Hi K, These errors aren't particularly informative. Can you do a smaller version of the problem so that you only need "-np 1", and run it in debug mode, and let me know what happens then?
David On 12/03/2012 02:21 AM, Kyunghoon Lee wrote: > Hello all, > > I made a simple cantilever beam model parametrized w.r.t tip loads in x & y > directions with RB methods for steady solutions, then extended the model > for transient solutions. For the steady model, I run > > $PETSC_DIR/bin/mpirun -np 8 ./beam_2d-opt -ksp_type preonly -pc_type lu > -pc_factor_mat_solver_package mumps > > and the training was terminated after finding two basis functions. Now for > the transient model, if I use the same run options, it crashes while > computing output dual norms as follows (the outputs are averaged tip > displacements in x and y): > > ----------------------------------------------------------------------------------------------------------------- > $PETSC_DIR/bin/mpirun -np 8 ./beam_2d-opt -ksp_type preonly -pc_type lu > -pc_factor_mat_solver_package mumps > *** Warning, This code is untested, experimental, or likely to see future > API changes: src/reduced_basis/rb_parametrized.C, line 41, compiled Nov 27 > 2012 at 17:00:18 *** > Initializing training parameters with random training set... > Parameter load_Fx: log scaling = 0 > Parameter load_Fy: log scaling = 0 > > > RBConstruction parameters: > system name: RBTransientElasticity > constrained_problem: 0 > Nmax: 10 > Basis training error tolerance: 1e-06 > Aq operators attached: 1 > Fq functions attached: 2 > n_outputs: 2 > output 0, Q_l = 1 > output 1, Q_l = 1 > Number of parameters: 2 > Parameter load_Fx: Min = -5, Max = 5, value = 0 > Parameter load_Fy: Min = -5, Max = 5, value = 5 > n_training_samples: 100 > single-matrix mode? 0 > reuse preconditioner? 1 > use a relative error bound in greedy? 0 > write out data during basis training? 0 > quiet mode? 1 > > > TransientRBConstruction parameters: > Q_m: 1 > Number of time-steps: 100 > dt: 0.01 > euler_theta (time discretization parameter): 1 > delta_N (number of basis functions to add each POD-Greedy step): 1 > Using zero initial condition > > *** Warning, This code is deprecated, and likely to be removed in future > library versions! src/mesh/boundary_info.C, line 750, compiled Nov 27 2012 > at 16:59:26 *** > load_Fx: 0.000000e+00 > load_Fy: 1.000000e+00 > > t_step[0] = 0.0e+00 truth_out[0] = 0.0000e+00 truth_out[1] = 0.0000e+00 > t_step[1] = 1.0e-02 truth_out[0] = 6.4695e-06 truth_out[1] = 2.9555e+01 > t_step[2] = 2.0e-02 truth_out[0] = -1.6811e-05 truth_out[1] = 3.1663e+01 > t_step[3] = 3.0e-02 truth_out[0] = -2.3264e-05 truth_out[1] = 3.3369e+01 > t_step[4] = 4.0e-02 truth_out[0] = -2.3126e-05 truth_out[1] = 