rbmatlab
1.13.10
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Files | |
file | test_basisgen_init.m |
This test initializes different greedy algorithms for the generation of reduced basis and empirical operator interpolation spaces. | |
file | test_cacheable_object.m |
test for the CacheableObject class | |
file | test_checkpointing.m |
executes some tests for the Checkpoint class | |
file | test_ei_detailed.m |
Tests for the generation of an empirical operator interpolant. | |
file | test_fail.m |
stupid script for producing an error for testing the try catch functionality | |
file | test_gradient_approx.m |
performing a test of the gradient_approx routine | |
file | test_gradient_approx_matrix.m |
performing a test of the gradient_approx routine | |
file | test_indexed_node.m |
Consistency tests for the DataTree.IdMapNode class. | |
file | test_lebesgue.m |
this is a script showing the ei_detailed construction for a function which empirically interpolated turns out to have the worst possible Lebesgue constant \(\Lambda = \max_{x} \sum_{m=1}^M |\xi_m(x)| = 2^M - 1\) | |
file | test_linear_convection.m |
u_t + b*Du + cu = 0, u(x,0) = u0. u0 is 1 inside a box and 0 otherwise. This box gets transported in direction b with a slowing term c. returns 1, if error to exact solution is "small enough". returns 0 otherwise | |
file | test_matlab_convdiff.m |
routines. In particular simulation without diffusion must be 10 times faster!! returns 1, if test is OK, 0 otherwise | |
file | test_orthonormalize.m |
generating a time-sequence of data and orthogonalizing this. returns 1, if test is OK, 0 otherwise | |
file | test_p_part.m |
Test of p-partition functionality. | |
file | test_power_vector2.m |
function testing the powervectors and its derivatives, i.e. check whether finite difference approximates the derivative. | |
file | test_rb_basisgen.m |
test showing a simple greedy basis generation | |
file | test_rb_local_ext.m |
interpolation point are selected during the reduced_data generation phase. | |
file | test_stochastic_assessment.m |
consistency check for the StochasticAssessment helper classes | |
file | test_two_phase_datafunc.m |
performing a test of the correct implementation of derivatives in TwoPhaseData class. | |
file | test_twophase_jacobian.m |
performing a test of the correct implementation of derivatives in TwoPhaseData class. | |
file | test_xpart_map.m |
test for the XPartMap class | |