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/130240/5962830
java managertest.java
/**
@version 1.21 2004-02-21
@author Cay Horstmann
*/
import java.util.*;
public class ManagerTest
{
public static void main(String[] args)
{
// construct a Manager
www.eeworm.com/read/130240/5962836
java managertest.java
/**
@version 1.21 2004-02-21
@author Cay Horstmann
*/
import java.util.*;
public class ManagerTest
{
public static void main(String[] args)
{
// construct a Manager
www.eeworm.com/read/126884/6010671
java dumpcache.java
package org.trinet.jasi;
import javax.swing.UIManager;
public class DumpCache {
boolean packFrame = false;
//Construct the application
public DumpCache() {
Frame1 fra
www.eeworm.com/read/124465/6047450
cpp testresult.cpp
#include
#include
#include
#include
namespace CppUnit {
/// Construct a TestResult
TestResult::TestResult( Synchro
www.eeworm.com/read/116082/6113772
java application.java
package difference_attack;
import javax.swing.UIManager;
import java.awt.*;
public class Application {
private boolean packFrame = false;
//Construct the application
public Application() {
www.eeworm.com/read/103694/6213359
cpp testresult.cpp
#include
#include
#include
#include
namespace CppUnit {
/// Construct a TestResult
TestResult::TestResult( Synchro
www.eeworm.com/read/400577/11573018
m wvotec.m
%WVOTEC Weighted combiner (Adaboost weights)
%
% W = WVOTEC(A,V) compute weigths and store
% W = WVOTEC(V,U) Construct weighted combiner using weights U
%
% INPUT
% A Labeled data
www.eeworm.com/read/346459/11743160
m metasignal.m
function m = metasignal(varargin)
%function m = metasignal(vargin)
%Construct a Meta-Signal object
% Should accept at least the following input:
% - 'filename.wav' (TIMIT file)
% - sign
www.eeworm.com/read/156521/11795479
java managertest.java
/**
@version 1.21 2004-02-21
@author Cay Horstmann
*/
import java.util.*;
public class ManagerTest
{
public static void main(String[] args)
{
// construct a Manager
www.eeworm.com/read/344640/11870053
m svmtrain.m
function [AlphaY, SVs, Bias, Para] = SVMTrain(Samples, Labels, Parameters, Verbose)
% USAGE:
% [AlphaY, SVs, Bias, Para] = SVMTrain(Samples, Labels, Parameters)
%
% DESCRIPTION:
% Construct a 2-c