3.4889e+01 > t_step[5] = 5.0e-02 truth_out[0] = -2.0980e-05 truth_out[1] = 3.6299e+01 > t_step[6] = 6.0e-02 truth_out[0] = -1.8536e-05 truth_out[1] = 3.7639e+01 > t_step[7] = 7.0e-02 truth_out[0] = -1.6399e-05 truth_out[1] = 3.8929e+01 > t_step[8] = 8.0e-02 truth_out[0] = -1.4733e-05 truth_out[1] = 4.0183e+01 > t_step[9] = 9.0e-02 truth_out[0] = -1.3539e-05 truth_out[1] = 4.1411e+01 > t_step[10] = 1.0e-01 truth_out[0] = -1.2752e-05 truth_out[1] = > 4.2618e+01 > t_step[11] = 1.1e-01 truth_out[0] = -1.2295e-05 truth_out[1] = > 4.3811e+01 > t_step[12] = 1.2e-01 truth_out[0] = -1.2092e-05 truth_out[1] = > 4.4991e+01 > t_step[13] = 1.3e-01 truth_out[0] = -1.2079e-05 truth_out[1] = > 4.6161e+01 > t_step[14] = 1.4e-01 truth_out[0] = -1.2201e-05 truth_out[1] = > 4.7324e+01 > t_step[15] = 1.5e-01 truth_out[0] = -1.2414e-05 truth_out[1] = > 4.8481e+01 > t_step[16] = 1.6e-01 truth_out[0] = -1.2686e-05 truth_out[1] = > 4.9632e+01 > t_step[17] = 1.7e-01 truth_out[0] = -1.2990e-05 truth_out[1] = > 5.0780e+01 > t_step[18] = 1.8e-01 truth_out[0] = -1.3308e-05 truth_out[1] = > 5.1923e+01 > t_step[19] = 1.9e-01 truth_out[0] = -1.3625e-05 truth_out[1] = > 5.3064e+01 > t_step[20] = 2.0e-01 truth_out[0] = -1.3933e-05 truth_out[1] = > 5.4202e+01 > t_step[21] = 2.1e-01 truth_out[0] = -1.4224e-05 truth_out[1] = > 5.5338e+01 > t_step[22] = 2.2e-01 truth_out[0] = -1.4493e-05 truth_out[1] = > 5.6471e+01 > t_step[23] = 2.3e-01 truth_out[0] = -1.4740e-05 truth_out[1] = > 5.7602e+01 > t_step[24] = 2.4e-01 truth_out[0] = -1.4962e-05 truth_out[1] = > 5.8732e+01 > t_step[25] = 2.5e-01 truth_out[0] = -1.5159e-05 truth_out[1] = > 5.9860e+01 > t_step[26] = 2.6e-01 truth_out[0] = -1.5331e-05 truth_out[1] = > 6.0986e+01 > t_step[27] = 2.7e-01 truth_out[0] = -1.5480e-05 truth_out[1] = > 6.2111e+01 > t_step[28] = 2.8e-01 truth_out[0] = -1.5607e-05 truth_out[1] = > 6.3234e+01 > t_step[29] = 2.9e-01 truth_out[0] = -1.5713e-05 truth_out[1] = > 6.4356e+01 > t_step[30] = 3.0e-01 truth_out[0] = -1.5800e-05 truth_out[1] = > 6.5477e+01 > t_step[31] = 3.1e-01 truth_out[0] = -1.5869e-05 truth_out[1] = > 6.6596e+01 > t_step[32] = 3.2e-01 truth_out[0] = -1.5922e-05 truth_out[1] = > 6.7713e+01 > t_step[33] = 3.3e-01 truth_out[0] = -1.5960e-05 truth_out[1] = > 6.8830e+01 > t_step[34] = 3.4e-01 truth_out[0] = -1.5984e-05 truth_out[1] = > 6.9945e+01 > t_step[35] = 3.5e-01 truth_out[0] = -1.5997e-05 truth_out[1] = > 7.1059e+01 > t_step[36] = 3.6e-01 truth_out[0] = -1.5999e-05 truth_out[1] = > 7.2172e+01 > t_step[37] = 3.7e-01 truth_out[0] = -1.5991e-05 truth_out[1] = > 7.3284e+01 > t_step[38] = 3.8e-01 truth_out[0] = -1.5975e-05 truth_out[1] = > 7.4394e+01 > t_step[39] = 3.9e-01 truth_out[0] = -1.5951e-05 truth_out[1] = > 7.5504e+01 > t_step[40] = 4.0e-01 