quadratic poisson equation on unit interval More...

Functions
function model =	quadratic_poisson_model ()
	quadratic poisson equation on unit interval More...

function model_data =	quadraticpoissonmodel>my_gen_model_data (model)

function sim_data =	quadraticpoissonmodel>my_detailed_simulation (model, model_data)

function p =	quadraticpoissonmodel>my_plot_sim_data (model, detailed_data, sim_data, plot_params)

function detailed_data =	quadraticpoissonmodel>my_gen_detailed_data (model, model_data)

function reduced_data =	quadraticpoissonmodel>my_gen_reduced_data (model, detailed_data)

function rb_sim_data =	quadraticpoissonmodel>my_rb_simulation (model, reduced_data)

function rb_sim_data =	quadraticpoissonmodel>my_rb_reconstruction (model, detailed_data, rb_sim_data)

function K =	quadraticpoissonmodel>my_inner_product_matrix (model_data)

function b_comp =	quadraticpoissonmodel>my_b_components (model)

function b_coeff =	quadraticpoissonmodel>my_b_coefficients (model)

function f_comp =	quadraticpoissonmodel>my_f_components (model)

function f_coeff =	quadraticpoissonmodel>my_f_coefficients (model)

function au_comp =	quadraticpoissonmodel>my_au_components (model, u)

function a_coeff =	quadraticpoissonmodel>my_a_coefficients (model)

Detailed Description

quadratic poisson equation on unit interval

Function Documentation

function model = quadratic_poisson_model ( )

quadratic poisson equation on unit interval

u on [0,1] such that

parameters k and m

discretization with Finite differences

inner product: l2-inner product, piecewise linear elements

Return values

model model

Generated fields of model:

mu_names — a string array containing the symbolic names of the parameter vector \(\mu\)
mu_ranges — matrix storing the admissable ranges for parameter vector components. Each two dimensional column vector represents a range for a component specified by model.mu_names.
xrange — xrange
xnumintervals — xnumintervals
dx — dx
gen_model_data — gen model data
detailed_simulation — detailed simulation
plot_sim_data — problem specific function performing the plot of the simulation results.
set_mu — set mu
b_coefficients — b coefficients
b_components — b components
f_coefficients — f coefficients
f_components — f components
a_coefficients — a coefficients
au_components — au components
gen_detailed_data — gen detailed data
rb_reconstruction — rb reconstruction
gen_reduced_data — gen reduced data
rb_simulation — rb simulation
get_rb_size — get rb size
get_mu — get mu
is_stationary — is stationary
reduced_data_subset — reduced data subset
get_dofs_from_sim_data — function u=f(sim_data) returning degrees of freedom stored in a sim_data structure.
gridtype — gridtype
no_lines — no lines
axis_equal — axis equal
inner_product_matrix — inner product matrix
RB_Mtrain_size — RB Mtrain size
Newton_eps — Newton eps
enable_error_estimator — enable error estimator

Definition at line 17 of file quadratic_poisson_model.m.