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有些不同,randn是正态分布的随机数,c里面的srand其实跟matlab里的randomize作用一样,是随机种子！
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下面共有两个程序，程序2 加入了图形显示
程序1
这个程序就是你要的。
# include "stdio.h"
# include "math.h"
# include "stdlib.h"
# include "math.h"
# include "dos.h"
# define MAX_N 3000 /*这个值为N可以定义的最大长度*/
# define N 100 /*产生随机序列的点数，注意不要大于MAX_N*/
/*产生均匀分布的随机变量*/
void randa(float *x,int num);
/*产生瑞利分布的随机变量*/
void randr(float *x,int num);
/*产生标准高斯分布的随机变量*/
void randn(float *x,int num);
/*产生莱斯分布的随机变量*/
void randl(float *x, float a, float b, int num);
void fshow(char *name,float *x,int num);
main()
{
float x[N];
int i;
/*
randa(x,N);
randr(x,N);
randl(x,10,10,N);
*/
randn(x,N);
/*此时x[N]就是所需要的高斯分布的序列*/
/*显示该序列*/
fshow("x",x,N);
getch();
}
void randa(float *x,int num)
{
int i;
struct time stime;
unsigned seed;
gettime(stime);
seed=stime.ti_hund*stime.ti_min*stime.ti_hour;
srand(seed);
for(i=0;inum;i++)
{
x[i]=rand();
x[i]=x[i]/32768;
}
}
void randr(float *x,int num)
{
float x1[MAX_N];
int i;
struct time stime;
unsigned seed;
gettime(stime);
seed=stime.ti_hund*stime.ti_min*stime.ti_hour;
srand(seed);
for(i=0;inum;i++)
{
x1[i]=rand();
x[i]=x1[i]/32768;
x[i]=sqrt(-2*log(x[i]));
}
}
void randn(float *x,int num)
{
float x1[MAX_N],x2[MAX_N];
int i;
struct time stime;
unsigned seed;
gettime(stime);
seed=stime.ti_hund*stime.ti_min*stime.ti_hour;
srand(seed);
for(i=0;inum;i++)
{
x1[i]=rand();
x2[i]=rand();
x1[i]=x1[i]/32768;
x2[i]=x2[i]/32768;
x[i]=sqrt(-2*log(x1[i]))*cos(x2[i]*M_PI);
}
}
void randl(float *x, float a, float b, int num)
{
float x1[MAX_N],x2[MAX_N];
float temp[MAX_N];
int i;
struct time stime;
unsigned seed;
gettime(stime);
seed=stime.ti_hund*stime.ti_min*stime.ti_hour;
srand(seed);
for(i=0;inum;i++)
{
x1[i]=rand();
x2[i]=rand();
x1[i]=x1[i]/32768;
x2[i]=x2[i]/32768;
temp[i]=sqrt(-2*log(x1[i]))*cos(x2[i]*M_PI);
x2[i]=sqrt(-2*log(x1[i]))*sin(x2[i]*M_PI);
x1[i]=temp[i];
x[i]=sqrt((a+x1[i])*(a+x1[i])+(b+x2[i])*(b+x2[i]));
}
}
void fshow(char *name,float *x,int num)
{
int i,sign,L;
float temp;
printf("\n");
printf(name);
printf(" = ");
L=6;
/*按照每行6个数据的格式显示*/
for(i=0;inum;i++)
{
temp=i/L;
sign=temp;
if((i-sign*L)==0) printf("\n");
if(x[i]0) printf(" %f ",x[i]);
else printf("%f ",x[i]);
}
}
程序 2
以下程序加入了图形显示的效果，因此更加直观，你可以参考一下。
/* 作者 Leo_nanjing
时间 2008.5.10
功能 生成各种分布的随机变量,并显示
*/
# include "stdio.h"
# include "math.h"
# include "graphics.h"
# include "math.h"
# include "dos.h"
# define MAX_N 3000
# define N 1000
void randa(float *x,int num);
void randr(float *x,int num);
void randn(float *x,int num);
void randl(float *x, float a, float b, int num);
void fshow(char *name,float *x,int num);
