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author | Daniele Nicolodi <nicolodi@science.unitn.it> |
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date | Mon, 05 Dec 2011 16:20:06 +0100 |
parents | f0afece42f48 |
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% A test script for ao/metropolis % % M Nofrarias 17-03-09 % % $Id: test_ao_metropolis.m,v 1.1 2009/03/18 14:00:13 miquel Exp $ % %% Make gaussian distribution gauss = ao(plist('xyfcn','1/(sqrt(2*pi)*2)*exp(-(x-5).^2./(2*2^2))','x',(-10:.01:20))) gauss.setName('gaussian pdf') %% Sample the distribution pl = plist('N',500,'J',2,'sigma',2,'range',[0 1]); b = metropolis(gauss,pl) % compute histogram c = hist(b,plist('N',15)); prob = c./len(b(1))./(c(1).x(2)-c(1).x(1)) prob.setName('histogram') %% Plot iplot(gauss,prob,plist('LineStyles',{'-','--','--'},'Function','stairs'))