truth_out[0] = -1.5921e-05 truth_out[1] = > 7.6612e+01 > t_step[41] = 4.1e-01 truth_out[0] = -1.5885e-05 truth_out[1] = > 7.7719e+01 > t_step[42] = 4.2e-01 truth_out[0] = -1.5843e-05 truth_out[1] = > 7.8825e+01 > t_step[43] = 4.3e-01 truth_out[0] = -1.5797e-05 truth_out[1] = > 7.9930e+01 > t_step[44] = 4.4e-01 truth_out[0] = -1.5747e-05 truth_out[1] = > 8.1034e+01 > t_step[45] = 4.5e-01 truth_out[0] = -1.5694e-05 truth_out[1] = > 8.2137e+01 > t_step[46] = 4.6e-01 truth_out[0] = -1.5638e-05 truth_out[1] = > 8.3239e+01 > t_step[47] = 4.7e-01 truth_out[0] = -1.5579e-05 truth_out[1] = > 8.4339e+01 > t_step[48] = 4.8e-01 truth_out[0] = -1.5518e-05 truth_out[1] = > 8.5439e+01 > t_step[49] = 4.9e-01 truth_out[0] = -1.5456e-05 truth_out[1] = > 8.6538e+01 > t_step[50] = 5.0e-01 truth_out[0] = -1.5392e-05 truth_out[1] = > 8.7635e+01 > t_step[51] = 5.1e-01 truth_out[0] = -1.5327e-05 truth_out[1] = > 8.8732e+01 > t_step[52] = 5.2e-01 truth_out[0] = -1.5261e-05 truth_out[1] = > 8.9828e+01 > t_step[53] = 5.3e-01 truth_out[0] = -1.5194e-05 truth_out[1] = > 9.0922e+01 > t_step[54] = 5.4e-01 truth_out[0] = -1.5127e-05 truth_out[1] = > 9.2016e+01 > t_step[55] = 5.5e-01 truth_out[0] = -1.5059e-05 truth_out[1] = > 9.3109e+01 > t_step[56] = 5.6e-01 truth_out[0] = -1.4991e-05 truth_out[1] = > 9.4200e+01 > t_step[57] = 5.7e-01 truth_out[0] = -1.4923e-05 truth_out[1] = > 9.5291e+01 > t_step[58] = 5.8e-01 truth_out[0] = -1.4855e-05 truth_out[1] = > 9.6381e+01 > t_step[59] = 5.9e-01 truth_out[0] = -1.4788e-05 truth_out[1] = > 9.7470e+01 > t_step[60] = 6.0e-01 truth_out[0] = -1.4720e-05 truth_out[1] = > 9.8558e+01 > t_step[61] = 6.1e-01 truth_out[0] = -1.4653e-05 truth_out[1] = > 9.9646e+01 > t_step[62] = 6.2e-01 truth_out[0] = -1.4586e-05 truth_out[1] = > 1.0073e+02 > t_step[63] = 6.3e-01 truth_out[0] = -1.4519e-05 truth_out[1] = > 1.0182e+02 > t_step[64] = 6.4e-01 truth_out[0] = -1.4453e-05 truth_out[1] = > 1.0290e+02 > t_step[65] = 6.5e-01 truth_out[0] = -1.4387e-05 truth_out[1] = > 1.0399e+02 > t_step[66] = 6.6e-01 truth_out[0] = -1.4322e-05 truth_out[1] = > 1.0507e+02 > t_step[67] = 6.7e-01 truth_out[0] = -1.4258e-05 truth_out[1] = > 1.0615e+02 > t_step[68] = 6.8e-01 truth_out[0] = -1.4194e-05 truth_out[1] = > 1.0723e+02 > t_step[69] = 6.9e-01 truth_out[0] = -1.4130e-05 truth_out[1] = > 1.0831e+02 > t_step[70] = 7.0e-01 truth_out[0] = -1.4068e-05 truth_out[1] = > 1.0939e+02 > t_step[71] = 7.1e-01 truth_out[0] = -1.4006e-05 truth_out[1] = > 1.1047e+02 > t_step[72] = 7.2e-01 truth_out[0] = -1.3944e-05 truth_out[1] = > 1.1155e+02 > t_step[73] = 7.3e-01 truth_out[0] = -1.3883e-05 truth_out[1] = > 1.1262e+02 > t_step[74] = 7.4e-01 truth_out[0] = -1.3823e-05 truth_out[1] = > 1.1370e+02 > t_step[75] = 7.5e-01 truth_out[0] = -1.3764e-05 