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Revision 1105, 0.7 kB
(checked in by zimamiro, 14 years ago)
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| 1 | function losses=mc_study2(system,range,n)
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| 2 |
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| 3 | load 'eta.txt';
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| 4 | load 'Beta.txt';
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| 5 | load 'ny.txt';
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| 6 | H1(:,:,1)=eta;
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| 7 | H1(:,:,2)=Beta;
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| 8 | u1=ny;
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| 9 |
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| 10 | load 'eta2.txt';
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| 11 | load 'Beta2.txt';
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| 12 | load 'ny2.txt';
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| 13 | H2(:,:,1)=eta2;
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| 14 | H2(:,:,2)=Beta2;
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| 15 | u2=ny2;
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| 16 | for i=1:n
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| 17 | apriori(3)=range.P0;
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| 18 | system.b=range.b0 + apriori(3)*randn;
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| 19 | apriori(2)=range.b0 + apriori(3)*randn;
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| 20 | apriori(1)=range.y0 + range.y0_range*randn;
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| 21 | while (system.b==0)
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| 22 | system.b=range.b0 + apriori(3)*randn;
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| 23 | end
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| 24 | while (apriori(2)==0)
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| 25 | apriori(2)=range.b0 + apriori(3)*randn;
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| 26 | end
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| 27 | seed=randn(1,size(H1,1)+2);
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| 28 | losses(1,i)=rizeni(H1,u1,system,apriori,seed);
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| 29 | % losses(2,i)=rizeni(H2,u2,system,apriori,seed);
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| 30 | end
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| 31 | end |
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