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/435507/7791028
lst 左移区别循环左移.lst
C51 COMPILER V6.12 _______餩_籣____ 03/22/2009 11:11:57 PAGE 1
C51 COMPILER V6.12, COMPILATION OF MODULE _______餩_籣____
OBJECT MODULE PLAC
www.eeworm.com/read/435507/7791039
c 左移区别循环左移.c
#include
#include
#define uint unsigned int
#define uchar unsigned char
uchar temp,num,num1;
sbit beep=P2^3;
void delay(uint);
void main()
{
while(1)
www.eeworm.com/read/435421/7792340
txt 计数器.txt
// 1 2 3 + =
// 4 5 6 - ce
// 7 8 9 * on/off
// +/- 0 . /
//按键： 0 1 2 3 4 5 6 7 8 9
//对应值： 0
www.eeworm.com/read/435007/7799271
h chardev.h
/* chardev.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 chardev.c) and t
www.eeworm.com/read/434758/7802237
cpp 1002.cpp
#include
#include
#include
const char HaabMonth[][9] = {"pop","no","zip","zotz","tzec","xul","yoxkin",
"mol","chen","yax","zac","ceh","mac","kankin","muan","pax",
"ko
www.eeworm.com/read/375032/7808663
cpp mobian.cpp
#include
#include
#include
struct node
{
char op;
int front;
int num[8];
};
char flag[40321];
int index[40321];
int step[40321];
node quene[40321];
int
www.eeworm.com/read/315473/7809001
c yu.c
/*该程序用PSO算法求解约束性优化问题， */
//库文件
#include"stdio.h"
#include"stdlib.h"
#include"math.h"
//随机数定义 ,r1 ~U(0,1)，r2 ~U(0,1)为两个相互独立的随机函数
#define rdint(i) (rand()%(int)(i))
#define rdft() (flo
www.eeworm.com/read/299998/7814784
asv p184.asv
%例8.1p183
clc;
clear;
T=2;
num=100;
%真实轨迹
N=800/T;
x=zeros(N,1);y=zeros(N,1);
vx=zeros(N,1);vy=zeros(N,1);
x(1)=-2000;
y(1)=500;
for j=1:N
vx(j)=10;
end
%vx=10;vy=0;
%ax=0;ay=0;
va
www.eeworm.com/read/299998/7814787
m p184.m
%例8.1p183
clc;
clear;
T=2;
num=100;
%真实轨迹
N=800/T;
x=zeros(N,1);y=zeros(N,1);
vx=zeros(N,1);vy=zeros(N,1);
x(1)=-2000;
y(1)=500;
for j=1:N
vx(j)=10;
end
%vx=10;vy=0;
%ax=0;ay=0;
va
www.eeworm.com/read/399996/7816566
txt classification.txt
Ada_Boost@Num iter, type, params:@[100,'Stumps',[]]@L
Backpropagation_Batch@Nh, Theta, Convergence rate:@[5, 0.1, 0.1]@L
Backpropagation_CGD@Nh, Theta:@[5, 0.1]@L
Backpropagation_Quickprop@Nh, Thet