Trilinos based (stochastic) FEM solvers
run_meanModels.m File Reference

Go to the source code of this file.

Functions

Brian Staber (brian.staber @gmail.com) % clc clearvars close all X
 

Variables

 X = [1.0
 
optimParameters station = 44
 
optimParameters np = 32
 
optimParameters tol = 1e-6
 
optimParameters nmc = 25
 
modelParameters lc = [11.180339887498949, 4.472135954999580]
 
modelParameters delta = repmat(0.1,1,4)
 
 output = cell(size(X,2),1)
 

Function Documentation

◆ Staber()

Brian Staber ( brian.staber @gmail.  com)

Variable Documentation

◆ delta

modelParameters delta = repmat(0.1,1,4)

Definition at line 31 of file run_meanModels.m.

◆ lc

modelParameters lc = [11.180339887498949, 4.472135954999580]

Definition at line 30 of file run_meanModels.m.

◆ nmc

optimParameters nmc = 25

Definition at line 28 of file run_meanModels.m.

◆ np

optimParameters np = 32

Definition at line 26 of file run_meanModels.m.

◆ output

output = cell(size(X,2),1)

Definition at line 33 of file run_meanModels.m.

◆ station

optimParameters station = 44

Definition at line 25 of file run_meanModels.m.

◆ tol

optimParameters tol = 1e-6

Definition at line 27 of file run_meanModels.m.

◆ X

X = [1.0

Definition at line 17 of file run_meanModels.m.