/*用于图形显示的部分*/
void init_graphic(unsigned color);
void plotxy(float *x, float *y, int num,int mode);
void plot(float *y,int num, int mode);
float max(float *x, int num);
float min(float *x, int num);
/*画出该随机序列的分布函数曲线*/
void plotpdf(float *x,int num,int part,int mode);
main()
{
float x[N];
int i;
randn(x,N);
fshow("x",x,N);
getch();
/*以下为图形显示部分*/
init_graphic(0);
/*显示随机序列*/
plot(x,N,1);
getch();
/*显示其分布函数*/
plotpdf(x,N,20,0);
getch();
}
void randa(float *x,int num)
{
int i;
struct time stime;
unsigned seed;
gettime(stime);
seed=stime.ti_hund*stime.ti_min*stime.ti_hour;
srand(seed);
for(i=0;inum;i++)
{
x[i]=rand();
x[i]=x[i]/32768;
}
}
void randr(float *x,int num)
{
float x1[MAX_N];
int i;
struct time stime;
unsigned seed;
gettime(stime);
seed=stime.ti_hund*stime.ti_min*stime.ti_hour;
srand(seed);
for(i=0;inum;i++)
{
x1[i]=rand();
x[i]=x1[i]/32768;
x[i]=sqrt(-2*log(x[i]));
}
}
void randn(float *x,int num)
{
float x1[MAX_N],x2[MAX_N];
int i;
struct time stime;
unsigned seed;
gettime(stime);
seed=stime.ti_hund*stime.ti_min*stime.ti_hour;
srand(seed);
for(i=0;inum;i++)
{
x1[i]=rand();
x2[i]=rand();
x1[i]=x1[i]/32768;
x2[i]=x2[i]/32768;
x[i]=sqrt(-2*log(x1[i]))*cos(x2[i]*M_PI);
}
}
void randl(float *x, float a, float b, int num)
{
float x1[MAX_N],x2[MAX_N];
float temp[MAX_N];
int i;
struct time stime;
unsigned seed;
gettime(stime);
seed=stime.ti_hund*stime.ti_min*stime.ti_hour;
srand(seed);
for(i=0;inum;i++)
{
x1[i]=rand();
x2[i]=rand();
x1[i]=x1[i]/32768;
x2[i]=x2[i]/32768;
temp[i]=sqrt(-2*log(x1[i]))*cos(x2[i]*M_PI);
x2[i]=sqrt(-2*log(x1[i]))*sin(x2[i]*M_PI);
x1[i]=temp[i];
x[i]=sqrt((a+x1[i])*(a+x1[i])+(b+x2[i])*(b+x2[i]));
}
}
void fshow(char *name,float *x,int num)
{
int i,sign,L;
float temp;
printf("\n");
printf(name);
printf(" = ");
L=6;
for(i=0;inum;i++)
{
temp=i/L;
sign=temp;
if((i-sign*L)==0) printf("\n");
if(x[i]0) printf(" %f ",x[i]);
else printf("%f ",x[i]);
}
}
/*以下为图形显示的函数*/
void init_graphic(unsigned color)
{
int graphicdriver,graphicmode;
graphicdriver=DETECT;
graphicmode=1;
initgraph(graphicdriver,graphicmode,"E:\\turboc2\\");
setbkcolor(color);
}
void plotxy(float *x, float*y, int num,int mode)
{
int i;
float max_x,max_y,min_x,min_y;
float x0,y0,x1,y1;
clrscr(0);
cleardevice();
setbkcolor(0);
max_x=max(x,num);
max_y=max(y,num);
min_x=min(x,num);
min_y=min(y,num);
setlinestyle(0,2,1);
line(65,35,65,445);
line(65,445,575,445);
setlinestyle(3,0,1);
line(65,35,575,35);
line(575,35,575,445);
setlinestyle(0,2,1);
if(max_x==min_x)
x0=320;
else
x0=(x[0]-min_x)*500/(max_x-min_x)+70;
if(max_y==min_y)
y0=240;
else
y0=480-((y[0]-min_y)*400/(max_y-min_y)+40);
if(mode==0) circle(x0,y0,2);
for(i=1;inum;i++)
{
