File List

Here is a list of all documented files with brief descriptions:

[detail level 1234567]

datafunc
+TwoPhaseData
BrooksCorey.m
Interface.m
Michel.m
MichelPrsLin.m
MichelSimple.m
auxiliary
cache_velocity_matrixfile_extract.m
check_or_generate_velocity_matrixfile.m
clear_all_caches.m	This function clears the caches generated for caching of gradient data in evolution schemes
velocity_matrixfile_extract.m
conv_flux
conv_flux_affine_decomposed.m	Function evaluating a function in the list of global coordinates specified in the columns of glob
conv_flux_brooks_corey.m	Convective flux for Buckley-Leverett problem with Brooks-Corey functions
conv_flux_brooks_corey_derivative.m	Convective flux for Buckley-Leverett problem with Brooks-Corey functions
conv_flux_brooks_corey_simple.m	Convective flux for Buckley-Leverett problem with Brooks-Corey functions
conv_flux_brooks_corey_simple_derivative.m	Convective flux for Buckley-Leverett problem with Brooks-Corey functions
conv_flux_buckley_leverett.m	Convective flux for Buckley-Leverett problem
conv_flux_buckley_leverett_derivative.m
conv_flux_burgers.m	Function computing the convective flux of a Burgers problem
conv_flux_burgers_parabola.m	Convective flux of a Burgers problem
conv_flux_forward_difference.m	Function computing the derivative of a convective flux by forward difference
conv_flux_gdl2.m	Function computing the convective flux \(f(u)\) of a convection problem
conv_flux_linear.m	Function computing the convective flux \(f(u) = v u\) of a convection problem
conv_flux_to_be_distributed_in_single_files.m
conv_flux_velocity_matrixfile.m	Function computing the convective flux \(f(u)\) of a convection problem
diffusivity
diffusivity_buckley_leverett.m
diffusivity_buckley_leverett_derivative.m
diffusivity_buckley_leverett_simple.m
diffusivity_buckley_leverett_simple_derivative.m
diffusivity_composite.m
diffusivity_composite_components.m	Glob is a npoints times 2 matrix
diffusivity_exponential.m
diffusivity_exponential_derivative.m
diffusivity_homogeneous.m
diffusivity_linear_gradient2.m
diffusivity_richards_nonlinear.m
diffusivity_zero.m
diffusivity_tensor
diffusivity_tensor_richards.m
diffusivity_tensor_zero.m
dirichlet_values
dirichlet_values_affine_decomposed.m
dirichlet_values_homogeneous.m	Function computing homogeneous dirichlet-values by pointwise evaluations
dirichlet_values_leftright.m
dirichlet_values_quarter_of_five.m
dirichlet_values_uplow.m
dirichlet_values_weighted_boxes.m
dirichlet_values_weighted_boxes_coefficients.m
dirichlet_values_weighted_boxes_components.m
init_values
exact_function_heat_equation.m
exact_function_plaplace.m	This is the first function from http://eqworld.ipmnet.ru/en/solutions/npde/npde1201.pdf
init_values_affine_decomposed.m
init_values_as_dirichlet.m
init_values_bars.m
init_values_bl.m
init_values_blobs.m
init_values_gradient_box.m	Init value function with a gradient box profile in Y-direction as output
init_values_grey_image.m
init_values_homogeneous.m
init_values_old_to_be_split_in_files.m
init_values_transformed_blobs.m
init_values_transformed_blobs_richards.m
init_values_wave.m
init_values_waveproduct.m	Product of two sinus waves in both coordinate directions
neumann_values
neumann_values_affine_decomposed.m
neumann_values_homogeneous.m
neumann_values_outflow.m
neumann_values_pressure_gdl.m
neumann_values_rightflow.m
neumann_values_zero.m
output_functional
output_function_box_mean.m
output_functional_volume_integral.m
velocity
velocity_affine_decomposed.m
velocity_constant.m
velocity_parabola.m	Parabolic velocity field
velocity_richards.m
velocity_to_be_distributed_in_single_files.m
velocity_transport.m
conv_flux.m
conv_flux_linearization.m
diffusivity.m
diffusivity_cached.m	Compute diffusivity tensor for geometry transformation and store results in a cache
dirichlet_values.m	UDIRICHLET = DIRICHLET_VALUES([X],[Y], MODEL) Examples dirichlet_values([0,1,2],[1,1,1],struct(name_dirichlet_values, homogeneous, ... c_dir, 1)) dirichlet_values([0:0.1:1],[0],struct(name_dirichlet_values, xstripes, ... c_dir, [0 1 2], ... dir_borders, [0.3 0.6])) dirichlet_values([0:0.1:1],[0],struct(name_dirichlet_values, box, ... c_dir, 1, ... dir_box_xrange, [0.3 0.6], ... dir_box_yrange, [-0.1 0.1]))
eval_affine_decomp.m
geometry_transformation.m
gradient_approx.m
gradient_approx2.m
gradient_approx_matrix.m
init_values.m
inv_geo_trans_derivative.m	Computes entries of a geometry transformation function's inverse transposed jacobian
myspline.m
neuman_values.m
output_functional.m
output_functional_boundary_integral.m
reaction.m
velocity.m
demos
demo_adaptive_basisgen.m	Demo_adaptive_basisgen
demo_cubegrid.m	Demo_cubegrid small script demonstrating the possibilities of the cubegrid class
demo_detailed_gui.m
demo_dom_dec.m
demo_edge_quad.m	Demonstration of the edge-quadratures over a grid
demo_elastic_membrane.m	Demo of variational inequalities reduced order model
demo_explicit_FV.m	Demo of a explicit FV scheme for advection-diffusion
demo_fem.m	Demo of a finite element simulation
demo_femdiscfunc.m
demo_interpol.m
demo_ldgfunc.m
demo_lin_ds.m
demo_quadratures.m	Small script demonstrating interval integration of polynomials of degree pdeg with quadratures of degreed qdeg
demo_rb_burgers_fv.m	Small script demonstrating the RB-approach for nonlinear examples
demo_rb_error_gui.m
demo_rb_explicit_evol.m	Small script demonstrating the RB-approach for examples by interpolation of the explicit operator The linear advection-diffusion example of the lin-evol setting is used, but now the explicit discretization of the convection is realized by empirical interpolation
demo_rb_lin_evol_oop.m	Small collection of RBmatlab's rb-simulation abilities please inspect the source-file during execution, as the main purpose is to demonstrate the possibilities of RBmatlab's rb-philosophy
demo_rb_newton.m	Demo_rb_newton
demo_rb_nonlin_symmetry.m	Demo_rb_nonlin_symmetry
demo_rb_richards_fv.m	A small script demonstrating the online phase of the two models from the diploma thesis "Reduzierte-Basis Methoden für unges\"{a}ttigte Grundwasserstr"{o}mungen"
demo_rb_riemann_burgers.m	Demo_rb_riemann_burgers
demo_rb_simtech.m	Demo_rb_simtech demo starting a simtech LOGO in a fuelcell. Does not fully work yet... instead perhaps update the generating script simtech_fuelcall_gdl...