truth_out[1] = > 1.1477e+02 > t_step[76] = 7.6e-01 truth_out[0] = -1.3705e-05 truth_out[1] = > 1.1585e+02 > t_step[77] = 7.7e-01 truth_out[0] = -1.3647e-05 truth_out[1] = > 1.1692e+02 > t_step[78] = 7.8e-01 truth_out[0] = -1.3589e-05 truth_out[1] = > 1.1799e+02 > t_step[79] = 7.9e-01 truth_out[0] = -1.3532e-05 truth_out[1] = > 1.1907e+02 > t_step[80] = 8.0e-01 truth_out[0] = -1.3476e-05 truth_out[1] = > 1.2014e+02 > t_step[81] = 8.1e-01 truth_out[0] = -1.3421e-05 truth_out[1] = > 1.2121e+02 > t_step[82] = 8.2e-01 truth_out[0] = -1.3366e-05 truth_out[1] = > 1.2228e+02 > t_step[83] = 8.3e-01 truth_out[0] = -1.3312e-05 truth_out[1] = > 1.2335e+02 > t_step[84] = 8.4e-01 truth_out[0] = -1.3258e-05 truth_out[1] = > 1.2441e+02 > t_step[85] = 8.5e-01 truth_out[0] = -1.3205e-05 truth_out[1] = > 1.2548e+02 > t_step[86] = 8.6e-01 truth_out[0] = -1.3153e-05 truth_out[1] = > 1.2655e+02 > t_step[87] = 8.7e-01 truth_out[0] = -1.3101e-05 truth_out[1] = > 1.2761e+02 > t_step[88] = 8.8e-01 truth_out[0] = -1.3050e-05 truth_out[1] = > 1.2868e+02 > t_step[89] = 8.9e-01 truth_out[0] = -1.2999e-05 truth_out[1] = > 1.2974e+02 > t_step[90] = 9.0e-01 truth_out[0] = -1.2949e-05 truth_out[1] = > 1.3081e+02 > t_step[91] = 9.1e-01 truth_out[0] = -1.2900e-05 truth_out[1] = > 1.3187e+02 > t_step[92] = 9.2e-01 truth_out[0] = -1.2851e-05 truth_out[1] = > 1.3293e+02 > t_step[93] = 9.3e-01 truth_out[0] = -1.2803e-05 truth_out[1] = > 1.3399e+02 > t_step[94] = 9.4e-01 truth_out[0] = -1.2755e-05 truth_out[1] = > 1.3505e+02 > t_step[95] = 9.5e-01 truth_out[0] = -1.2708e-05 truth_out[1] = > 1.3611e+02 > t_step[96] = 9.6e-01 truth_out[0] = -1.2661e-05 truth_out[1] = > 1.3717e+02 > t_step[97] = 9.7e-01 truth_out[0] = -1.2615e-05 truth_out[1] = > 1.3823e+02 > t_step[98] = 9.8e-01 truth_out[0] = -1.2569e-05 truth_out[1] = > 1.3929e+02 > t_step[99] = 9.9e-01 truth_out[0] = -1.2524e-05 truth_out[1] = > 1.4034e+02 > Compute output dual inner products > [0]PETSC ERROR: [1]PETSC ERROR: --------------------- Error Message > ------------------------------------ > [1]PETSC ERROR: Error in external library! > [1]PETSC ERROR: Error reported by MUMPS in numerical factorization phase: > INFO(1)=-1, INFO(2)=4 > ! > [1]PETSC ERROR: > ------------------------------------------------------------------------ > [1]PETSC ERROR: Petsc Release Version 3.3.0, Patch 4, Fri Oct 26 10:46:51 > CDT 2012 > [1]PETSC ERROR: See docs/changes/index.html for recent updates. > [1]PETSC ERROR: See docs/faq.html for hints about trouble shooting. > [1]PETSC ERROR: See docs/index.html for manual pages. > [1]PETSC ERROR: > ------------------------------------------------------------------------ > [1]PETSC ERROR: ./beam_2d-opt on a arch-linu named KLee-Linux by aeronova > Mon