Reduced basis implementation for linear evolution equations.
Classes | |
class | DetailedData |
class generating the reduced basis space for the LinEvol problem with a Greedy algorithm. More... | |
class | DetailedModel |
Detailed model for a linear evolution problem with a Finite volume discretization. More... | |
class | ReducedData |
Reduced data implementation for linear evolution problems with finite volume discretizations. More... | |
class | ReducedModel |
reduced model for linear evolution problems as given by a LinEvol.DetailedModel. More... | |
Functions | |
function ModelDescr descr = | descr_default () |
function initializing some fields of a lin-evol model More... | |
function ModelDescr descr = LinEvol.descr_default | ( | ) |
function initializing some fields of a lin-evol model
descr | descr |
rb_problem_type —
'LinEvol' L_I_inv_norm_bound —
1
L_E_norm_bound —
1
operators_ptr —
fv_operators_implicit_explicit() operators_diff_implicit —
fv_operators_zero() operators_diff_explicit —
fv_operators_zero() operators_conv_implicit —
fv_operators_zero() operators_conv_explicit —
fv_operators_zero() operators_neumann_explicit —
fv_operators_zero() operators_neumann_implicit —
fv_operators_zero() plot —
fv_plot() get_inner_product_matrix —
extracts inner product matrix from model data. inner_product —
inner product algorithm mass_matrix —
fv_mass_matrix() divclean_mode —
0
l2_error_sequence_algorithm —
fv_l2_error() linfty_error_sequence_algorithm —
fv_linfty_error() error_algorithm —
fv_error() error_norm —
'l2' error_estimation —
1
affinely_decomposed —
true
compute_output_functional —
false
data_const_in_time —
1
lxf_lambda —
1.0194e+003
enable_error_estimator —
1
Definition at line 18 of file descr_default.m.