demo_rb_steps_oop.m	Small collection of RBmatlab's rb-simulation abilities please inspect the source-file during execution, as the main purpose is to demonstrate the possibilities of RBmatlab's rb-philosophy
demo_rb_steps_struct.m	Small collection of RBmatlab's rb-simulation abilities please inspect the source-file during execution, as the main purpose is to demonstrate the possibilities of RBmatlab's rb-philosophy
demo_rectgrid.m	Small script demonstrating the possibilities of the rectgrid class
demo_thermalblock.m	Demo_thermalblock
demo_triagrid.m	Small script demonstrating the possibilities of the triagrid class
demo_vi.m
rbmatlabdemos.m	Allows interactive choice of some rbmatlab demos subgroups
rbmatlabdemos_detailed.m	Interactive gui for some high dimensional simulation demos
rbmatlabdemos_discfunc.m	Interactive gui for some discrete function demos
rbmatlabdemos_elementary.m	Interactive gui for some elementary (boring) demos
rbmatlabdemos_grid.m	Interactive gui for some grid demos
rbmatlabdemos_rb_part1.m	Interactive gui for some RB demos
rbmatlabdemos_rb_part2.m	Interactive gui for some RB demos
discfunc
common
basis_orthonormalization_matrix.m
copy_model_data_to_plot_params.m	Helper function copying extracting relevant information for plot_params from the model
copy_model_descr_to_plot_params.m
df_func_difference_sqr.m
disc_init_values.m
func_phi_product.m
inner_product.m
inner_product_matrix.m
l2project.m
plot_discfunc.m
plot_sequence.m	Plotting a sequence of data slices on polygonal 2d grid (constructed from params if empty) and providing a slider for changing between the data slices
plot_subplot_sequence.m	Plotting a sequence of data slices on polygonal 2d grid (constructed from params if empty) and providing a slider for changing between the data slices
fem
evaluate_gradient.m
fem_basis_weight_matrix.m
fem_evaluate.m
fem_evaluate_basis.m
fem_evaluate_basis_function.m
fem_evaluate_scalar_basis_derivative.m
fem_evaluate_scalar_basis_function_derivative.m
fem_global_dof_index.m	Function computing the local-to-global dof map of a fem discrete function
fem_h10_boundary_inner_product_matrix.m	Fem_h10_boundary_inner_product_matrix(df_info,elind,edgeind)
fem_h10_norm.m
fem_h1_norm.m
fem_interpol_global.m
fem_interpol_local.m
fem_l2_boundary_inner_product_matrix.m	Fem_l2_boundary_inner_product_matrix(df_info,elind,edgeind)
fem_l2_norm.m
fem_laplace.m
fem_matrix_adv_integral_kernel.m
fem_matrix_boundary_part_assembly.m	Auxiliary function assembling the boundary integral components of system matrix A note: cell-array valued kernels can be integrated
fem_matrix_diff_integral_kernel.m
fem_matrix_neumann_integral_kernel.m
fem_matrix_parts_assembly.m
fem_matrix_reac_integral_kernel.m
fem_matrix_robin_integral_kernel.m
fem_matrix_volume_part_assembly.m
fem_ndofs.m
fem_ndofs_per_element.m
fem_operators.m
fem_operators_output.m
fem_operators_output_boundary_integral.m
fem_operators_output_volume_integral.m
fem_plot_dofmap.m
fem_rhs_boundary_part_assembly.m
fem_rhs_neumann_integral_kernel.m
fem_rhs_parts_assembly.m
fem_rhs_robin_integral_kernel.m
fem_rhs_volume_part_assembly.m
fem_scalar_component.m
femdiscfunc.m
feminfo.m
H10_scalar_product_matrix.m	This routine computes the stiffness matrix for a constant c=1. K_one = int_omega (grad phi_j) . grad phi_i dx
lagrange_nodes_edges.m
lagrange_nodes_edges_llcoord.m
lagrange_nodes_lcoord.m
fv
Contents.m	FV
fv_coercivity_bound.m
fv_conv_diff.m
fv_conv_diff_explicit_space.m	Fv_conv_diff_explicit_space(U,NU_ind,grid,model)
fv_conv_diff_step.m
fv_conv_explicit_space.m	Fv_conv_explicit_space(U,NU_ind,grid,params) function applying an FV-space-discretization operator starting from old values U corresponding to the geometry given in grid producing a new vector of elementwise scalars NU but only on for the subelements with numbers given in NU_ind. If NU_ind is empty, all new values NU are determined, i.e. length(NU) = length(U) = grid.nelements
fv_conv_flux_linearization_matrix.m
fv_conv_flux_matrix.m	Function computing the flux matrix of a convection problem. simply reformatting the grid data suitably for pointwise evaluation by conv_flux. As evaluation points the points of suitable gauss-quadratures are chosen. The degree can be chosen in the model structure
fv_diff_explicit_space.m	Fv_diff_explicit_space(U,NU_ind,grid,params)
fv_element_mean.m	Function computing the element averages of a discrete function U in the grid elements with indices I. Most arguments are dummy, but required for more general discrete functions, e.g. p1, etc
fv_error.m
fv_estimate_coercivity_alpha.m
fv_evaluate_basis.m
fv_explicit_space.m
fv_frechet_operators_conv_flux_waterflow_upwind.m	Computes a jacobian of implicit non-linear convective contributions to time evolution matrices at a point (S,U)
fv_frechet_operators_diff_flux_pressure_gradient.m	Computes a jacobian of implicit non-linear convective contributions to time evolution matrices at a point (P,S)
fv_frechet_operators_diff_implicit_gradient.m	Computes a jacobian of implicit non-linear diffusion contributions to time evolution matrices at a point U
fv_frechet_operators_diff_implicit_gradient2.m	Computes a jacobian of implicit non-linear diffusion contributions to time evolution matrices at a point U
fv_frechet_operators_diff_implicit_gradient3.m	Computes a jacobian of implicit non-linear diffusion contributions to time evolution matrices at a point U
fv_h1_inner_product_matrix.m	Function computing the h1 inner product matrix for fv-functions on the grid
fv_implicit_space.m	Fv_implicit_space(model, model_data, U, [NU_ind])
fv_init_values.m
fv_inner_product.m
fv_inner_product_matrix.m
fv_l1l2_error.m
fv_l2_error.m	Function computing the l2-error between the two fv-functions or function sequences in U1,U2
fv_l2l2_error.m
fv_l2project.m	Func to the fv space. A quadrature of degree qdeg is used
fv_linfty_error.m	Compute the infinity-norm error between two Dof vectors
fv_local_mass_matrix_rect.m
fv_local_mass_matrix_tria.m
fv_mass_matrix.m
fv_num_conv_flux.m
fv_num_conv_flux_engquist_osher.m	Function computing a numerical convective Engquist-Osher flux matrix
fv_num_conv_flux_lax_friedrichs.m	Function computing a numerical convective Lax-Friedrichs flux matrix
fv_num_conv_flux_waterflow_upwind.m
fv_num_diff_flux.m
fv_num_diff_flux_gradient.m	Computes a numerical diffusive flux for a diffusion problem
fv_num_diff_flux_gradient_tensor.m	Computes a numerical diffusive flux for a diffusion problem including a tensor
fv_num_diff_flux_pressure_gradient.m	Computes a numerical diffusive flux for a diffusion problem
fv_operators_conv_explicit_engquist_osher.m	Computes convection contribution to finite volume time evolution matrices, or their Frechet derivative
