model = scm_minimal_model(size) More...
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Functions | |
function model = | scm_minimal_model (size) |
model = scm_minimal_model(size) More... | |
function
model_data = | scmminimalmodel>scm_minimal_model_gen_model_data (model) |
function [
A , b ] = | scmminimalmodel>scm_minimal_model_operators (model, model_data) |
model = scm_minimal_model(size)
Definition in file scm_minimal_model.m.
function model = scm_minimal_model | ( | size | ) |
model = scm_minimal_model(size)
with A^1 = K and A^2 holding the rest of A so that A = (1-mu)*A^1 + mu*A^2 This is coercive for mu = 0 (with alpha = beta = 1) and inf-sup stable (but not coercive) for mu = 1. This minimal model is used in the scm_demo to proof, that the lin_stat
inf-sup code is actually working.
size | size |
model | model |
size —
size rb_problem_type —
rb problem type verbose —
flag indicating the verbosity level of informative output set_mu —
set mu get_mu —
get mu gen_model_data —
gen model data get_inner_product_matrix —
function W=f(model_data)
returning the mass matrix \(W\) for inner product computation \(\langle u,v \rangle = u^t W v\). mu_names —
a string array containing the symbolic names of the parameter vector \(\mu\) mu —
the parameter vector \(\mu\). It should only be set via the function set_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
. decomp_mode —
flag indicating the operation mode of the function:mu_names
.mu_names
. operators —
operators use_scm —
use scm scm_M_alpha —
scm M alpha scm_M_plus —
scm M plus scm_eps_tol —
scm eps tol scm_size_C —
scm size C Definition at line 17 of file scm_minimal_model.m.