Trilinos based (stochastic) FEM solvers
run_station44.m File Reference

Go to the source code of this file.

Functions

Brian Staber (brian.staber @gmail.com) % clc clearvars close all modelParameters.mu
 
 load ('/home/s/staber/Trilinos_results/nrl/data/eij.mat')
 

Variables

modelParameters beta = [25.4185, 0.0432]
 
optimParameters station = 44
 
optimParameters np = 28
 
 angle_to_id = [5,6
 
 Yexpi = cell(4,1)
 
for j
 
for k
 
 Eyy = [eyy{ID(k)}{1}, eyy{ID(k)}{2}]
 
 Exy = [exy{ID(k)}{1}, exy{ID(k)}{2}]
 

Function Documentation

◆ load()

load ( '/home/s/staber/Trilinos_results/nrl/data/eij.mat'  )

◆ Staber()

Brian Staber ( brian.staber @gmail.  com)

Variable Documentation

◆ angle_to_id

angle_to_id = [5,6

Definition at line 17 of file run_station44.m.

◆ beta

modelParameters beta = [25.4185, 0.0432]

Definition at line 10 of file run_station44.m.

◆ Exy

Exy = [exy{ID(k)}{1}, exy{ID(k)}{2}]

Definition at line 24 of file run_station44.m.

◆ Eyy

Eyy = [eyy{ID(k)}{1}, eyy{ID(k)}{2}]

Definition at line 23 of file run_station44.m.

◆ j

for j
Initial value:
= 1:4
ID = angle_to_id(j,:)
angle_to_id
Definition: run_station44.m:17
for j
Definition: run_station44.m:19

Definition at line 19 of file run_station44.m.

◆ k

for k
Initial value:
= 1:2
Exx = [exx{ID(k)}{1}, exx{ID(k)}{2}]

Definition at line 21 of file run_station44.m.

◆ np

optimParameters np = 28

Definition at line 13 of file run_station44.m.

◆ station

optimParameters station = 44

Definition at line 12 of file run_station44.m.

◆ Yexpi

Yexpi = cell(4,1)

Definition at line 18 of file run_station44.m.