fv_operators_conv_explicit_lax_friedrichs.m	Computes convection contribution to finite volume time evolution matrices, or their Frechet derivative
fv_operators_conv_flux_waterflow_upwind.m	Computes convection contribution to finite volume time evolution matrices, or their Frechet derivative
fv_operators_diff_implicit_gradient.m	Computes diffusion contributions to finite volume time evolution matrices, or their Frechet derivative
fv_operators_diff_implicit_gradient2.m	Computes diffusion contributions to finite volume time evolution matrices, or their Frechet derivative
fv_operators_diff_implicit_gradient_tensor.m
fv_operators_implicit.m
fv_operators_implicit_explicit.m
fv_operators_neumann_explicit.m	Computes a neumann contribution matrix for finite volume time evolution operators, or their Frechet derivative
fv_operators_output.m	Function returning components, coefficients, and complete operator for a linear output functional on fv discrete functions
fv_operators_zero.m
fv_plot.m	Routine plotting a single fv function of fv_functions
fv_search_max_lxf_lambda.m
fv_space_operator.m	Fv_space_operator(model,model_data,U,NU_ind,grid,weights)
fv_two_phase_es.m
fv_two_phase_imp.m
fv_two_phase_space.m
reaction_term.m
ldg
@ldgdiscfunc
display.m
evaluate.m
ldgdiscfunc.m
subsasgn.m
subsref.m
ldg_basis_orthonormalization_matrix.m
ldg_basis_weight_matrix.m
ldg_conv_detailed_simulation.m
ldg_edge_flux_operator_fct.m
ldg_edge_num_flux_matrix.m
ldg_element_flux_operator_fct.m
ldg_evaluate.m
ldg_evaluate_basis.m
ldg_evaluate_basis_derivative.m
ldg_evaluate_scalar_basis_derivative.m
ldg_inv_mass_matrix.m
ldg_l2error.m
ldg_l2project.m
ldg_local_mass_matrix.m
ldg_mass_matrix.m
ldg_ndofs.m
ldg_ndofs_per_element.m
ldg_numerical_flux_operator_fct.m
ldg_operators_adv_explicit.m
ldg_operators_explicit.m
ldg_params.m
ldg_plot.m
ldg_scalar_component.m
ldg_zero.m
ldginfo.m
oop
+Fv
+TwoPhase
DivergenceSpace.m
PressureMean.m
SaturationSpace.m
VelocitySpace.m
common
ILocalizedOperator.m
ISeparableFunction.m
ISeparableOperator.m
LocalizedOperatorDefault.m
SeparableFunctionDefault.m
fv_two_phase_hess_fun.m
doxygen
developers.c
doxygen.m	Here comes a short description text
dummyclasses.c
groups.c
maindoc.c
namespaces.c
general
+DataTree
CreatorDefault.m
DefaultNode.m
DummyLeafNode.m
DummyMerger.m
ICreator.m
IdMapNode.m
ILeafNode.m
INode.m
LeafDescription.m
NullCreator.m
PpartNode.m
ScalarCreator.m
TpartNode.m
+Postprocess
+StochasticAssessment
Assessment.m
Output.m
plot_as_tikzfile.m	Postprocesses a figure and write out an image and a text file that can be included in TeX documents
plot_trajectories.m	Function generating a tikz graphic showing trajectories for certain selected parameters
basic
add_to_array.m
copy_field_if_exists.m
count_column_frequency.m
couple_N_and_M_by_c.m	Modifies the reduced basis size fields of model by a single variable
detect_duplicate_rows.m
disp_deprecated.m
extend_class_from_struct.m
find_corresp.m
isequal_ignore_handles.m
isequal_ignore_handles_nan_treatment.m
lincomb_sequence.m
lincomb_sequence2.m
lincomb_sequence3.m
matrix2str.m
print_datatable.m
repmatrows.m
sin_sym.m
structcmp.m
structcpy.m	Copies the fields of structure s2 into structure s1. If the field to be copied does not exist in s1 yet, a field with the appropriate name is created
subblock_sequence.m
test_affine_decomp.m
filecaching
cache.m
filecache_clear.m
filecache_function.m	Function used for file-caching other function calls
filecache_path.m
tictoc_wrapper.m
geometry
area_triangle.m
circumcenter_triangle.m
cubequadrature.m	Integration of function func over reference cube == unit cube. by Gaussian quadrature exactly integrating polynoms of poldeg
dist_point_line.m
get_intervalquadrature_points.m	Returns local quadrature points and corresponding weights for a Gaussian quadrature rule for a function defined on a 1d interval
get_quadrature_weights_1d.m	Returns local quadrature points and corresponding weights for a Gaussian quadrature rule for a function defined on a 1d interval
intervalquadrature.m	Integration of function func over reference interval == unit interval. by Gaussian quadrature exactly integrating polynoms of poldeg
quadrature.m
spline_select.m
triaquadrature.m
XPartMap.m
help
class_help.m	Prints out class structure and documentation for a given classname or object
postprocess
plot_as_tikzfile.m	Postprocesses a figure and write out an image and a text file that can be included in TeX documents
plot_error_landscape.m	Plots an output structure generated by stochastic_error_estimation()
vecmat
delzerocolumns.m	Function deleting zero-columns from matrix X
find_vector.m
gram_matrix.m
improve_conditioning.m
model_orthonormalize.m
model_orthonormalize_gram_schmidt.m
model_orthonormalize_qr.m
model_PCA_fixspace.m
orthonormalize.m
orthonormalize_chol.m
orthonormalize_gram_schmidt.m
orthonormalize_old.m
orthonormalize_qr.m
PCA_fixspace.m
PCA_fixspace_evalues.m
power_vector2.m
power_vector2_derivative.m
rand_log.m
rand_uniform.m
regular_submatrix_indices.m
spblkdiag.m
svds_batch.m
veccomp1.m
veccomp2.m
vectorset_difference.m
verbosity
verbose.m	This function displays messages depending on a message-id and/or a level. Aditionally you can set/reset the level-filer and add ore remove message-ids to the include and exclude lists
CacheableObject.m
gplmm.m	Global projected Levenberg-Marquard method
htdoc.m	Opens mtoc++ documentation in a browser
MatlabDocMaker.m
merge_model_plot_params.m
newton_raphson.m	Global projected Levenberg-Marquard method
rbmatlabhome.m
rbmatlabinput.m
rbmatlabresult.m
rbmatlabtemp.m
remote_function.m
show_abstract_members.m	Displays unimplemented abstract methods of class with name class_name
grid
@cubegrid
check_consistency.m
coord2leaf_element.m
cubegrid.m
demo.m
display.m
get.m
get_edges.m
get_leafgids.m
get_ranges_of_element.m
get_volume.m
gid2lid.m
lid2gid.m
plot.m
plot_grid.m
plot_leafelement_data.m
plot_leafvertex_data.m
refine.m
remove_duplicate_vertices.m
@gridbase
check_consistency.m
display.m
edge_quad_eval.m
edge_quad_eval_mean.m
edge_quad_points.m
get_edge_points.m
get_enbi.m
gridbase.m
gridpart.m
inspect.m
plot_element_data.m
plot_element_data_sequence.m
plot_polygon_grid.m
plot_vertex_data.m
set_boundary_types.m
@onedgrid
gridpart.m
onedgrid.m
@rectgrid
demo.m
isequal.m
local2global.m
plot.m
rectgrid.m
set_nbi.m
@triagrid
aff_trafo_glob2loc.m
aff_trafo_loc2glob.m
aff_trafo_orig2ref.m
demo.m
display.m
global2local.m
gridpart.m
llocal2local.m
local2global.m
micro2macro_map.m
plot.m
set_nbi.m
triagrid.m
alu3d
cog_elements_alu3d_hexa.m
cog_faces_alu3d_hexa.m
coord_faces_alu3d_hexa.m
cut_alu3d_hexa.m
face_in_matrix.m
load_alu3d_hexa.m
merge_alu3d_hexa.m
plot_bnd_alu3d_hexa.m
save_alu3d_hexa.m
common
compute_edge_indices.m	Edge index matrix. This matrix maps each edge specified by the tuple (element_id, local_edge_id) to a unique and continuous edge index enumeration
