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Revision 1249, 501 bytes
(checked in by zimamiro, 14 years ago)
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| 1 | function mc_study(system,apriori,n) |
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| 2 | |
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| 3 | for i=1:n |
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| 4 | system.x=apriori.H(:,1)+sqrt(diag(apriori.H(:,2:5))).*randn(4,1); |
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| 5 | [losses(1,i) losses(2,i) losses(3,i)]=srovnej(system,apriori); |
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| 6 | end |
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| 7 | |
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| 8 | losses(1,:)=losses(1,:)./losses(3,:); |
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| 9 | losses(2,:)=losses(2,:)./losses(3,:); |
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| 10 | losses(3,:)=losses(3,:)./losses(3,:); |
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| 11 | |
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| 12 | hist(losses(1,:)); |
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| 13 | title([mean(losses(1,:)) median(losses(1,:))]) |
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| 14 | AXIS([0 5 ylim]) |
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| 15 | |
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| 16 | figure |
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| 17 | hist(losses(2,:)); |
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| 18 | title([mean(losses(2,:)) median(losses(2,:))]) |
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| 19 | AXIS([0 ylim]) |
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| 20 | |
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| 21 | end |
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