代码搜索:normal

找到约 10,000 项符合「normal」的源代码

代码结果 10,000
www.eeworm.com/read/118409/14873330

gif normal.gif

www.eeworm.com/read/219562/14875848

h normal.h

// 文件过滤属性 #define FLAG_NORMAL 0 #define FLAG_SINGLE_DOT 1 #define FLAG_DOUBLE_DOT 2 #define FLAG_PREV_CHAR 3 // 装入数据步骤 #define LOAD_STEP_DONE 0 #define LOAD_STEP_DATA0 1 #defi
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cpp normal.cpp

#include "stdafx.h" #include "normal.h" //================================================================================================= // 转换字符为数据 //=======================================
www.eeworm.com/read/216898/14987048

h normal.h

/* * This is a modification of the Kinderman + Monahan algorithm for * generating normal random numbers, due to Leva: * * J.L. Leva, Algorithm 712. A normal random number generator, ACM Trans. *
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m normal.m

function y=normal(x,m,s) % FUNCTION y=NORMAL(x,m,s) % Gaussian distribution % m=mean % s=standard deviation y=(1/sqrt(2*pi*s^2))*exp(-((x-m).^2)/(2*s^2));
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h normal.h

// Normal.h -*- C++ -*- /* Copyright (C) 1988 Free Software Foundation written by Dirk Grunwald (grunwald@cs.uiuc.edu) This file is part of the GNU C++ Library. This library is free s
www.eeworm.com/read/213958/15120523

cc normal.cc

// Normal.cc /* Copyright (C) 1988 Free Software Foundation written by Dirk Grunwald (grunwald@cs.uiuc.edu) This file is part of the GNU C++ Library. This library is free software; you can red
www.eeworm.com/read/213940/15121878

m normal.m

function y=normal(x,m,s) % FUNCTION y=NORMAL(x,m,s) % Gaussian distribution % m=mean % s=standard deviation y=(1/sqrt(2*pi*s^2))*exp(-((x-m).^2)/(2*s^2));
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m normal.m

%产生n个N(a,b)正态分布随机数 %其中a为均值,b为方差 %function x=normal(a,b,n) function x=normal(a,b,n) m=48;% for i=1:n r=rand(1,m); x(i)=a+sqrt(b)*(sum(r)-m/2)/sqrt(m/12); end
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gif normal.gif