Dec 3 14:18:44 2012 > ..... > ----------------------------------------------------------------------------------------------------------------- > > If I change the run option as > > $PETSC_DIR/bin/mpirun -np 8 ./beam_2d-opt -ksp_type preonly > > then it looks working, but the output values seem wrong, and somehow the > output dual norm for the second output is zero: > > ----------------------------------------------------------------------------------------------------------------- > *** Warning, This code is untested, experimental, or likely to see future > API changes: src/reduced_basis/rb_parametrized.C, line 41, compiled Nov 27 > 2012 at 17:00:18 *** > Initializing training parameters with random training set... > Parameter load_Fx: log scaling = 0 > Parameter load_Fy: log scaling = 0 > > > RBConstruction parameters: > system name: RBTransientElasticity > constrained_problem: 0 > Nmax: 10 > Basis training error tolerance: 1e-06 > Aq operators attached: 1 > Fq functions attached: 2 > n_outputs: 2 > output 0, Q_l = 1 > output 1, Q_l = 1 > Number of parameters: 2 > Parameter load_Fx: Min = -5, Max = 5, value = 0 > Parameter load_Fy: Min = -5, Max = 5, value = 5 > n_training_samples: 100 > single-matrix mode? 0 > reuse preconditioner? 1 > use a relative error bound in greedy? 0 > write out data during basis training? 0 > quiet mode? 1 > > > TransientRBConstruction parameters: > Q_m: 1 > Number of time-steps: 100 > dt: 0.01 > euler_theta (time discretization parameter): 1 > delta_N (number of basis functions to add each POD-Greedy step): 1 > Using zero initial condition > > *** Warning, This code is deprecated, and likely to be removed in future > library versions! src/mesh/boundary_info.C, line 750, compiled Nov 27 2012 > at 16:59:26 *** > load_Fx: 0.000000e+00 > load_Fy: 1.000000e+00 > > t_step[0] = 0.0e+00 truth_out[0] = 0.0000e+00 truth_out[1] = 0.0000e+00 > t_step[1] = 1.0e-02 truth_out[0] = -1.6962e-04 truth_out[1] = 1.5122e-01 > t_step[2] = 2.0e-02 truth_out[0] = -2.3491e-04 truth_out[1] = 1.5378e-01 > t_step[3] = 3.0e-02 truth_out[0] = -2.9471e-04 truth_out[1] = 1.5459e-01 > t_step[4] = 4.0e-02 truth_out[0] = -3.3419e-04 truth_out[1] = 1.5489e-01 > t_step[5] = 5.0e-02 truth_out[0] = -3.5753e-04 truth_out[1] = 1.5500e-01 > t_step[6] = 6.0e-02 truth_out[0] = -3.7049e-04 truth_out[1] = 1.5505e-01 > t_step[7] = 7.0e-02 truth_out[0] = -3.7738e-04 truth_out[1] = 1.5507e-01 > t_step[8] = 8.0e-02 truth_out[0] = -3.8093e-04 truth_out[1] = 1.5508e-01 > t_step[9] = 9.0e-02 truth_out[0] = -3.8271e-04 truth_out[1] = 1.5508e-01 > t_step[10] = 1.0e-01 truth_out[0] = -3.8359e-04 truth_out[1] = > 1.5508e-01 > t_step[11] = 1.1e-01 truth_out[0] = -3.8401e-04 truth_out[1] = > 1.5508e-01 > t_step[12] = 1.2e-01 