代码搜索：construct
找到约 6,584 项符合「construct」的源代码
代码结果 6,584
www.eeworm.com/read/421949/10675981
m u_svcdemo.m
% ------- OSU nu-SVM CLASSIFIER TOOLBOX Demonstrations---
%
% 1) Construct a linear SVM Classifier and test it
% 2) Construct a nonlinear SVM Classifier (polynomial kernel) and
www.eeworm.com/read/349227/10840063
java swingworker.java
import javax.swing.SwingUtilities;
/**
* This is the 3rd version of SwingWorker (also known as
* SwingWorker 3), an abstract class that you subclass to
* perform GUI-related work in a dedicated t
www.eeworm.com/read/466944/7024143
java intcell.java
/**
* A class for simulating an integer memory cell.
* @author Mark A. Weiss
*/
public class IntCell
{
/**
* Construct the IntCell.
* Initi
www.eeworm.com/read/171937/7216990
java sphere.java
class Sphere
{
static final double PI = 3.14; // Class variable that has a fixed value
static int count = 0; // Class variable to count objects
// Instance variables
double rad
www.eeworm.com/read/453160/7425169
java swingworker.java
import javax.swing.SwingUtilities;
/**
* This is the 3rd version of SwingWorker (also known as
* SwingWorker 3), an abstract class that you subclass to
* perform GUI-related work in a dedicated t
www.eeworm.com/read/449504/7502735
m newlagmatrix.m
function [y,x]=newlagmatrix(x,nlags,c)
% PURPOSE:
% Construct an X matrix and a Y vector for use in an AR regression
%
% USAGE:
% [y,x]=newlagmatrix(x,nlags,c)
%
% INPUTS:
% y is
www.eeworm.com/read/443457/7632757
cpp 1164.cpp
#include
#include
#include
using namespace std;
int prime[10000],men[10000];
bool isprime(int n){
int i,stop;
stop = int(sqrt(double(n)));
for(i = 2;i
www.eeworm.com/read/441018/7677903
m c_svcdemo.m
% ------- OSU C-SVM CLASSIFIER TOOLBOX Demonstrations---
%
% 1) Construct a linear SVM Classifier and test it
% 2) Construct a nonlinear SVM Classifier (polynomial kernel) and t
www.eeworm.com/read/441018/7677912
m u_svcdemo.m
% ------- OSU nu-SVM CLASSIFIER TOOLBOX Demonstrations---
%
% 1) Construct a linear SVM Classifier and test it
% 2) Construct a nonlinear SVM Classifier (polynomial kernel) and