small script demonstrating a buckley leverett problem discretization and RB model reduction More...
Go to the source code of this file.
Functions | |
function [
descr , rdescr , dmodel , rmodel ] = | newton (steps, combined, M_by_N_ratio, noof_ei_extensions, use_laplacian, model_size, random, num_cpus, Mstrich) |
small script demonstrating a buckley leverett problem discretization and RB model reduction More... | |
small script demonstrating a buckley leverett problem discretization and RB model reduction
Definition in file newton.m.
function [ descr , rdescr , dmodel , rmodel ] = newton | ( | steps, | |
combined, | |||
M_by_N_ratio, | |||
noof_ei_extensions, | |||
use_laplacian, | |||
model_size, | |||
random, | |||
num_cpus, | |||
Mstrich | |||
) |
small script demonstrating a buckley leverett problem discretization and RB model reduction
steps | steps |
combined | combined |
M_by_N_ratio | M by N ratio |
noof_ei_extensions | noof ei extensions |
use_laplacian | use laplacian |
model_size | model size |
random | random |
num_cpus | num cpus |
Mstrich | Mstrich |
descr | descr |
rdescr | rdescr |
dmodel | dmodel |
rmodel | rmodel |
rb_problem_type —
rb problem type train_sample_mode —
train sample mode train_num_intervals —
train num intervals stop_max_val_train_ratio —
stop max val train ratio stop_timeout —
stop timeout stop_Nmax —
stop Nmax stop_Mmax —
stop Mmax stop_epsilon —
stop epsilon val_size —
val size ei_minimum_residual —
ei minimum residual extension_M_by_N_r —
extension M by N r noof_ei_extensions —
noof ei extensions maximum_temporary_error_growth_factor —
maximum temporary error growth factor max_refinement_level —
max refinement level Mmax_small —
Mmax small ei_epsilon_small —
ei epsilon small indicator_mode —
indicator mode refinement_theta —
refinement thetaMstrich —
Mstrich enable_error_estimator —
enable error estimator num_cpus —
num cpusnum_cpus —
num cpus Definition at line 17 of file newton.m.