代码搜索：Num
找到约 10,000 项符合「Num」的源代码
代码结果 10,000
www.eeworm.com/read/292008/8383301
java multithread.java
package lab2;
public class MultiThread extends Thread {
private Matrix matrix = null;
int num1,num2;
int start,end;
MultiThread(int n1,int n2,Matrix m) {
super();
num1 = n1;
num
www.eeworm.com/read/192305/8388373
m exa120501.m
%--------------------------------------------------------------------------
% exa120501.m, for example 12.5.1 and fig12.5.3
%-----------------------------------------------------------------------
www.eeworm.com/read/192305/8388534
m exa120502.m
%--------------------------------------------------------------------------
% exa120502.m, for example 12.5.2 and fig12.5.4
%-----------------------------------------------------------------------
www.eeworm.com/read/291639/8406362
h drv.h
/* leddrv.h - the header file with the ioctl definitions.
*
* The declarations here have to be in a header file, because
* they need to be known both to the kernel module
* (in leddrv.c) a
www.eeworm.com/read/291639/8406406
h eintdrv.h
/* timerdrv.h - the header file with the ioctl definitions.
*
* The declarations here have to be in a header file, because
* they need to be known both to the kernel module
* (in leddrv.c)
www.eeworm.com/read/291636/8406611
m myga.m
function [f,x]=myga(num,bounds,N,CP,P)
%[f,x]=ga(num,bounds,fun,N,CP,P)
%[f,x]=myga([],bounds,[],[],[])
%该遗传算法适用于：
% 目标函数为求最大值，且解非负整数解
%bounds 边界约束
%Myfun 为目标函数
%num
www.eeworm.com/read/291636/8406660
m myga.m
function [f,x]=myga(num,bounds,N,CP,P)
%[f,x]=ga(num,bounds,fun,N,CP,P)
%[f,x]=myga([],bounds,[],[],[])
%该遗传算法适用于：
% 目标函数为求最大值，且解非负整数解
%bounds 边界约束
%Myfun 为目标函数
%num
www.eeworm.com/read/291577/8408640
java gameworld.java
package bluetoochgame;
import javax.microedition.lcdui.*;
/**
* Title:
* Description:
* Copyright: Copyright (c) 2005
* Company:
* @author not attributab
www.eeworm.com/read/291471/8416863
cpp huffman.cpp
#include "stdio.h"
#include "stdlib.h"
#include "string.h"
typedef struct{
double weight;
int parent,lchild,rchild;
}HTnode,*HTree;
void InitData();
void select(HTree HT, int len, int* index
www.eeworm.com/read/191902/8417041
txt classification.txt
Ada_Boost@Num iter, type, params:@[100,'Stumps',100]@L
Backpropagation_Batch@Nh, Theta, Convergence rate:@[5, 0.1, 0.1]@L
Backpropagation_CGD@Nh, Theta:@[5, 0.1]@L
Backpropagation_Quickprop@Nh, The