| 1 | % Random Variables |
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| 2 | a=RV({'a'}); |
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| 3 | b=RV({'b'}); |
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| 4 | ab=RVjoin([a,b]); |
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| 5 | |
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| 6 | % Sources |
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| 7 | f1.class= 'enorm<ldmat>'; |
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| 8 | f1.mu = 5; |
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| 9 | f1.R = 1; |
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| 10 | f1.rv = b; |
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| 11 | |
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| 12 | % merger |
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| 13 | Merger.class='merger_mix'; |
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| 14 | Merger.method='lognormal'; |
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| 15 | Merger.beta=1.2; |
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| 16 | Merger.ncoms=20; |
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| 17 | Merger.stop_niter=50; |
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| 18 | Merger.effss_coef=0.9; |
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| 19 | %Merger.dbg_file='merger_mix_dbg'; |
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| 20 | |
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| 21 | |
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| 22 | % 2D sources |
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| 23 | f3 = struct('class','enorm<ldmat>',... |
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| 24 | 'mu',[1,2],... |
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| 25 | 'R', [1 -0.5; -0.5 1],... |
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| 26 | 'rv', ab); |
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| 27 | f4 = struct('class','mlnorm<ldmat>',... |
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| 28 | 'rv',a,... |
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| 29 | 'rvc', b,... |
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| 30 | 'A', 1,... |
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| 31 | 'const', 0,... |
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| 32 | 'R',1); |
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| 33 | % 2D support |
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| 34 | support2.class='rectangular_support'; |
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| 35 | support2.ranges={[-5,5],[0.001,9]}; |
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| 36 | support2.gridsizes=[30,30]; |
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| 37 | |
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| 38 | % 2D |
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| 39 | %vy2=merger({f3,f1}, support2, Merger) |
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| 40 | vy2=merger({f3,f4}, support2, Merger) |
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| 41 | |
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| 42 | figure(2); |
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| 43 | subplot(2,2,1); |
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| 44 | contour_2(vy2.support(1,:),vy2.support(2,:),vy2.source1) |
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| 45 | % set(gca,'XLim',[-5,5]) |
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| 46 | % set(gca,'YLim',[-1,7]) |
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| 47 | title('Source 1') |
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| 48 | subplot(2,2,2); |
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| 49 | contour_2(vy2.support(1,:),vy2.support(2,:),vy2.source2') |
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| 50 | % set(gca,'XLim',[-5,5]) |
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| 51 | % set(gca,'YLim',[-1,7]) |
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| 52 | title('Source 2') |
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| 53 | |
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| 54 | subplot(2,2,3); |
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| 55 | hold off |
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| 56 | contour_2(vy2.support(1,:),vy2.support(2,:),vy2.mix) |
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| 57 | % set(gca,'XLim',[-5,5]) |
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| 58 | % set(gca,'YLim',[-1,7]) |
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| 59 | title('Mixture Approximation') |
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| 60 | |
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| 61 | subplot(2,2,4); |
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| 62 | hold off |
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| 63 | plot(vy2.support(1,:),vy2.support(2,:),'.','MarkerSize',4) |
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| 64 | hold on |
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| 65 | contour_2(vy2.support(1,:),vy2.support(2,:),vy2.weights) |
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| 66 | % set(gca,'XLim',[-5,5]) |
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| 67 | % set(gca,'YLim',[-1,7]) |
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| 68 | title('Weighted Empirical') |
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| 69 | |
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