代码搜索：average
找到约 5,196 项符合「average」的源代码
代码结果 5,196
www.eeworm.com/read/433717/7912618
m fsqfindldr.m
%fsqfindldr(lambda,mu,c,m)
% This function finds the average number of machines being repaired (ldr)
% for a machine repair problem (finite source queue)
function out = fsqfindldr(lambda,mu,c
www.eeworm.com/read/298377/7964176
h resource.h
//{{NO_DEPENDENCIES}}
// Microsoft Developer Studio generated include file.
// Used by K_average.rc
//
#define IDD_ABOUTBOX 100
#define IDR_MAINFRAME 128
#de
www.eeworm.com/read/321972/13391524
m runstats.m
function [ave, std] = runstats(x)
%RUNSTATS Generate running ave / std deviation
% Function RUNSTATS generates a running average
% and standard deviation of a data set. The
% values x must be pa
www.eeworm.com/read/133952/5896766
m runstats.m
function [ave, std] = runstats(x)
%RUNSTATS Generate running ave / std deviation
% Function RUNSTATS generates a running average
% and standard deviation of a data set. The
% values x must be pa
www.eeworm.com/read/133885/5898905
java kmeans.java
/**
* This is a simple k means clustering algorithm.
* Auto numclasses works out the average number of events per event vec.
*
*
*
*
* @author Waleed Kadous
* @version $Id: KMeans.j
www.eeworm.com/read/329468/6280977
m stdmean.m
function Y=stdmean(X,A)
%STDMEAN Weighted average based on error from the mean
% stdmean(X,A)
% This calculates a weighted mean based on how clusted the
% data is. Each value is weighted inversely
www.eeworm.com/read/412827/6320277
h visualkb.h
#define MAX_STRINGS 12
class CMyApp : public CWinApp
{
public:
virtual BOOL InitInstance ();
};
class CMainWindow : public CWnd
{
protected:
int m_cxChar; // Average character w
www.eeworm.com/read/486483/6533012
m stdmean.m
function Y=stdmean(X,A)
%STDMEAN Weighted average based on error from the mean
% stdmean(X,A)
% This calculates a weighted mean based on how clusted the
% data is. Each value is weighted inversely
www.eeworm.com/read/485932/6550713
m stdmean.m
function Y=stdmean(X,A)
%STDMEAN Weighted average based on error from the mean
% stdmean(X,A)
% This calculates a weighted mean based on how clusted the
% data is. Each value is weighted inversely
www.eeworm.com/read/263959/11335421
m runstats.m
function [ave, std] = runstats(x)
%RUNSTATS Generate running ave / std deviation
% Function RUNSTATS generates a running average
% and standard deviation of a data set. The
% values x must be pa