truth_out[0] = -3.8422e-04 truth_out[1] = > 1.5508e-01 > t_step[13] = 1.3e-01 truth_out[0] = -3.8431e-04 truth_out[1] = > 1.5508e-01 > t_step[14] = 1.4e-01 truth_out[0] = -3.8436e-04 truth_out[1] = > 1.5508e-01 > t_step[15] = 1.5e-01 truth_out[0] = -3.8438e-04 truth_out[1] = > 1.5508e-01 > t_step[16] = 1.6e-01 truth_out[0] = -3.8439e-04 truth_out[1] = > 1.5508e-01 > t_step[17] = 1.7e-01 truth_out[0] = -3.8440e-04 truth_out[1] = > 1.5508e-01 > t_step[18] = 1.8e-01 truth_out[0] = -3.8440e-04 truth_out[1] = > 1.5508e-01 > t_step[19] = 1.9e-01 truth_out[0] = -3.8440e-04 truth_out[1] = > 1.5508e-01 > t_step[20] = 2.0e-01 truth_out[0] = -3.8440e-04 truth_out[1] = > 1.5508e-01 > t_step[21] = 2.1e-01 truth_out[0] = -3.8440e-04 truth_out[1] = > 1.5508e-01 > t_step[22] = 2.2e-01 truth_out[0] = -3.8440e-04 truth_out[1] = > 1.5508e-01 > t_step[23] = 2.3e-01 truth_out[0] = -3.8440e-04 truth_out[1] = > 1.5508e-01 > t_step[24] = 2.4e-01 truth_out[0] = -3.8440e-04 truth_out[1] = > 1.5508e-01 > t_step[25] = 2.5e-01 truth_out[0] = -3.8440e-04 truth_out[1] = > 1.5508e-01 > t_step[26] = 2.6e-01 truth_out[0] = -3.8440e-04 truth_out[1] = > 1.5508e-01 > t_step[27] = 2.7e-01 truth_out[0] = -3.8440e-04 truth_out[1] = > 1.5508e-01 > t_step[28] = 2.8e-01 truth_out[0] = -3.8440e-04 truth_out[1] = > 1.5508e-01 > t_step[29] = 2.9e-01 truth_out[0] = -3.8440e-04 truth_out[1] = > 1.5508e-01 > t_step[30] = 3.0e-01 truth_out[0] = -3.8440e-04 truth_out[1] = > 1.5508e-01 > t_step[31] = 3.1e-01 truth_out[0] = -3.8440e-04 truth_out[1] = > 1.5508e-01 > t_step[32] = 3.2e-01 truth_out[0] = -3.8440e-04 truth_out[1] = > 1.5508e-01 > t_step[33] = 3.3e-01 truth_out[0] = -3.8440e-04 truth_out[1] = > 1.5508e-01 > t_step[34] = 3.4e-01 truth_out[0] = -3.8440e-04 truth_out[1] = > 1.5508e-01 > t_step[35] = 3.5e-01 truth_out[0] = -3.8440e-04 truth_out[1] = > 1.5508e-01 > t_step[36] = 3.6e-01 truth_out[0] = -3.8440e-04 truth_out[1] = > 1.5508e-01 > t_step[37] = 3.7e-01 truth_out[0] = -3.8440e-04 truth_out[1] = > 1.5508e-01 > t_step[38] = 3.8e-01 truth_out[0] = -3.8440e-04 truth_out[1] = > 1.5508e-01 > t_step[39] = 3.9e-01 truth_out[0] = -3.8440e-04 truth_out[1] = > 1.5508e-01 > t_step[40] = 4.0e-01 truth_out[0] = -3.8440e-04 truth_out[1] = > 1.5508e-01 > t_step[41] = 4.1e-01 truth_out[0] = -3.8440e-04 truth_out[1] = > 1.5508e-01 > t_step[42] = 4.2e-01 truth_out[0] = -3.8440e-04 truth_out[1] = > 1.5508e-01 > t_step[43] = 4.3e-01 truth_out[0] = -3.8440e-04 truth_out[1] = > 1.5508e-01 > t_step[44] = 4.4e-01 truth_out[0] = -3.8440e-04 truth_out[1] = > 1.5508e-01 > t_step[45] = 4.5e-01 truth_out[0] = -3.8440e-04 truth_out[1] = > 1.5508e-01 > t_step[46] = 4.6e-01 truth_out[0] = -3.8440e-04 truth_out[1] = > 1.5508e-01 > t_step[47] = 4.7e-01 truth_out[0] = -3.8440e-04 truth_out[1] = > 1.5508e-01 > t_step[48] = 4.8e-01 truth_out[0] = -3.8440e-04 truth_out[1] = > 1.5508e-01 > t_step[49] = 4.9e-01 truth_out[0] = -3.8440e-04 truth_out[1] = > 1.5508e-01 > t_step[50] = 5.0e-01 truth_out[0] = -3.8440e-04 truth_out[1] = > 1.5508e-01 > t_step[51] = 5.1e-01 truth_out[0] = -3.8440e-04 truth_out[1] = > 1.5508e-01 > t_step[52] = 5.2e-01 truth_out[0] = -3.8440e-04 truth_out[1] = > 1.5508e-01 > t_step[53] = 5.3e-01 truth_out[0] = -3.8440e-04 truth_out[1] = > 1.5508e-01 > t_step[54] = 5.4e-01 truth_out[0] = -3.8440e-04 truth_out[1] = > 1.5508e-01 > t_step[55] = 5.5e-01 truth_out[0] = -3.8440e-04 truth_out[1] = > 1.5508e-01 > t_step[56] = 5.6e-01 truth_out[0] = -3.8440e-04 truth_out[1] = > 1.5508e-01 > t_step[57] = 5.7e-01 truth_out[0] = -3.8440e-04 truth_out[1] = > 1.5508e-01 > t_step[58] = 5.8e-01 truth_out[0] = -3.8440e-04 truth_out[1] = > 1.5508e-01 > t_step[59] = 5.9e-01 truth_out[0] = -3.8440e-04 truth_out[1] = > 1.5508e-01 > t_step[60] = 6.0e-01 truth_out[0] = -3.8440e-04 truth_out[1] = > 1.5508e-01 > t_step[61] = 6.1e-01 truth_out[0] = -3.8440e-04 truth_out[1] = > 1.5508e-01 > t_step[62] = 6.2e-01 truth_out[0] = -3.8440e-04 truth_out[1] = > 1.5508e-01 > t_step[63] = 6.3e-01 truth_out[0] = -3.8440e-04 truth_out[1] = > 1.5508e-01 > t_step[64] = 6.4e-01 truth_out[0] = -3.8440e-04 truth_out[1] = > 1.5508e-01 > t_step[65] = 6.5e-01 truth_out[0] = -3.8440e-04 truth_out[1] = > 1.5508e-01 > t_step[66] = 6.6e-01 truth_out[0] = -3.8440e-04 truth_out[1] = > 1.5508e-01 > t_step[67] = 6.7e-01 truth_out[0] = -3.8440e-04 truth_out[1] = > 1.5508e-01 > t_step[68] = 6.8e-01 truth_out[0] = -3.8440e-04 truth_out[1] = > 1.5508e-01 > t_step[69] = 6.9e-01 truth_out[0] = -3.8440e-04 truth_out[1] = > 1.5508e-01 > t_step[70] = 7.0e-01 truth_out[0] = -3.8440e-04 truth_out[1] = > 1.5508e-01 > t_step[71] = 7.1e-01 truth_out[0] = -3.8440e-04 truth_out[1] = > 1.5508e-01 > t_step[72] = 7.2e-01 truth_out[0] = -3.8440e-04 truth_out[1] = > 1.5508e-01 > t_step[73] = 7.3e-01 truth_out[0] = -3.8440e-04 truth_out[1] = > 1.5508e-01 > t_step[74] = 7.4e-01 truth_out[0] = -3.8440e-04 truth_out[1] = > 1.5508e-01 > t_step[75] = 7.5e-01 truth_out[0] = -3.8440e-04 truth_out[1] = > 1.5508e-01 > t_step[76] = 7.6e-01 truth_out[0] = -3.8440e-04 truth_out[1] = > 1.5508e-01 > t_step[77] = 7.7e-01 truth_out[0] = -3.8440e-04 truth_out[1] = > 1.5508e-01 > t_step[78] = 7.8e-01 truth_out[0] = -3.8440e-04 truth_out[1] = > 1.5508e-01 > t_step[79] = 7.9e-01 truth_out[0] = -3.8440e-04 truth_out[1] = > 1.5508e-01 > t_step[80] = 8.0e-01 truth_out[0] = -3.8440e-04 truth_out[1] = > 1.5508e-01 > t_step[81] = 8.1e-01 truth_out[0] = -3.8440e-04 truth_out[1] = > 1.5508e-01 > t_step[82] = 8.2e-01 truth_out[0] = -3.8440e-04 truth_out[1] = > 