蒙特卡洛方法matlab程序

hattrick110

贴一个蒙特卡洛方法的matlab程序，供大家使用。
6 {0 g- D% \" h% ^6 x. X祝大家比赛都能取得好成绩
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% Example Monte Carlo Simulation in Matlab
- u$ \) D! l; c- y, c9 f' q& }& Y% Function: y = x2^2/x1
%
% Generate n samples from a normal distribution
0 a" b! ~" @/ Y$ Y: ~% r = ( randn(n,1) * sd ) + mu
% mu : mean
% i' ^5 `. }: c. N/ l% sd : standard deviation
%
. j5 A$ d* {$ D3 z# H% Generate n samples from a uniform distribution
% r = a + rand(n,1) * (b-a)
& x9 }( U3 f( Q0 l% a : minimum
6 A( K' J  Q" K, z+ H; N" N% b : maximum
n = 100000; % The number of function evaluations
% --- Generate vectors of random inputs
% x1 ~ Normal distribution N(mean=100,sd=5)
# H8 Q7 u9 i+ t  R1 I) l% x2 ~ Uniform distribution U(a=5,b=15)
/ [2 z! t5 e+ \1 o. Kx1 = ( randn(n,1) * 5 ) + 100;
x2 = 5 + rand(n,1) * ( 15 - 5 );
% --- Run the simulation
/ Z/ a. P: E/ `% Note the use of element-wise multiplication
y = x2.^2 ./ x1;
% --- Create a histogram of the results (50 bins)
0 c, k3 D( c8 h- t  ghist(y,50);
% --- Calculate summary statistics
& G* g) a- @' r. |# zy_mean = mean(y)
2 O4 M- l# \" Z- }  R' |y_std = std(y)
4 ~* J8 z8 i5 I+ i& |2 D$ U, Hy_median = median(y)

mma

多谢拉！！！！！！！

sjtucat5

thankyouverymuch

tzhggx

顶啊！不错啊！

BigTou

谢谢啦...................

rever99

个盲目反卷积程序是用模拟退火法做的，想请教

jafy2009

哈哈哈。。。谢谢！！！

eyehappy

thank you!!!!

cherry_s1218

看看。。。。。。

shuxinjian24134

xinga!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!