construct_grid.m
index_ext.m
plot_data_sequence.m
models
oop
+ThermalBlock
DetailedModel.m
convdiff
convdiff_descr.m
convdiff_dune_descr.m	Convection diffusion example using dune-rb for high dimensional computations and data structures
laplace_dune_descr.m	Convection diffusion example using dune-rb for high dimensional computations and data structures
newton_oo_model.m
nonlin_symmetry_descr.m
richards_fv_bg_descr.m
richards_fv_descr.m	Non-linear evolution equation with geometry transformation and an example of the Richards equation
thermalblock_model.m	Thermal Block example similar as described in the book of A.T. patera and G. Rozza (just one parameter more)
twophase_descr.m
struct
+advection_Nadapt
my_u0_coefficients.m
my_u0_components.m
my_udir_coefficients.m
my_udir_components.m
advection_output
advection_fv_output_model.m
advection_fv_output_opt_model.m
advection_fv_output_vconst_model.m
advection_ldg_model.m
lin_ds_advection_vconst_fast_model.m
lin_ds_advection_vconst_model.m
common
default_plot_control.m	DEFAULT_PLOT_CONTROL M-file for default_plot_control.fig DEFAULT_PLOT_CONTROL, by itself, creates a new DEFAULT_PLOT_CONTROL or raises the existing singleton*
demo_rb_gui.m	Reduced basis demo with sliders
detailed_ei_rb_proj_simulation.m
detailed_ei_simulation.m
detailed_simulation.m
dune_demo_rb_gui.m	Reduced basis demo with sliders for a remotely running DUNE-rb server application
gen_detailed_data.m
gen_model_data.m
gen_reduced_data.m
model_default.m	Model = model_default(model)
optimize.m	Opt_data = optimize(model, model_data, detailed_data, reduced_data)
plot_detailed_data.m
plot_sim_data.m	Function performing the plot of the simulation results as specified in model
postprocess_gravity.m	Subtracts a previously added addent induced by gravitational effects
rb_init_values.m
rb_operators.m
rb_reconstruction.m
rb_simulation.m
renew_model.m	Change fields of old param structure to new model structure with excessive use of function pointers
unitcube.m	Function adding fields to model for generating a 2D rectgrid with 100 x 100 elements on the unit-square
dune-rb
dune_detailed_simulation.m
dune_gen_model_data.m
european_option_pricing
eop_beta.m
eop_C_L_I.m	Model = eop_C_L_I(model)
eop_example_script.m	Eop_example_script(step)
eop_fd_functionals.m
eop_fd_norm.m	Norm = eop_fd_norm(fd_function1, fd_function2, grid, ~)
eop_fd_operators.m	[L_I, L_E, b, L_I_adj, L_E_adj] = eop_fd_operators(model, model_data)
eop_gridconvergence.m	[error, h_sequence, EOC] = eop_gridconvergence(model, model_data, params)
eop_init_values.m	Ut = eop_init_values(model,model_data)
eop_master_gui.m
eop_space_time_norm.m	Norm = eop_space_time_norm(fd_function1, fd_function2, grid, ~)
eop_theta_functional.m	Sim_data.y = eop_theta_functional(sim_data.U, v)
european_option_pricing_demo.m	Simple demo script: loads a primal reduced basis with standard grid settings and 200 basis vectors (the l2-error-estimator was used during basis generation) and produces a GUI for the european-Option_pricing model
european_option_pricing_model.m	Model = european_option_pricing_model(params)
hmm_micro_local
g0.m
hmm_micro_local_model.m
HMM_UM_GESCHW.m
Phasen_lokal.m
Phasen_lokal_old.m
Phasen_lokal_space.m
REGULARlok.m
REGULARlok_space.m
test_lokal.m
test_lokal_old.m
u_index_aus.m
multiscale_buckley_leverett
A_operator.m
b_operator.m
BL_D.m
BL_f.m
HMM_AB_U0_BL.m
HMM_CFL_BL.m
HMM_MIKRO_teil.m
HMM_REKONSTRUKTION.m
HMM_UM_GESCHW_BL.m
INVERSE_TRIDIAG.m
multiscale_buckley_leverett_model.m	Initialization of micromodel for buckley leverett multiscale problem
test.m
porsche
constraint_files
porsche_circle_x3_y3_get_eq_constr.m
porsche_circle_x3_y3_get_grad_eq_constr.m
porsche_circle_x3_y3_get_Hes_Lag.m
porsche_circle_x3_y3_get_Hessian_eq_constr.m
porsche_circle_x3opt_y3opt_r10_get_eq_constr.m
porsche_circle_x3opt_y3opt_r10_get_grad_eq_constr.m
porsche_circle_x3opt_y3opt_r10_get_Hes_Lag.m
porsche_circle_x3opt_y3opt_r10_get_Hessian_eq_constr.m
porsche_circle_x3opt_y3opt_r20_get_eq_constr.m
porsche_circle_x3opt_y3opt_r20_get_grad_eq_constr.m
porsche_circle_x3opt_y3opt_r20_get_Hes_Lag.m
porsche_circle_x3opt_y3opt_r20_get_Hessian_eq_constr.m
porsche_circle_x3ref_y3_ref_r20_get_eq_constr.m
porsche_circle_x3ref_y3_ref_r20_get_grad_eq_constr.m
porsche_circle_x3ref_y3_ref_r20_get_Hes_Lag.m
porsche_circle_x3ref_y3_ref_r20_get_Hessian_eq_constr.m
aff_trafo_coef.m
aff_trafo_glob2loc.m
aff_trafo_loc2glob.m
change_mu.m
compute_pressure.m
createCombinations.m	Creates the cartesian product of the vectors passed as a matrix containing elements of each vector per row
disc_gradient.m
global2local.m
grid_reshape.m
micro2macro_map.m
pmicro2tmacro.m
points_trafo.m
porsche_coercivity_alpha.m
porsche_create_basis.m
porsche_detailed_simulation.m
porsche_diffusivity_tensor_coefficients.m
porsche_diffusivity_tensor_components.m
porsche_gen_detailed_data.m
porsche_gen_model_data.m
porsche_gen_reduced_data.m
porsche_get_Hessian_J.m
porsche_get_Jacobian.m
porsche_model.m
porsche_neumann_components.m
porsche_objective_function.m
porsche_operators_output.m
porsche_output_functional.m
porsche_plot.m
porsche_rb_simulation.m
porsche_x3_y3_grid_search.m
SQP_algorithm.m
SQP_kkt_check.m
test_mic_mac_grid.m
advection_fv_output_model_hp.m
buckley_leverett_model.m
convdiff_model.m	Function creating a simple model for a linear convection diffusion problem
discrete_volume_values.m
elastic_membrane_model.m
elastic_rope_model.m
elliptic_debug_model.m
elliptic_discrete_model.m
follicle_model.m	Model of the human follicle growth
follicle_rect_model.m	Model of the human follicle growth
minimal_ei_model.m
multiscale_thermalblock_model.m
nonlin_symmetry_model.m
poisson_model.m
praktikum_ellipt_model.m
praktikum_poisson_model.m
quadratic_poisson_model.m	Quadratic poisson equation on unit interval
riemann_burgers_model.m
thermalblock_dd_model.m
thermalblock_model_hp.m	Thermal Block example similar as described in the book of A.T. patera and G. Rozza (just one parameter more)
thermalblock_model_old.m	Thermal Block example similar as described in the book of A.T. patera and G. Rozza (just one parameter more)
thermalblock_model_struct.m	Thermal Block example similar as described in the book of A.T. patera and G. Rozza (just one parameter more)
twoscale_thermalblock_model.m
rbasis
basisgen
oop
+Greedy
+DataTree
+Detailed
DuneRBLeafNode.m
EILeafNode.m
IdMapNode.m
IInjectableNode.m
ILeafNode.m
InfoNode.m
INode.m
PODEILeafNode.m
PpartNode.m
RBLeafNode.m
TpartNode.m
+Reduced
IdMapNode.m
SeparableFunctionNode.m
SeparableOperatorNode.m
TpartNode.m
Info.m
+Plugin
Default.m
EI.m
EICommon.m
EIPOD.m
InjectedTpart.m
Interface.m
POD.m
PODCommon.m
PODDune.m
PODEI.m
SummedEI.m
+User
FVDetailedModelDefault.m
IDetailedData.m
