代码搜索：deviation
找到约 1,443 项符合「deviation」的源代码
代码结果 1,443
www.eeworm.com/read/268231/11148954
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/335780/12499632
m ourstats.m
function[avg,stdev,r]=ourstats(x,tol)
% OURSTATS多输入输出参数示例
% 该函数计算处理矩阵，得到相应的均值、标准差和矩阵的秩
double x
[m,n]=size(x);
if m==1
m=n;
end
% Average
avg=sum(x)/m;
Sandad deviation
stdev=sqrt(sum(x
www.eeworm.com/read/335780/12499640
m ourstats.m
function[avg,stdev,r]=ourstats(x,tol)
% OURSTATS多输入输出参数示例
% 该函数计算处理矩阵，得到相应的均值、标准差和矩阵的秩
double x
[m,n]=size(x);
if m==1
m=n;
end
% Average
avg=sum(x)/m;
Sandad deviation
stdev=sqrt(sum(x
www.eeworm.com/read/249425/12506081
java normaldistribution.java
package dataprocess;
import java.lang.Math;
public class NormalDistribution implements DistributionStrategy {
private NormalDistribution() {
}
protected static NormalDistribution getIn
www.eeworm.com/read/147096/12583773
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/147096/12584172
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/147096/12586235
m gwnoise.m
function [m, d, s] = gwnoise(m, d, s)
%GWNOISE generates a valid mean value, standard deviation and seeds for GWNOISE block.
% [M, D, S] = GWNOISE(M, D, S) checks input mean M, standard deviation D,
www.eeworm.com/read/146584/12637238
txt d9r1.txt
Private Sub Command1_Click()
'PROGRAM D9R1
'Driver for routine FIT
NPT = 100
SPREAD = 0.5
Dim X(100), Y(100), SIG(100)
IDUM& = -117
For I = 1 To NPT
X(I) =
www.eeworm.com/read/300562/13905573
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/300562/13905644
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));