代码搜索：deviation

找到约 1,443 项符合「deviation」的源代码

代码结果 1,443
热门代码： main.c GPIO I2C SPI UART timer interrupt ADC PWM LED
www.eeworm.com/read/287843/8665601

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));
·
www.eeworm.com/read/431596/8666309

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));
·
www.eeworm.com/read/431446/8676521

m gngauss.m

function[gsrv1,gsrv2]=gngauss(m,sgma) % m--mean, sgma--standard deviation if nargin==0, m=0;sgma=1; elseif nargin==1, sgma=m;m=0; end; u=rand; z=sgma*(sqrt(2*log(1/(1-u)))); %a R
·
www.eeworm.com/read/431446/8676533

m gngauss.m

function[gsrv1,gsrv2]=gngauss(m,sgma) % m--mean, sgma--standard deviation if nargin==0, m=0;sgma=1; elseif nargin==1, sgma=m;m=0; end; u=rand; z=sgma*(sqrt(2*log(1/(1-u)))); %a R
·
www.eeworm.com/read/187097/8856642

java agentvariants.java

package asm; /** * Title: Artificial Stock Market * Description: 人工模拟股市（来源：SFI的Swarm版本）的Java版本 * Copyright: Copyright (c) 2003 * Company: http://agents.yeah.net * @author jake *
·
www.eeworm.com/read/184267/9114085

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));
·
www.eeworm.com/read/184267/9114120

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));
·
www.eeworm.com/read/183964/9128693

m gngauss.m

function[gsrv1,gsrv2]=gngauss(m,sgma) % m--mean, sgma--standard deviation if nargin==0, m=0;sgma=1; elseif nargin==1, sgma=m;m=0; end; u=rand; z=sgma*(sqrt(2*log(1/(1-u)))); %a R
·
www.eeworm.com/read/183964/9128713

m gngauss.m

function[gsrv1,gsrv2]=gngauss(m,sgma) % m--mean, sgma--standard deviation if nargin==0, m=0;sgma=1; elseif nargin==1, sgma=m;m=0; end; u=rand; z=sgma*(sqrt(2*log(1/(1-u)))); %a R
·
www.eeworm.com/read/182909/9185928

m main.m

% Program 2-3 % main.m % % calculate mean, dispersion and standard deviation for the vector data % % Programmed by H.Harada % data=rand(1,20); mvalue2=mvalue(data); [sigma2, sigma]= disper(
·