IDetailedModel.m
IReducedDataNode.m
IReducedModel.m
ReducedData.m
Algorithm.m
Checkpoint.m
Combined.m
EiTpart.m
Interface.m
MetaInterface.m
TrainingSetAdaptation.m
+ParameterSampling
Interface.m
IRefineable.m
Random.m
Single.m
Uniform.m
+SnapshotsGenerator
Cached.m
MergedSpaceOpEvals.m
Random.m
SpaceOpEvals.m
Trajectories.m
rbmodels
+Test
DetailedData.m
DetailedModel.m
ReducedData.m
ReducedModel.m
rb_init_values_separable.m	Function computing initial values for a reduced simulation
struct
ei
ei_detailed.m	Constructs a collateral reduced basis and interpolation points for given operator evaluations
ei_error_convergence.m
ei_operator_collect_files.m	Collects operator evaluations on a sample of snapshots
scm
scm_demo.m	Scm_demo.m a simple demo script which produces scm_offline_data for the inf-sup constant of the scm_minimal_model. Then for a fine set of parameters in [0,1] the exact constant (mu), the lower bound {LB}(mu) and the exact cercivity constant (mu) are computet and the results are plottet. This shows that the scm_minimal_model is coercive up to mu = 0.5 and from there on it is only inf-sup stable. For mu = 0.5 it is neither cercive nor inf-sup stable. The main point is to show, that the SCM is working fine for little lin_stat inf-sup stable problems
scm_get_neighbours.m	[P_M, ind] = scm_get_neighbours(M, mu, C)
scm_lower_bound.m	[constant_LB, constant_UB] = scm_lower_bound(model, reduced_data)
scm_minimal_model.m	Model = scm_minimal_model(size)
scm_offline.m	Scm_offline_data = scm_offline(model, detailed_data, M_train, D_train)
scm_online.m	Scm_results = scm_online(mu, Theta_mu, scm_offline_data, M_alpha, M_plus, desired_constant)
animate_basisgen.m
animate_basisgen_error.m
basisgen_fixed.m
basisgen_refined.m
basisgen_refined_tmp.m
dune_RB_extension_PCA_fixspace.m
gen_and_test_basis.m
inspect_mu_distribution.m
plot_basisgen_results.m
rb_basis_generation.m	Reduced basis construction with different methods
RB_extension_lin_stat_default.m
RB_extension_max_error_snapshot.m
RB_extension_PCA_fixspace.m	Function computing a RB basis extension for given parameters by the POD-Greedy algorithm
RB_extension_PCA_fixspace_flexible.m	Function computing a RB basis extension for given parameters by the POD-Greedy algorithm
RB_extension_PCA_fixspace_flexible_hp.m
RB_greedy_extension.m	Function performing a greedy search loop for reduced basis generation
RB_init_data_basis.m
RB_init_data_basis_stationary_default.m
rb_mu_element_indicators.m	Detailed_data, [offline_data], MMesh, Delta_train, model)
rb_test_indicator.m	M_test,[savepath])
rb_test_projection_error.m
SimpleDetailedData.m
problem_types
oop
+LinEvol
@DetailedModel
detailed_simulation.m
DetailedModel.m
gen_model_data.m
plot_sim_data.m
@ReducedData
rb_operators.m
ReducedData.m
@ReducedModel
rb_simulation_impl.m
ReducedModel.m
descr_default.m	Function initializing some fields of a lin-evol model
DetailedData.m
+LinEvolDune
DetailedModel.m
ReducedData.m
ReducedModel.m
+LinStat
@DetailedModel
detailed_simulation.m
DetailedModel.m
gen_model_data.m
plot_sim_data.m
@ReducedModel
rb_simulation.m
ReducedModel.m
descr_default.m	Function initializing some fields of a lin-stat model
DetailedData.m
ReducedData.m
+LinStatDune
DetailedModel.m
ReducedData.m
ReducedModel.m
+NonlinEvol
@DetailedModel
detailed_simulation.m
DetailedModel.m
gen_model_data.m
plot_sim_data.m
@ReducedData
rb_operators.m
ReducedData.m
@ReducedModel
rb_simulation_impl.m
ReducedModel.m
descr_default.m	Default discretization description for problems
DetailedData.m
EiRbReducedDataNode.m
EiReducedDataNode.m
RbReducedDataNode.m
+TwoPhaseFlow
@DetailedModel
detailed_simulation.m
detailed_simulation_galerkin.m
detailed_simulation_impes.m
DetailedModel.m
gen_model_data.m
plot_sim_data.m
@ReducedData
ReducedData.m
@ReducedModel
rb_reconstruction.m
rb_simulation_impes_impl.m
rb_simulation_impl.m
ReducedModel.m
descr_default.m	Default discretization description for problems
DetailedData.m
DetailedLeafNode.m
EiRbReducedDataNode.m
EiReducedDataNode.m
RbReducedDataNode.m
interface
gen_detailed_model.m	Generates an IDetailedModel instance from a description structure
gen_models.m	Generates an IDetailedModel and an IReducedModel instance from description structures
gen_reduced_model.m	Generates an IReducedModel instance from a description structure
IDetailedData.m
IDetailedModel.m
IModel.m
IReducedData.m
IReducedModel.m
struct
burgers_fem
burgers_fem.m	Hauptskript fuer burgers-fem-rb
gen_dune_params.m
rb_burgers_fem_detailed_prep.m
rb_burgers_fem_offline_prep.m
rb_burgers_fem_offline_subset.m	Function extracting a subset of the offline data
rb_burgers_fem_online_prep.m
rb_burgers_fem_simulation.m
common
dune_rb_init_data_basis.m
dune_RB_init_data_basis_old.m
dune_rb_init_values.m
dune_set_mu.m	Sets the parameter mu in dune-rb
eval_affine_decomp.m
eval_affine_decomp_general.m
extract_reduced_data_subset.m
get_mu.m
get_mu_default.m
get_rb_size.m
get_rb_size_default.m
init_model.m
load_detailed_simulation.m	Load single trajectory of previously saved results
plot_error_estimator.m
plot_mu_frequency.m
rb_init_values_default.m	Function computing the reduced basis initial values. If the decomposition mode is coefficients, the detailed_data are superfluous, can (and should for H-independence) be empty
rb_output_functional_prep.m
rb_plot_detailed_data.m
rb_plot_interpolation_points.m
rb_plot_output_estimation.m
rb_plot_reconstruction.m
rb_reconstruction_default.m	(trivial) function computing a detailed reconstruction by linear combination of the coefficients in the simulation data with the orthonormal reduced basis RB
rb_test_convergence.m	Rb_test_convergence(detailed_data,model)
rb_test_error.m
rb_test_estimator.m
rb_test_estimator_parallel.m
rb_test_indicator.m	M_test,[savepath])
save_detailed_simulation_finals.m
save_detailed_simulations.m	Perform loop over detailed simulations and save results or check consistency with existing saved results
set_mu.m
set_mu_default.m
set_mu_general.m
set_mu_in_model_and_base_model_old.m
set_time.m
set_time_default.m
dom_dec
dom_dec_compute_error.m	Dom_dec_compute_error(model,model_data,sim_data)
dom_dec_compute_projection_error.m
dom_dec_detailed_simulation.m
dom_dec_gen_detailed_data.m	Dom_dec_gen_detailed_data(model,model_data)
dom_dec_gen_model_data.m
dom_dec_gen_reduced_data.m
dom_dec_get_dofs_from_sim_data.m
dom_dec_get_inner_product_matrices.m	Dom_dec_get_inner_product_matrizes(detailed_data)
dom_dec_get_rb_from_detailed_data.m
dom_dec_get_rb_size.m
dom_dec_model.m
dom_dec_operators.m	Dom_dec_operators(model,model_data)
dom_dec_orthonormalize.m
dom_dec_PCA_fixspace.m
dom_dec_plot_sim_data.m	Dom_dec_plot_sim_data(model,model_data,sim_data,plot_params)
dom_dec_RB_extension_eigenbasis.m
dom_dec_RB_extension_PCA_fixspace.m
