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annotate m-toolbox/test/test_ao_metropolis.m @ 0:f0afece42f48

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author Daniele Nicolodi <nicolodi@science.unitn.it>
date Wed, 23 Nov 2011 19:22:13 +0100
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Daniele Nicolodi <nicolodi@science.unitn.it>
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1 % A test script for ao/metropolis
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Daniele Nicolodi <nicolodi@science.unitn.it>
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2 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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3 % M Nofrarias 17-03-09
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Daniele Nicolodi <nicolodi@science.unitn.it>
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4 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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5 % $Id: test_ao_metropolis.m,v 1.1 2009/03/18 14:00:13 miquel Exp $
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Daniele Nicolodi <nicolodi@science.unitn.it>
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6 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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7
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Daniele Nicolodi <nicolodi@science.unitn.it>
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8 %% Make gaussian distribution
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Daniele Nicolodi <nicolodi@science.unitn.it>
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9
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Daniele Nicolodi <nicolodi@science.unitn.it>
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10 gauss = ao(plist('xyfcn','1/(sqrt(2*pi)*2)*exp(-(x-5).^2./(2*2^2))','x',(-10:.01:20)))
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Daniele Nicolodi <nicolodi@science.unitn.it>
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11 gauss.setName('gaussian pdf')
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Daniele Nicolodi <nicolodi@science.unitn.it>
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12
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Daniele Nicolodi <nicolodi@science.unitn.it>
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13 %% Sample the distribution
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Daniele Nicolodi <nicolodi@science.unitn.it>
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14
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Daniele Nicolodi <nicolodi@science.unitn.it>
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15 pl = plist('N',500,'J',2,'sigma',2,'range',[0 1]);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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16 b = metropolis(gauss,pl)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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17
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Daniele Nicolodi <nicolodi@science.unitn.it>
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18 % compute histogram
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Daniele Nicolodi <nicolodi@science.unitn.it>
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19 c = hist(b,plist('N',15));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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20 prob = c./len(b(1))./(c(1).x(2)-c(1).x(1))
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Daniele Nicolodi <nicolodi@science.unitn.it>
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21 prob.setName('histogram')
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Daniele Nicolodi <nicolodi@science.unitn.it>
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22
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Daniele Nicolodi <nicolodi@science.unitn.it>
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23 %% Plot
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Daniele Nicolodi <nicolodi@science.unitn.it>
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24 iplot(gauss,prob,plist('LineStyles',{'-','--','--'},'Function','stairs'))
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Daniele Nicolodi <nicolodi@science.unitn.it>
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