rbmatlab  1.13.10
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test Directory Reference
Directory dependency graph for test:
test

Files

file  gradient_approx_matrix_common_settings.m [code]
 
file  test_all.m [code]
 
file  test_basisgen_init.m [code]
 This test initializes different greedy algorithms for the generation of reduced basis and empirical operator interpolation spaces.
 
file  test_cacheable_object.m [code]
 test for the CacheableObject class
 
file  test_checkpointing.m [code]
 executes some tests for the Checkpoint class
 
file  test_data_tree.m [code]
 
file  test_ei_detailed.m [code]
 Tests for the generation of an empirical operator interpolant.
 
file  test_fail.m [code]
 stupid script for producing an error for testing the try catch functionality
 
file  test_gradient_approx.m [code]
 performing a test of the gradient_approx routine
 
file  test_gradient_approx_matrix.m [code]
 performing a test of the gradient_approx routine
 
file  test_indexed_node.m [code]
 Consistency tests for the DataTree.IdMapNode class.
 
file  test_ldg_derivative.m [code]
 
file  test_ldg_orthogonality.m [code]
 
file  test_ldgfunc.m [code]
 
file  test_lebesgue.m [code]
 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 [code]
 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 [code]
 routines. In particular simulation without diffusion must be 10 times faster!! returns 1, if test is OK, 0 otherwise
 
file  test_orthonormalize.m [code]
 generating a time-sequence of data and orthogonalizing this. returns 1, if test is OK, 0 otherwise
 
file  test_p_part.m [code]
 Test of p-partition functionality.
 
file  test_porsche.m [code]
 
file  test_power_vector2.m [code]
 function testing the powervectors and its derivatives, i.e. check whether finite difference approximates the derivative.
 
file  test_rb_basisgen.m [code]
 test showing a simple greedy basis generation
 
file  test_rb_lin_evol.m [code]
 
file  test_rb_local_ext.m [code]
 interpolation point are selected during the reduced_data generation phase.
 
file  test_rb_richards_fv.m [code]
 
file  test_stochastic_assessment.m [code]
 consistency check for the StochasticAssessment helper classes
 
file  test_subgrid_operators.m [code]
 
file  test_two_phase_datafunc.m [code]
 performing a test of the correct implementation of derivatives in TwoPhaseData class.
 
file  test_twophase_jacobian.m [code]
 performing a test of the correct implementation of derivatives in TwoPhaseData class.
 
file  test_xpart_map.m [code]
 test for the XPartMap class