dom_dec_rb_reconstruction.m	Dom_dec_rb_reconstruction(model,detailed_data,rb_sim_data)
dom_dec_rb_simulation.m
dom_dec_set_mu.m
dom_dec_set_rb_in_detailed_data.m	Dom_dec_set_rb_in_detailed_data(detailed_data,RB_0,RB_G)
ellipt_compliant
ellipt_compliant_detailed_simulation.m
ellipt_compliant_gen_model_data.m
ellipt_compliant_plot_sim_data.m
get_triangle_midpoints.m	Computes triangle midpoints for given mesh data
RBcheck.m	=> Ergebnis RB' * G * RB = eye; check result
thermalblock_output_function.m
hp
demos
hp_demo.m	Demo script for hp-approach routine
hp_demo_elliptic.m	Demo script for hp-approach routine using a elliptic problem
hp_demo_errordistance.m	Demo script for hp-approach routine with error distance function
error_distance.m
euclidean_distance.m
h_refinement.m
h_refinement_err_ext.m
hp_elliptic.m
hp_gen_model.m
hp_gen_model_elliptic.m
hp_plot_domain_full.m
hp_plot_domains.m
hp_plot_error.m	Zeichnet ein Fehlergebiet - nur bei 2d Paramtern möglich
hp_plot_number.m
hp_plot_sim_data.m
hp_rb_generation.m
hp_simulation.m
leaf.m
lin_ds
estimate_lin_ds_bound_constants.m
lin_ds_detailed_simulation.m
lin_ds_detailed_simulation_euler_forward.m
lin_ds_estimate_bound_constants.m
lin_ds_from_lin_evol_gen_model_data.m
lin_ds_from_lin_evol_model.m
lin_ds_from_lin_evol_plot_sim_data.m
lin_ds_gen_detailed_data.m
lin_ds_gen_model_data.m
lin_ds_gen_reduced_data.m
lin_ds_model_default.m
lin_ds_plot_detailed_data.m
lin_ds_plot_sim_data.m
lin_ds_plot_sim_data_output.m
lin_ds_plot_sim_data_state.m
lin_ds_rb_reconstruction.m
lin_ds_rb_simulation.m
lin_ds_rb_simulation_euler_forward.m
lin_ds_reduced_data_subset.m
lin_ds_set_rb_in_detailed_data.m
lin_evol
dune_get_rb_size.m
dune_lin_evol_gen_model_data.m
dune_lin_evol_rb_operators.m
dune_lin_evol_rb_recons_and_compare.m
dune_lin_evol_rb_reconstruction.m
lin_evol_detailed_simulation.m
lin_evol_gen_detailed_data.m
lin_evol_gen_model_data.m
lin_evol_gen_reduced_data.m
lin_evol_model_default.m
lin_evol_plot_detailed_data.m
lin_evol_plot_sim_data.m
lin_evol_rb_operators.m
lin_evol_rb_reconstruction.m
lin_evol_rb_simulation.m
lin_evol_reduced_data_subset.m	Method which modifies reduced_data, which is the data, that will be passed to the online-simulation algorithm
lin_evol_opt
convdiff
calculate_gamma_const.m
calculate_Lipschitz_const.m
convection_diffusion_fv_output_opt_script.m
dummy_constant.m
experiments1.m
experiments2.m
experiments_am08.m
experiments_am101.m
experiments_am102.m
experiments_am104.m
experiments_nmh17.m
experiments_nmh23.m
lin_evol_opt_output_time_independent.m
lin_evol_opt_output_time_integrated.m
my_get_gamma_H_constant.m
my_get_L_H_constant.m
nachbesserungsskript34.m	Nachbersserungsskript
nachbesserungsskript45.m	Nachbersserungsskript
simplex_nonlinear.m
zeittest.m
separate_bases
experiments_comparison.m	Classic basis generation
experiments_comparison_mixed.m	Mixed basis generation
experiments_comparison_separate.m	Separate basis generation
experiments_run.m
experiments_run2.m	Params.mu_ranges = {[0.799, 0.8],[0.699, 0.7]};
lin_evol_opt_gen_detailed_data_separate_bases.m	Lin_evol_opt_gen_detailed_data_separate_bases(model, model_data)
lin_evol_opt_gen_detailed_data_separate_bases_parallel.m	Lin_evol_opt_gen_detailed_data_separate_bases(model, model_data)
lin_evol_opt_gen_reduced_data_separate_bases.m
lin_evol_opt_get_rb_from_detailed_data_separate_bases.m	Lin_evol_opt_get_rb_from_detailed_data_separate_bases(detailed_data,p);
lin_evol_opt_get_rb_size.m
lin_evol_opt_rb_derivative_simulation_separate_bases.m
lin_evol_opt_rb_derivative_simulation_separate_bases_tpart.m
lin_evol_opt_rb_init_values_separate_bases.m
lin_evol_opt_rb_operators_separate_bases.m
lin_evol_opt_reduced_data_subset_separate_bases.m	Method which modifies reduced_data, which is the data, that will be passed to the online-simulation algorithm
lin_evol_opt_set_rb_in_detailed_data_separate_bases.m	Lin_evol_opt_set_rb_in_detailed_data_separate_bases(detailed_data,RB,derivative_indx)
blowup_cell.m
blowup_matrix.m
calculate_derivative.m	Function calculates the derivative of the function U using detailed simulation
detailed_grid_search.m
experiments_am106.m	Experiments_am106
fv_operators_implicit_explicit_without_timestep.m
get_bound_to_optimize.m
get_derivative_err_est_norm.m
get_dofs_from_sim_data_for_sensitivity_extension.m
get_estimator_from_sim_data_mixed.m
get_estimator_from_sim_data_mixed_relative.m
get_mu_to_optimize.m
gradient_opt.m
gradient_opt_non_iter_err.m
grid_search.m
lin_evol_animate_solution.m
lin_evol_get_output.m	Lin_evol_get_output_detailed(model, varargin)
lin_evol_get_output_detailed.m	Lin_evol_get_output_detailed(model, varargin)
lin_evol_opt_calculate_average_base_size.m
lin_evol_opt_detailed_der_simulation.m
lin_evol_opt_detailed_der_simulation_old.m
lin_evol_opt_detailed_der_simulation_t_part.m
lin_evol_opt_detailed_simulation.m
lin_evol_opt_fd_derivative.m
lin_evol_opt_fd_fd_Hessian.m
lin_evol_opt_fd_fd_second_derivative.m
lin_evol_opt_fd_Hessian.m
lin_evol_opt_fd_Hessian_der.m
lin_evol_opt_fd_second_derivative.m
lin_evol_opt_gen_reduced_data.m
lin_evol_opt_get_Jacobian.m
lin_evol_opt_rb_fd_derivative.m
lin_evol_opt_rb_operators.m
lin_evol_opt_rb_simulation.m
lin_evol_opt_reduced_data_subset.m	Method which modifies reduced_data, which is the data, that will be passed to the online-simulation algorithm
lin_evol_rb_derivative_operators_coefficients.m
lin_evol_rb_derivative_simulation.m
lin_evol_rb_derivative_simulation_t_part.m
load_opt_data.m	Model = load_opt_data(filestr, model)
plot_data_surf.m
plot_PM.m
rb_derivative_init_values_coefficients.m
rb_derivative_simulation.m
rb_gui_lin_evol_opt.m	Try to put advection_fv_output_opt in a gui
RB_init_data_basis_lin_evol_opt.m
rb_reconstruction_derivative.m
rb_reconstruction_dictionary.m
save_opt_data.m
script_detailled_simulation.m	Detailed_simulation_refined
script_detailled_simulation_cone1_ref5.m	Detailed_simulation_refined
script_detailled_simulation_cone2_ref5.m	Detailed_simulation_refined
script_detailled_simulation_cone4_ref5.m	Detailed_simulation_refined
set_mu_lin_evol_opt.m
set_mu_to_optimize.m	Funcion sets the parameters that are to be optimized to the values given by x Also usable for optimization: function sets the parameters to x+t*d if t and d are given
setfield_in_model_and_base_model.m
stepsize_armijo.m
stepsize_dichotomie.m
stepsize_exponential.m
stepsize_quotient.m	Function [model, t_opt, output] = stepsize_quotient(model, model_data, output, x, d, quot_step)
stepsize_wolfe_powell.m
test_compare_old_new_detailed_sim.m	Script compares old and new detailed simulations
test_compare_real_error_estimated_error.m	% model initialisation
test_derivative_lin_evol_opt.m
test_det_der_sim_dummy.m	Only needed for testing script_detailled_simulation CREATE DUMMY FILE FOR TESTING!!!!
