function demonstrating RB approach for linear dynamical systems according to MATHMOD 2009 paper More...

Functions
function	demo_lin_ds ()
	function demonstrating RB approach for linear dynamical systems according to MATHMOD 2009 paper More...

function A =	demolinds>A_func (model, model_data)

function Acomp =	demolinds>A_components (model, model_data)

function Acoeff =	demolinds>A_coefficients (model)

function B =	demolinds>B_func (model, model_data)

function Bcomp =	demolinds>B_components (model, model_data)

function Bcoeff =	demolinds>B_coefficients (model)

function C =	demolinds>C_func (model, model_data)

function Ccomp =	demolinds>C_components (model, model_data)

function Ccoeff =	demolinds>C_coefficients (model)

function D =	demolinds>D_func (model, model_data)

function x0 =	demolinds>x0_func (model, model_data)

function x0comp =	demolinds>x0_components (model, model_data)

function x0coeff =	demolinds>x0_coefficients (model)

Detailed Description

function demonstrating RB approach for linear dynamical systems according to MATHMOD 2009 paper

Definition in file demo_lin_ds.m.

Function Documentation

function demo_lin_ds ( )

function demonstrating RB approach for linear dynamical systems according to MATHMOD 2009 paper

Method also demonstrates new call of all reduced schemes

model_data = gen_model_data(model);

sim_data = detailed_simulation(model,model_data); produces some structure with suitable fields, e.g DOF vector output sequence, reference to output files, simulation information, etc. Last parameter is model-struct, possibly precedent parameters, e.g. grid, etc. so not only DOF-vector is the return argument, but a structure detailed_data = gen_detailed_data(model,model_data); produce high-dimensional data, e.g. reduced basis, etc. mu is not known. reduced_data = gen_reduced_data(model,detailed_data); produce low-dimensional data, e.g. gram matrices between reduced basis vectors, subgrid extraction, etc. mu is not known (so is the previous offline-data or combination of offline and online data) rb_sim_data = rb_simulation(model,reduced_data) perform reduced simulation, i.e. mu known produces some structure with suitable fields, e.g DOF vector, error estimation

Further routines "extending" datasets, e.g.: rb_sim_data = rb_reconstruction(rb_sim_data,model) reduced_data = extract_reduced_data_subset(reduced_data,model) detailed_sim_data = rb_basis_generation(detailed_data,model)

Definition at line 17 of file demo_lin_ds.m.

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function x0coeff = demolinds>x0_coefficients ( model )

Documentation Update:

Definition at line 301 of file demo_lin_ds.m.

Functions

Detailed Description

Function Documentation