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/133952/5896866
m stats_3.m
% Script file: stats_3.m
%
% Purpose:
% To calculate mean and the standard deviation of
% an input data set, where each input value can be
% positive, negative, or zero.
%
% Reco
www.eeworm.com/read/117387/6103888
java meanandstandarddeviation.java
/* ===========================================================
* JFreeChart : a free chart library for the Java(tm) platform
* ===========================================================
*
* (
www.eeworm.com/read/114835/6122206
java meanandstandarddeviation.java
/* ======================================
* JFreeChart : a free Java chart library
* ======================================
*
* Project Info: http://www.jfree.org/jfreechart/index.html
* Pr
www.eeworm.com/read/112739/6144510
java meanandstandarddeviation.java
/* ======================================
* JFreeChart : a free Java chart library
* ======================================
*
* Project Info: http://www.jfree.org/jfreechart/index.html
* Pr
www.eeworm.com/read/111695/6153477
java meanandstandarddeviation.java
/* ======================================
* JFreeChart : a free Java chart library
* ======================================
*
* Project Info: http://www.jfree.org/jfreechart/index.html
* Pr
www.eeworm.com/read/488470/6283199
m gngauss.m
function [gsrv1,gsrv2]=gngauss(m,sgma)
% [gsrv1,gsrv2]=gngauss(m,sgma)
% [gsrv1,gsrv2]=gngauss(sgma)
% [gsrv1,gsrv2]=gngauss
% GNGAUSS generates two independent Gaussian random variables with me
www.eeworm.com/read/493294/6399943
m gendatl.m
%GENDATL Generation of Lithuanian classes
%
% A = GENDATL(N,S)
%
% INPUT
% N Number of objects per class (optional; default: [50 50])
% S Standard deviation for the data generation (optional; d
www.eeworm.com/read/489079/6482558
m gngauss.m
function [gsrv1,gsrv2]=gngauss(m,sgma)
% [gsrv1,gsrv2]=gngauss(m,sgma)
% [gsrv1,gsrv2]=gngauss(sgma)
% [gsrv1,gsrv2]=gngauss
% GNGAUSS generates two independent Gaussian random variables with me
www.eeworm.com/read/489084/6482581
m gngauss.m
function [gsrv1,gsrv2]=gngauss(m,sgma)
% [gsrv1,gsrv2]=gngauss(m,sgma)
% [gsrv1,gsrv2]=gngauss(sgma)
% [gsrv1,gsrv2]=gngauss
% GNGAUSS generates two independent Gaussian random variables with me
www.eeworm.com/read/488466/6487389
m gngauss.m
function [gsrv1,gsrv2]=gngauss(m,sgma)
% [gsrv1,gsrv2]=gngauss(m,sgma)
% [gsrv1,gsrv2]=gngauss(sgma)
% [gsrv1,gsrv2]=gngauss
% GNGAUSS generates two independent Gaussian random variables with me