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回复:(beyond)[求助]C语言中如何产生gauss分布的随...
一 理论上,计算任意f分布的随机数: <br>假如你要产生分布函数为f(x)的随机数序列,首先获得一个均匀分布序列A, <br>同时求出f(x)的反函数g(x), 然后将序列A的元素代入g(x)中, 然后计算出新的一个序列B. <br>B序列就满足f(x)分布. <br>二 Box-Muller 变换方法 <br>y1 = sqrt( - 2 ln(x1) ) cos( 2 pi x2 ) <br>y2 = sqrt( - 2 ln(x1) ) sin( 2 pi x2 ) 如果只想得到一个则y2不需计算 <br>说明:x1,x2是0到1的均匀分布随机数。 <br>由于需要计算三角函数,所以速度很慢,而且当x1接近0时不稳定。最好采用Box-Muller的极坐标方法 <br>三 Box-Muller的极坐标方法 <br>float x1, x2, w, y1, y2; <br>do { <br>x1 = 2.0 * ranf() - 1.0; <br>x2 = 2.0 * ranf() - 1.0; <br>w = x1 * x1 + x2 * x2; <br>} while ( w >= 1.0 ); <br><br>w = sqrt( (-2.0 * ln( w ) ) / w ); <br>y1 = x1 * w; <br>y2 = x2 * w; <br>代码: <br>代码: #ifndef _M_GAUSSRANDOM_2004_6_28_ZHY <br>#define _M_GAUSSRANDOM_2004_6_28_ZHY <br><br>#pragma warning(disable:4786) <br><br>#include <vector> <br>#include <cmath> <br>using namespace std; <br><br>#include <time.h> <br><br>namespace Statical <br>{ <br> class CUniRandom <br> { <br> public: <br> CUniRandom():s(65536.0),u(2053.0),v(13849.0){} <br> void SetSeed(const double& seed) <br> { <br> r = seed; <br> } <br> void GetRandom(double& result) <br> { <br> r = u * r + v; <br> m = (int)(r/s); <br> r = r - m * s; <br> result = r/s; <br> } <br> private: <br> double s,u,v,r; <br> int m; <br> }; <br> <br> void Uniform_Random(double& r,vector<double>& vResult,int nNum) <br> { <br> vResult.resize(nNum); <br><br> int i,m; <br> double s = 65536.0,u = 2053.0,v = 13849.0; <br> for(i = 0; i <= nNum-1; i++) <br> { <br> r = u * r + v; <br> m = (int)(r/s); <br> r = r - m * s; <br> vResult = r/s; <br> } <br> } <br><br> void Gauss_Random(double& y) <br> { <br> float x1, x2, w; <br> CUniRandom randContainer; <br> randContainer.SetSeed(time(NULL)); <br> do { <br> double r; <br><br> randContainer.GetRandom(r); <br> x1 = 2.0 * r - 1.0; <br><br> randContainer.GetRandom(r); <br> x2 = 2.0 * r - 1.0; <br><br> w = x1 * x1 + x2 * x2; <br> } while ( w >= 1.0 ); <br><br> w = sqrt( (-2.0 * log( w ) ) / w ); <br> y = x1 * w; <br> } <br><br> void Gauss_Random(double& y1,double& y2) <br> { <br> float x1, x2, w; <br> CUniRandom randContainer; <br> randContainer.SetSeed(time(NULL)); <br> do { <br> double r; <br><br> randContainer.GetRandom(r); <br> x1 = 2.0 * r - 1.0; <br><br> randContainer.GetRandom(r); <br> x2 = 2.0 * r - 1.0; <br><br> w = x1 * x1 + x2 * x2; <br> } while ( w >= 1.0 ); <br><br> w = sqrt( (-2.0 * log( w ) ) / w ); <br> y1 = x1 * w; <br> y2 = x2 * w; <br> } <br><br> void Gauss_Random(vector<double>& result,int nNum) <br> { <br> result.resize(nNum); <br><br> float x1, x2, w; <br> CUniRandom randContainer; <br> randContainer.SetSeed(time(NULL)); <br> for(int i = 0; i < nNum; i++) <br> { <br> do { <br> double r; <br><br> randContainer.GetRandom(r); <br> x1 = 2.0 * r - 1.0; <br><br> randContainer.GetRandom(r); <br> x2 = 2.0 * r - 1.0; <br><br> w = x1 * x1 + x2 * x2; <br> } while ( w >= 1.0 ); <br><br> w = sqrt( (-2.0 * log( w ) ) / w ); <br> result = x1 * w; <br> } <br> } <br>}; <br><br>#endif
[此贴子已经被作者于2005-9-6 11:18:05编辑过]
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