if(max_x==min_x)
x1=320;
else
x1=(x[i]-min_x)*500/(max_x-min_x)+70;
if(max_y==min_y)
y1=240;
else
y1=480-((y[i]-min_y)*400/(max_y-min_y)+40);
if(mode==0) circle(x1,y1,2);
line(x0,y0,x1,y1);
x0=x1;y0=y1;
}
printf("\n\n");
printf("%f",max_y);
printf("\n\n\n\n\n\n\n\n\n\n");
printf("\n\n\n");
printf("%f",(max_y+min_y)/2);
printf("\n\n\n\n\n\n\n\n\n\n");
printf("\n\n");
printf("%f",min_y);
printf("\n %f",min_x);
printf(" ");
printf("%f",(max_x+min_x)/2);
printf(" ");
printf("%f",max_x);
}
void plot(float*y, int num,int mode)
{
int i;
float max_x,max_y,min_x,min_y;
float x0,y0,x1,y1;
float x[MAX_N];
clrscr(0);
cleardevice();
setbkcolor(0);
for(i=0;inum;i++) x[i]=i+1;
max_x=max(x,num);
max_y=max(y,num);
min_x=min(x,num);
min_y=min(y,num);
setlinestyle(0,2,1);
line(65,35,65,445);
line(65,445,575,445);
setlinestyle(3,0,1);
line(65,35,575,35);
line(575,35,575,445);
setlinestyle(0,2,1);
if(max_x==min_x)
x0=320;
else
x0=(x[0]-min_x)*500/(max_x-min_x)+70;
if(max_y==min_y)
y0=240;
else
y0=480-((y[0]-min_y)*400/(max_y-min_y)+40);
if(mode==0) circle(x0,y0,2);
for(i=1;inum;i++)
{
if(max_x==min_x)
x1=320;
else
x1=(x[i]-min_x)*500/(max_x-min_x)+70;
if(max_y==min_y)
y1=240;
else
y1=480-((y[i]-min_y)*400/(max_y-min_y)+40);
if(mode==0) circle(x1,y1,2);
line(x0,y0,x1,y1);
x0=x1;y0=y1;
}
printf("\n\n");
printf("%f",max_y);
printf("\n\n\n\n\n\n\n\n\n\n");
printf("\n\n\n");
printf("%f",(max_y+min_y)/2);
printf("\n\n\n\n\n\n\n\n\n\n");
printf("\n\n");
printf("%f",min_y);
printf("\n %f",min_x);
printf(" ");
printf("%f",(max_x+min_x)/2);
printf(" ");
printf("%f",max_x);
}
void plotpdf(float *x,int num,int part,int mode)
{
int i,j;
float max_x,min_x,round,deltax,up,down,sum;
float xl[MAX_N],yl[MAX_N];
sum=0;
max_x=max(x,num);
min_x=min(x,num);
round=max_x-min_x;
deltax=round/part;
xl[0]=min_x;
for(i=1;i=part;i++)
{
xl[i]=min_x+deltax*i;
yl[i-1]=0;
up=xl[i];
down=xl[i-1];
for(j=0;jnum;j++)
{
if((x[j]up) (x[j]=down)) yl[i-1]=yl[i-1]+1;
}
yl[i-1]=yl[i-1]/num/deltax;
}
for(i=0;ipart;i++) sum=sum+yl[i];
plotxy(xl,yl,part,mode);
}
float max(float *x, int num)
{
int i;
float max;
max=x[0];
for(i=1;inum;i++)
{
if(x[i]max) max=x[i];
}
return max;
}
float min(float *x, int num)
{
int i;
float min;
min=x[0];
for(i=1;inum;i++)
{
if(x[i]min) min=x[i];
}
return min;
}
（1）
假设X的均值μ，方差σ^2
那么y=ax+b的均值则为a*μ+b, 方差为：a^2*σ^2
Matlab的randn函数可以产生均值为0，方差为1的正态分布，
那么如果我们要生成一个均值为500，方差为25的1000个随机数，
a=5;
b=500;
y=a*randn(1000,1)+b;
验证
stats = [mean(y) std(y) var(y)]
stats = 1×3
499.8368 4.9948 24.9483
（2）
Matlab还有一个函数是random('name',A,B)
通过设置‘name’参数和A,B参数来生成一系列随机数
比如要想生成均值为0，方差为25的正态分布的数组， 那么
y=random('norm', 0, 5)
有些不同，randn是正态分布的随机数，c里面的srand其实跟matlab里的randomize作用一样，是随机种子