代码搜索：rows
找到约 10,000 项符合「rows」的源代码
代码结果 10,000
www.eeworm.com/read/178382/9401316
cs ludecomposition.cs
// ----------------------------------------------
// Lutz Roeder's Mapack for .NET, September 2000
// Adapted from Mapack for COM and Jama routines.
// http://www.aisto.com/roeder/dotnet
// ------
www.eeworm.com/read/374466/9404131
m observe.m
function [r]=observe(pop)
[rows,cols]=size(pop);
for i=1:cols
if pop(1,i)
www.eeworm.com/read/373462/9454816
cs querymemberprint.aspx.cs
//文件名:QueryMemberPrint.aspx.cs
using System;
using System.Data;
using System.Configuration;
using System.Collections;
using System.Web;
using System.Web.Security;
using System.Web.UI;
using S
www.eeworm.com/read/373462/9454930
cs login.aspx.cs
//文件名:Login.aspx.cs
using System;
using System.Data;
using System.Configuration;
using System.Collections;
using System.Web;
using System.Web.Security;
using System.Web.UI;
using System.Web.U
www.eeworm.com/read/373249/9467885
m beta_sample.m
function r = betarnd(a,b,m,n);
%BETARND Random matrices from beta distribution.
% R = BETARND(A,B) returns a matrix of random numbers chosen
% from the beta distribution with parameters A an
www.eeworm.com/read/373059/9476089
c som.c
/******************************************************************************
===================
Network: Self-Organizing Map
=========
www.eeworm.com/read/176804/9483918
m bootstrap.m
function [x,q] = bootstrap(actualx,y,R,Q,initVar,numSamples);
% PURPOSE : This m file performs the bootstrap algorithm (a.k.a. SIR,
% particle filter, etc.) for the model specified in the
%
www.eeworm.com/read/372507/9507234
h lsmatrix.h
// header file lsmatrix.h
// linked representation of a sparse matrix
#ifndef LinkedMatrix_
#define LinkedMatrix_
#include
#include
#include "echain.h"
#include "cit
www.eeworm.com/read/176104/9516065
cpp cmatrix3.cpp
#include "CMatrix3.h"
CMatrix::CMatrix(CMatrix & cm)
{
Create_Mem(cm.Nrows(),cm.Ncols());
for(int i=0 ;iMat[i][j];
}
www.eeworm.com/read/372034/9524234
m hnormalise.m
% HNORMALISE - Normalises array of homogeneous coordinates to a scale of 1
%
% Usage: nx = hnormalise(x)
%
% Argument:
% x - an Nxnpts array of homogeneous coordinates.
%
% Returns: