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Re: [Libmesh-users] training problem with an RB transient beam model
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From: David K. <dkn...@se...> - 2012-12-04 01:31:27
|
I doubt the solver is the problem here. There's no reason a direct
solver should have trouble with the Poisson solves for the "output dual
norms". If you remove the outputs for now, does everything work OK? If
so, I'd have another look at how you defined your outputs. It is strange
that you got a zero norm in your results below.
On 12/03/2012 08:22 PM, Kyunghoon Lee wrote:
> I do have attached L2 as follows:
>
> set_L2_assembly(transient_elasticity_assembly_expansion.M0_assembly);
>
> and M0_assembly is from the below
>
> struct M0: ElemAssembly {
> // L2 matrix
> virtual void interior_assembly(FEMContext &c) {
>
> const unsigned int u_var = 0;
>
> const std::vector<Real> &JxW =
> c.element_fe_var[u_var]->get_JxW();
>
> const std::vector<std::vector<Real> >& phi =
> c.element_fe_var[u_var]->get_phi();
>
> // The number of local degrees of freedom in each variable
> const unsigned int n_u_dofs = c.dof_indices_var[u_var].size();
>
> // Now we will build the affine operator
> unsigned int n_qpoints = c.element_qrule->n_points();
>
> for (unsigned int qp=0; qp<n_qpoints; qp++) {
> for (unsigned int i=0; i<n_u_dofs; i++) {
> for (unsigned int j=0; j<n_u_dofs; j++) {
> c.elem_jacobian(i,j) += JxW[qp] *
> phi[j][qp]*phi[i][qp];
> }
> }
> } // end of qp loop
>
> } // end of interior_assembly
> };
>
> K. Lee.
>
> On Tue, Dec 4, 2012 at 9:00 AM, David Knezevic
> <dkn...@se... <mailto:dkn...@se...>> wrote:
>
> My guess is that you haven't attached an "L2" matrix to the system?
>
> If that's the case, refer to reduced_basis_ex3 about how to do that.
>
> David
>
>
>
> On 12/03/2012 07:58 PM, Kyunghoon Lee wrote:
> > Hi David,
> >
> > After running
> >
> > gdb ./beam_2d-dbg
> >
> > and
> >
> > run -ksp_type preonly -pc_type lu -pc_factor_mat_solver_package
> mumps
> >
> > in gdb. I got the following message:
> >
> > ===================
> > .....
> > Compute output dual inner products
> > [0]PETSC ERROR: --------------------- Error Message
> > ------------------------------------
> > [0]PETSC ERROR: Error in external library!
> > [0]PETSC ERROR: Error reported by MUMPS in numerical
> factorization phase:
> > INFO(1)=-9, INFO(2)=1327859
> > !
> > [0]PETSC ERROR:
> >
> ------------------------------------------------------------------------
> > [0]PETSC ERROR: Petsc Release Version 3.3.0, Patch 4, Fri Oct 26
> 10:46:51
> > CDT 2012
> > [0]PETSC ERROR: See docs/changes/index.html for recent updates.
> > [0]PETSC ERROR: See docs/faq.html for hints about trouble shooting.
> > [0]PETSC ERROR: See docs/index.html for manual pages.
> > [0]PETSC ERROR:
> >
> ------------------------------------------------------------------------
> > [0]PETSC ERROR:
> >
> /home/aeronova/Development/RB_models/beam/beam_2d_iso_plane_strain_basic1_transient/offline_model/beam_2d-dbg
> > on a arch-linu named KLee-Linux by aeronova Tue Dec 4 08:49:23 2012
> > [0]PETSC ERROR: Libraries linked from
> >
> /home/aeronova/Development/local/lib/petsc/x86_64_linux/3.3_p4_real/lib
> > [0]PETSC ERROR: Configure run at Fri Nov 23 07:53:58 2012
> > [0]PETSC ERROR: Configure options
> >
> --prefix=/home/aeronova/Development/local/lib/petsc/x86_64_linux/3.3_p4_real
> >
> --download-mpich=/home/aeronova//Development/local/share/petsc/mpich2-1.4.1p1.tar.gz
> > --download-superlu=1 --download-blacs=1 --download-metis=1
> > --download-parmetis=1 --download-scalapack=1 --download-mumps=1
> > --download-umfpack=1 --with-clanguage=C++ --with-shared-libraries=1
> > --with-debugging=1
> > [0]PETSC ERROR:
> >
> ------------------------------------------------------------------------
> > [0]PETSC ERROR: MatFactorNumeric_MUMPS() line 670 in
> >
> /home/aeronova/Development/local/share/petsc/3.3-p4/src/mat/impls/aij/mpi/mumps/mumps.c
> > [0]PETSC ERROR: MatLUFactorNumeric() line 2803 in
> >
> /home/aeronova/Development/local/share/petsc/3.3-p4/src/mat/interface/matrix.c
> > [0]PETSC ERROR: PCSetUp_LU() line 160 in
> >
> /home/aeronova/Development/local/share/petsc/3.3-p4/src/ksp/pc/impls/factor/lu/lu.c
> > [0]PETSC ERROR: PCSetUp() line 832 in
> >
> /home/aeronova/Development/local/share/petsc/3.3-p4/src/ksp/pc/interface/precon.c
> > [0]PETSC ERROR: KSPSetUp() line 278 in
> >
> /home/aeronova/Development/local/share/petsc/3.3-p4/src/ksp/ksp/interface/itfunc.c
> > [0]PETSC ERROR: KSPSolve() line 402 in
> >
> /home/aeronova/Development/local/share/petsc/3.3-p4/src/ksp/ksp/interface/itfunc.c
> > [0]PETSC ERROR: solve() line 678 in
> > "unknowndirectory/"src/solvers/petsc_linear_solver.C
> > application called MPI_Abort(comm=0x84000000, 76) - process 0
> > [unset]: aborting job:
> > application called MPI_Abort(comm=0x84000000, 76) - process 0
> > [Inferior 1 (process 20258) exited with code 0114]
> > (gdb) bt
> > No stack.
> >
> > ===================
> >
> > K. Lee.
> >
> > On Mon, Dec 3, 2012 at 11:16 PM, David Knezevic
> > <dkn...@se...
> <mailto:dkn...@se...>>wrote:
> >
> >> 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
> >>> Lib...@li...
> <mailto:Lib...@li...>
> >>> 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
> >> Lib...@li...
> <mailto:Lib...@li...>
> >> https://lists.sourceforge.net/lists/listinfo/libmesh-users
> >>
> >
> ------------------------------------------------------------------------------
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> > Remotely access PCs and mobile devices and provide instant support
> > Improve your efficiency, and focus on delivering more value-add
> services
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> > _______________________________________________
> > Libmesh-users mailing list
> > Lib...@li...
> <mailto:Lib...@li...>
> > https://lists.sourceforge.net/lists/listinfo/libmesh-users
>
>
> ------------------------------------------------------------------------------
> LogMeIn Rescue: Anywhere, Anytime Remote support for IT. Free Trial
> Remotely access PCs and mobile devices and provide instant support
> Improve your efficiency, and focus on delivering more value-add
> services
> Discover what IT Professionals Know. Rescue delivers
> http://p.sf.net/sfu/logmein_12329d2d
> _______________________________________________
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> Lib...@li...
> <mailto:Lib...@li...>
> https://lists.sourceforge.net/lists/listinfo/libmesh-users
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>
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