1.5508e-01 > t_step[83] = 8.3e-01 truth_out[0] = -3.8440e-04 truth_out[1] = > 1.5508e-01 > t_step[84] = 8.4e-01 truth_out[0] = -3.8440e-04 truth_out[1] = > 1.5508e-01 > t_step[85] = 8.5e-01 truth_out[0] = -3.8440e-04 truth_out[1] = > 1.5508e-01 > t_step[86] = 8.6e-01 truth_out[0] = -3.8440e-04 truth_out[1] = > 1.5508e-01 > t_step[87] = 8.7e-01 truth_out[0] = -3.8440e-04 truth_out[1] = > 1.5508e-01 > t_step[88] = 8.8e-01 truth_out[0] = -3.8440e-04 truth_out[1] = > 1.5508e-01 > t_step[89] = 8.9e-01 truth_out[0] = -3.8440e-04 truth_out[1] = > 1.5508e-01 > t_step[90] = 9.0e-01 truth_out[0] = -3.8440e-04 truth_out[1] = > 1.5508e-01 > t_step[91] = 9.1e-01 truth_out[0] = -3.8440e-04 truth_out[1] = > 1.5508e-01 > t_step[92] = 9.2e-01 truth_out[0] = -3.8440e-04 truth_out[1] = > 1.5508e-01 > t_step[93] = 9.3e-01 truth_out[0] = -3.8440e-04 truth_out[1] = > 1.5508e-01 > t_step[94] = 9.4e-01 truth_out[0] = -3.8440e-04 truth_out[1] = > 1.5508e-01 > t_step[95] = 9.5e-01 truth_out[0] = -3.8440e-04 truth_out[1] = > 1.5508e-01 > t_step[96] = 9.6e-01 truth_out[0] = -3.8440e-04 truth_out[1] = > 1.5508e-01 > t_step[97] = 9.7e-01 truth_out[0] = -3.8440e-04 truth_out[1] = > 1.5508e-01 > t_step[98] = 9.8e-01 truth_out[0] = -3.8440e-04 truth_out[1] = > 1.5508e-01 > t_step[99] = 9.9e-01 truth_out[0] = -3.8440e-04 truth_out[1] = > 1.5508e-01 > Compute output dual inner products > output_dual_innerprods[0][0] = 8.3935e+01 > output_dual_innerprods[1][0] = 0.0000e+00 > > ---- Performing Greedy basis enrichment ---- > > ---- Basis dimension: 0 ---- > Performing RB solves on training set > Maximum (absolute) error bound is 1.8090e+00 > > Performing truth solve at parameter: > load_Fx: 4.971986e+00 > load_Fy: 4.072318e+00 > ..... > ----------------------------------------------------------------------------------------------------------------- > > I'm afraid the problem has something to do with using proper solver > options, and I'd appreciate any comments/suggestions. > > K. Lee. > ------------------------------------------------------------------------------ > Keep yourself connected to Go Parallel: > BUILD Helping you discover the best ways to construct your parallel projects. > http://goparallel.sourceforge.net > _______________________________________________ > Libmesh-users mailing list > [email protected] > https://lists.sourceforge.net/lists/listinfo/libmesh-users ------------------------------------------------------------------------------ Keep yourself connected to Go Parallel: BUILD Helping you discover the best ways to construct your parallel projects. http://goparallel.sourceforge.net _______________________________________________ Libmesh-users mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/libmesh-users
