Talk:Matlab for Convex Optimization & Euclidean Distance Geometry

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<pre>
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clear all;
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x = randn(4,7);
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y = randn(3,7);
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D1 = Dx(x);
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D2 = Dx(y);
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E = (sqrt(D1) + sqrt(D2))/2;
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isedm(E.*E)
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F = (log(1+D1) + log(1+D2))/2;
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isedm(exp(E)-1)
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</pre>

Revision as of 00:06, 25 February 2009


clear all;

x = randn(4,7);
y = randn(3,7);
D1 = Dx(x);
D2 = Dx(y);

E = (sqrt(D1) + sqrt(D2))/2;
isedm(E.*E)

F = (log(1+D1) + log(1+D2))/2;
isedm(exp(E)-1)

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