testing_script_lin_evol_opt_implicit_operators.m	Testing_script_lin_evol_opt_implicit_operators
testing_script_rb_operators_decomp.m	Testskript für lin_evol_opt_rb_operators zum Testen der einzelnen decomp_modes
lin_evol_primdual
lin_evol_detailed_simulation_primal_dual.m	Sim_data = lin_evol_detailed_simulation_primal_dual(model, model_data)
lin_evol_gen_reduced_data_primal_dual.m	Reduced_data = lin_evol_gen_reduced_data_primal_dual(model, detailed_data)
lin_evol_primal_dual_gen_detailed_data.m	Detailed_data = lin_evol_primal_dual_gen_detailed_data(model, model_data)
lin_evol_primal_dual_gen_reduced_data.m	Reduced_data = lin_evol_primal_dual_gen_reduced_data(model, detailed_data)
lin_evol_primal_dual_rb_simulation.m	Simulation_data = lin_evol_primal_dual_rb_simulation(model, reduced_data)
lin_evol_rb_operators_primal_dual.m
lin_evol_rb_simulation_primal_dual.m	Simulation_data = lin_evol_rb_simulation_primal_dual(model, reduced_data)
lin_evol_split_detailed_data.m	[detailed_data_primal, detailed_data_dual] = lin_evol_split_detailed_data(detailed_data)
lin_evol_split_reduced_data.m	[reduced_data_primal_improved, reduced_data_dual] = lin_evol_split_reduced_data(reduced_data)
rb_init_values_primal_dual.m	A0 = rb_init_values_primal_dual(model, detailed_data)
lin_stat
lin_stat_detailed_simulation.m
lin_stat_gen_detailed_data.m
lin_stat_gen_model_data.m
lin_stat_gen_reduced_data.m
lin_stat_model_default.m
lin_stat_plot_detailed_data.m
lin_stat_plot_sim_data.m
lin_stat_rb_reconstruction.m
lin_stat_rb_simulation.m
lin_stat_reduced_data_subset.m	Method which modifies reduced_data, which is the data, that will be passed to the online-simulation algorithm
lin_stat_set_dofs_in_sim_data.m	Routine setting dofs in sim_data
lin_stat_set_rb_in_detailed_data.m
nonlin_evol
nonlin_evol_detailed_ei_rb_proj_simulation.m
nonlin_evol_detailed_ei_simulation.m
nonlin_evol_detailed_local_ei_simulation.m
nonlin_evol_detailed_rb_proj_simulation.m
nonlin_evol_detailed_simulation.m
nonlin_evol_gen_detailed_data.m	Prepares detailed_data structure with high dimensional like reduced basis functions
nonlin_evol_gen_model_data.m
nonlin_evol_gen_reduced_data.m	Method which produces reduced_data, which is the data, that will be passed to an online-algorithm
nonlin_evol_model_default.m
nonlin_evol_plot_detailed_data.m	Plot the reduced basis, the colateral reduced basis, the interpolation points and the maximum error decrease during CRB generation
nonlin_evol_plot_sim_data.m
nonlin_evol_rb_operators.m
nonlin_evol_rb_simulation.m
nonlin_evol_reduced_data_subset.m	Method which modifies reduced_data, which is the data, that will be passed to the online-simulation algorithm
p_part
calculate_test_estimator.m
clean_up_part_detailed_data.m	Function deleting all expensive data from parts of detailed_data which are no leaf elements
p_part_gen_detailed_data.m
p_part_gen_reduced_data.m
p_part_model.m
p_part_rb_reconstruction.m
p_part_rb_simulation.m
plot_error_domain.m
prepare_animation.m
set_mu_in_model_and_base_model.m
t_part
lin_evol_rb_simulation_t_part.m
refine_t_part.m
t_part_detailed_simulation.m
t_part_gen_detailed_data.m
t_part_gen_model_data.m
t_part_gen_reduced_data.m
t_part_initial_cond_POD.m
t_part_model.m
t_part_rb_reconstruction.m	Sim_data)
t_part_rb_simulation.m
t_part_reduced_data_subset.m	Reduced_data)
t_part_script.m
vi
vi_detailed_simulation.m
vi_gen_detailed_data.m
vi_gen_model_data.m
vi_gen_reduced_data.m
vi_plot_detailed_data.m
vi_plot_sim_data.m
vi_rb_reconstruction.m
vi_rb_simulation.m
vi_reduced_data_subset.m
lin_stat_plot_control.m	LIN_STAT_PLOT_CONTROL M-file for lin_stat_plot_control.fig LIN_STAT_PLOT_CONTROL, by itself, creates a new LIN_STAT_PLOT_CONTROL or raises the existing singleton*
scripts
steps
step10_plot_trajectories.m	Script generating a tikz graphic showing trajectories for certain selected parameters
step1_detailed_simulation.m	Script performing a single detailed simulation and plotting it
step2_empirical_interpolation.m	Script constructing a collateral reduced basis space for localized space operators
step3_detailed_ei_simulation.m	Script performing a detailed simulation with empirical interpolated operators comparing the result with a regular detailed simulation
step4_dummy_reduced_basis.m	Script constructing a reduced basis from a single trajectory and performing a detailed simulation where the data is projected on the dummy reduced basis space after each time step
step5_rb_generation.m	Script constructing a reduced basis space
step6_demo_rb_gui.m	Script comparing time for a reduced and a detailed simulation and starting the demonstration GUI
step7_error_landscape.m	Script generating error landscapes by computing the true error of reduced simulations vs. detailed simulations for given test parameters over differing basis sizes
step8_estimator_landscape.m	Script generating landscapes plot data by computing the error estimator of reduced simulations for given test parameters over differing basis sizes
adaptive_basisgen_admos2007.m	Script for generating the MCMDS basis generation images
adaptive_basisgen_mcmds.m
adaptive_basisgen_mcmds_changed.m
advection_fv_output.m	Small script implementing a simple advection example for producing matrices to be used in the RB-DS framework Discretization with FV Functions
advection_fv_output_mcmds.m	Small script implementing a simple advection example for producing matrices to be used in the RB-DS framework Discretization with FV Functions. Used for the mcmds lin-ds paper
advection_fv_output_morepas.m	Small script implementing a simple advection example for producing matrices to be used in the RB-DS framework Discretization with FV Functions
advection_fv_output_optimization.m
advection_fv_output_vconst.m	Small script implementing a simple advection example for producing matrices to be used in the RB-DS framework Discretization with FV Functions. The steps generate the results for the at-Automatisierungstechnik 2010 Paper
advection_ldg.m	Small script implementing a simple advection example Discretization with LDG Functions
advection_Nadapt.m	Small script demonstrating RB-approach with adaptive N choice for a simple advection problem. Only dirichlet-data parametrization, should be made more complex later. Demonstrates the unequal error estimator increase is a motivation for model adaptivity
basisgen.m	Script basisgen: demonstration of functionality for basis generation and generation of plots for comparing different methods
buckley_leverett.m	Small script demonstrating a buckley leverett problem discretization and RB model reduction
burgers_fv.m	Small script demonstrating the burgers equation with explicit fv discretization and RB model reduction
burgers_fv_interpol.m	Small script demonstrating the burgers equation with explicit fv discretization and RB model reduction laxfriedrichsflux
chemnitz_gdl_experiments.m	Script collecting the commands for running the chemnitz-experiments i.e. for the paper
