2 %Brian
Staber (brian.staber@gmail.com)
9 X = [1.847305797816567 1.604001927458218 1.907043912388506 1.706486189075632 1.769017508886223
10 0.005376710535645 0.114625779806038 0.154036583534123 0.057388351625262 0.000008510008773
11 0.005139929801197 0.122739679192122 0.167208494913353 0.059077990032629 0.000008510039000
12 1.567795920644496 1.226504600774701 0.902150886924485 1.314292350043600 2.019537222717919
13 0.079518524907316 0.054865622201899 0.036767744476560 0.061332096908722 0.147713367550041
14 24.274381300141435 29.806819794191611 39.150056931099662 27.971878357799234 16.420347459340434
15 0.002730236643057 0.093254046036705 0.184311975895317 0.039848773492742 0.000003791513270];
25 optimParameters.station = 44;
26 optimParameters.np = 32;
27 optimParameters.tol = 1
e-6;
28 optimParameters.nmc = 25;
30 modelParameters.lc = [11.180339887498949, 4.472135954999580];
31 modelParameters.delta = repmat(0.1,1,4);
35 %fd = fopen(strcat(
'/home/s/staber/Trilinos_results/nrl/random_generator_for_pca_likelihood/station', ...
36 % num2str(optimParameters.station),
'/output.txt'),
'w');
44 Exx = [exx{ID(k)}{1}, exx{ID(k)}{2}];
45 Eyy = [eyy{ID(k)}{1}, eyy{ID(k)}{2}];
46 Exy = [exy{ID(k)}{1}, exy{ID(k)}{2}];
52 modelParameters.
mu = 1e3*[
X(1,k), X(2,k), X(3,k), X(4,k), X(5,k)];
53 modelParameters.
beta = [X(6,k), X(7,k)];
55 output{k} = costFunction(modelParameters,optimParameters,
Yexpi);
57 save(strcat(
'result_meanModels_lnltdelta14_station',num2str(optimParameters.station),
'.mat'),
'output',
'-v7.3');
Brian Staber(brian.staber @gmail.com) % clc clearvars close all X
load('/home/s/staber/Trilinos_results/nrl/data/eij.mat')
fprintf(fp, '< ParameterList >\n\n')