0 KSP Residual norm 0.513895 98*a99ef635SJonas Heinzmann 1 KSP Residual norm 8.60958e-05 99*a99ef635SJonas Heinzmann 2 KSP Residual norm 7.13936e-06 100*a99ef635SJonas Heinzmann 3 KSP Residual norm 1.19163e-07 101*a99ef635SJonas Heinzmann Line search: lambdas = [1., 0.5, 0.], fnorms = [0.000645946, 0.00276054, 0.00519364] 102*a99ef635SJonas Heinzmann Line search terminated: lambda = 1., fnorm = 0.000645946 103*a99ef635SJonas Heinzmann 10 SNES VI Function norm 0.00718172 Active lower constraints 197/197 upper constraints 0/0 Percent of total 0.0209374 Percent of bounded 0. 104*a99ef635SJonas Heinzmann 0 KSP Residual norm 0.0120125 105*a99ef635SJonas Heinzmann 1 KSP Residual norm 1.24726e-05 106*a99ef635SJonas Heinzmann 2 KSP Residual norm 5.47228e-07 107*a99ef635SJonas Heinzmann 3 KSP Residual norm 2.14409e-08 108*a99ef635SJonas Heinzmann Line search: lambdas = [1., 0.5, 0.], fnorms = [7.25942e-06, 0.000324681, 0.000645946] 109*a99ef635SJonas Heinzmann Line search terminated: lambda = 1., fnorm = 7.25942e-06 110*a99ef635SJonas Heinzmann 11 SNES VI Function norm 7.25876e-06 Active lower constraints 198/198 upper constraints 0/0 Percent of total 0.0210437 Percent of bounded 0. 111*a99ef635SJonas Heinzmann 0 KSP Residual norm 7.605e-05 112*a99ef635SJonas Heinzmann 1 KSP Residual norm 2.22651e-07 113*a99ef635SJonas Heinzmann 2 KSP Residual norm 6.85049e-09 114*a99ef635SJonas Heinzmann 3 KSP Residual norm 2.258e-10 115*a99ef635SJonas Heinzmann Line search: lambdas = [1., 0.5, 0.], fnorms = [1.31221e-09, 3.63e-06, 7.25942e-06] 116*a99ef635SJonas Heinzmann Line search terminated: lambda = 1., fnorm = 1.31221e-09 117*a99ef635SJonas Heinzmann 12 SNES VI Function norm 1.31193e-09 Active lower constraints 198/198 upper constraints 0/0 Percent of total 0.0210437 Percent of bounded 0. 118*a99ef635SJonas Heinzmann Nonlinear solve converged due to CONVERGED_FNORM_RELATIVE iterations 12 119