cmp_rb_detailed_simulation.m	Small script performing a reduced basis simulation and a detailed simulation for specified parameters. Hereby, visual difference can checked
cmp_rb_lin_nonlin_evol.m	Small script performing a reduced basis simulation with the linear and nonlinear scheme and plotting the results the detailed_data for the nonlinear case can be modified and the simulation parameters switched, hereby checking suitability of a colateral basis for different parameter settings
compute_gdl_velocity2.m	Script computing a velocity field for simple gdl model by solving a laplace problem with suitable boundary conditions
conservation_test.m	Test of conservativity of galerkin projection by the linear-fv approach. motivation of a conservative RB scheme is demonstrated with this example: The reduced scheme is not conservative, the missing conservativity correlates with the l1-error. So a conservative RB-scheme may result in a more accurate RB-scheme
Contents.m	SCRIPTS
convdiff.m	Small script demonstrating the convdiff example from the M2AN Paper, that is also implemented in Dune. Later it will be possible to use the Dune implementation through a mex interface
convdiff_new.m	Small script demonstrating the convdiff example from the M2AN Paper, that is also implemented in Dune. Later it will be possible to use the Dune implementation through a mex interface
duneconvdiff.m	Small script demonstrating the convdiff example from the M2AN Paper, that is also implemented in Dune. Later it will be possible to use the Dune implementation through a mex interface. Martin Drohmann 06.05.2009 based on burgers_fv.m by Bernard Haasdonk 14.8.2007
fem_poisson.m
follicle_experiments.m	Experiments with the model of the human follicle growth
follicle_model.m	Model of the human follicle growth
follicle_model_BT.m
follicle_rect_experiments.m	Experiments with the model of the human follicle growth
gamm2013_exp.m
gdl_Nadapt.m	Dgl_adaptivity
gen_burgers_movie.m	Small script generating a movie of simulation sequences
gen_burgers_mpg.m	Small script generating a movie of simulation sequences
gen_nonlin_symmetry_mpg.m	Small script generating a movie of simulation sequences
get_nonlin_evol_params.m	Small script setting basic params structure for nonlin_evol problem
hmm_micro_local.m
lin_ds_adjoint_experiments.m	Script performing different experiments for linear dynamical system
loop_demo_rb_gui.m
MoRePaS09_fuelcell_gdl.m	Small script demonstrating RB-approach for the fuelcell-gdl with the MoRePaS09 initial data, i.e. Logo for the Workshop Model Reduction of Parametrized Systems
multiscale_buckley_leverett.m
newton.m	Small script demonstrating a buckley leverett problem discretization and RB model reduction
newton_steps.m	Small script demonstrating a buckley leverett problem discretization and RB model reduction
newton_time_comparison.m
nonlin_symmetry.m	Small script demonstrating the burgers equation with explicit fv discretization and RB model reduction example is meant to demonstrate automatic symmetry detection by the algorithm. These results are presented at HYP2008
onedgrid_gridpart_old.m
online_greedy.m
oscillator_experiments.m
oscillator_model.m
porsche_script.m
quadr_nonlin_script.m
rb_nonlin_error_convergence.m	Small script performing a reduced basis simulation with the linear and nonlinear scheme and plotting the results
rb_tutorial.m
rb_tutorial_buggy.m
rbf_elliptic.m	Function for meshless collocation of fem-problem. step can be used to choose several cases. step=1 does not need to be called directly but is used by the other steps. So call step=2, 3 and change options there
richards_fv.m	Small script demonstrating the richards equation with explicit fv discretization and RB model reduction Bernard Haasdonk 14.8.2007
riemann_burgers.m	Script demonstrating the burgers equation with explicit fv discretization, empirical interpolation and RB model reduction
scm_example_script.m
simtech_animation.m	Small script performing animation, that can be captured
simtech_fuelcell_gdl.m	Small script demonstrating RB-approach for the fuelcell-gdl with the simtech image initial data
test_ei.m	Small script testing the empirical interpolation
test_lin_nonlin_evol.m	Small script performing one time step in linear and nonlinear mode and comparing the error. The error should ideally only be in the order of 10^-15
test_local_operator_evaluation.m	Small script testing, whether detailed and local operator evaluation are the same for detailed_nonlin_evol_simulation
thermal_block.m	Step = 1; % single detailed simulation and plot step = 2; % affine decomposition of FEM-matrix and RHS
thermalblock.m	Thermalblock example
thermalblock_optimization.m	Script performing different steps of optimization project
trajectory.m
twophase_flow.m
ulm_fuelcell_gdl.m	Small script demonstrating RB-approach for the fuelcell-gdl with the simtech image initial data
weak_strong_POD_Greedy_comp.m	Script comparing weak and strong POD-Greedy on lin_evol default example
test
gradient_approx_matrix_common_settings.m
test_all.m
test_basisgen_init.m	This test initializes different greedy algorithms for the generation of reduced basis and empirical operator interpolation spaces
test_cacheable_object.m	Test for the CacheableObject class
test_checkpointing.m	Executes some tests for the Checkpoint class
test_data_tree.m
test_ei_detailed.m	Tests for the generation of an empirical operator interpolant
test_fail.m	Stupid script for producing an error for testing the try catch functionality
test_gradient_approx.m	Performing a test of the gradient_approx routine
test_gradient_approx_matrix.m	Performing a test of the gradient_approx routine
test_indexed_node.m	Consistency tests for the DataTree.IdMapNode class
test_ldg_derivative.m
test_ldg_orthogonality.m
test_ldgfunc.m
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 \(\Lambda = \max_{x} \sum_{m=1}^M |\xi_m(x)| = 2^M - 1\)
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
test_matlab_convdiff.m	Routines. In particular simulation without diffusion must be 10 times faster!! returns 1, if test is OK, 0 otherwise
test_orthonormalize.m	Generating a time-sequence of data and orthogonalizing this. returns 1, if test is OK, 0 otherwise
test_p_part.m	Test of p-partition functionality
test_porsche.m
test_power_vector2.m	Function testing the powervectors and its derivatives, i.e. check whether finite difference approximates the derivative
test_rb_basisgen.m	Test showing a simple greedy basis generation
test_rb_lin_evol.m
test_rb_local_ext.m	Interpolation point are selected during the reduced_data generation phase
test_rb_richards_fv.m
test_stochastic_assessment.m	Consistency check for the StochasticAssessment helper classes
test_subgrid_operators.m
test_two_phase_datafunc.m	Performing a test of the correct implementation of derivatives in TwoPhaseData class
test_twophase_jacobian.m	Performing a test of the correct implementation of derivatives in TwoPhaseData class
test_xpart_map.m	Test for the XPartMap class