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<div class="moz-cite-prefix">Le 10/06/2016 à 15:59, Jens Simon Strom
a écrit :<br>
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<blockquote cite="mid:575AC7C5.9070206@hslmg.de" type="cite">
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<span lang="EN-US"> rand(n,1)–rand(n,1)</span> is definitely NOT
uniform.</blockquote>
by convolution the density of such a variable seems triangle shaped
:<br>
<br>
f(x)=1/2-abs(x)/4, if x \in [-2,2]<br>
=0, elsewhere<br>
<br>
<br>
S.<br>
<br>
<br>
<blockquote cite="mid:575AC7C5.9070206@hslmg.de" type="cite"> Jens<br>
------------------------------------------------------------------------------<br>
<div class="moz-cite-prefix">Am 10.06.2016 15:33, schrieb Samuel
Gougeon:<br>
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<div class="moz-cite-prefix">Le 10/06/2016 15:21, Carrico, Paul
a écrit :<br>
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cite="mid:3A6B7233274DB449A2A0053A47684F953F6B49C9@BGS-EX01.auxitrol.ad"
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<p class="MsoNormal"><span lang="EN-US">Hi</span></p>
<p class="MsoNormal"><span lang="EN-US"> </span></p>
<p class="MsoNormal"><span lang="EN-US">In order to simulate
dimensional tolerances in +/-, I’m using the following
workaround : </span></p>
<p class="MsoNormal"><span lang="EN-US">n = 100;</span></p>
<p class="MsoNormal"><span lang="EN-US">a = rand(n,1) –
rand(n,1);</span></p>
<p class="MsoNormal"><span lang="EN-US"> </span></p>
<p class="MsoNormal"><span lang="EN-US">Of course I need to
increase the N value to the domain … is there a more
“clever” way ? </span></p>
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grand(n,1,"unf",-1,1)<br>
<br>
BTW, i am not sure that <span lang="EN-US">
rand(n,1)–rand(n,1) builds (or keeps) a uniform distribution
over [-1, 1].<br>
<br>
Samuel<br>
<br>
</span> <br>
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<pre class="moz-signature" cols="72">--
Département de Génie Informatique
EA 4297 Transformations Intégrées de la Matière Renouvelable
Université de Technologie de Compiègne - CS 60319
60203 Compiègne cedex</pre>
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