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<div class="moz-cite-prefix">Hello Paul,<br>
<br>
Le 09/06/2016 17:28, Carrico, Paul a écrit :<br>
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<p class="MsoNormal">Dear all<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal"><span lang="EN-US">(not sure to really
master the topic but …)<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US"><o:p> </o:p></span></p>
<p class="MsoNormal"><span lang="EN-US">In my current study,
I’ve 16 variables that I would like to perturbate 10 times ;
of course each variable is different from the others.<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US">A1 = 10 +
2*rand(10,1,”uniform”)<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US">A2 = 5 +
0.5*rand(10,1,”uniform”)<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US">…<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US">A16 = 0.2
+0.01**rand(10,1,”uniform”)<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US"><o:p> </o:p></span></p>
<p class="MsoNormal"><span lang="EN-US"><o:p> </o:p></span></p>
<p class="MsoNormal"><span lang="EN-US">Except if I’m mistaken,
I’ve about 16^10=1E12 combinations that is a (16xn) huge
matrix M (n greater than 6E10) : how can I create such
matrix ?</span></p>
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It depends how you build a sample: is a sample a {A1(i),
A2(j),......., A16(x)} set?<br>
Then, there are 10^16 possibilities.<br>
You can build them with ndgrid(), provided that you have hexabytes
of RAM, (really) many processors, and of course Scilab 6. Do you? :)<br>
Or you may have a look at DOE theory, and tools:
<a class="moz-txt-link-freetext" href="https://atoms.scilab.org/toolboxes/scidoe">https://atoms.scilab.org/toolboxes/scidoe</a><br>
<br>
BR<br>
Samuel<br>
<br>
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