代码搜索：constructs
找到约 1,240 项符合「constructs」的源代码
代码结果 1,240
www.eeworm.com/read/158411/5597379
java mailsystem.java
import java.util.ArrayList;
/**
A system of voice mail boxes.
*/
public class MailSystem
{
/**
Constructs a mail system with a given number of mail boxes
@param mailboxCoun
www.eeworm.com/read/172493/9705233
cpp basic.cpp
#include
/**
A basic application that shows an empty frame.
*/
class BasicApp : public wxApp
{
public:
/**
Constructs the frame.
*/
BasicApp();
/**
Shows the fram
www.eeworm.com/read/172493/9705266
cpp list2.cpp
#include
#include
#include
using namespace std;
class List;
class Iterator;
class Node
{
public:
/*
Constructs a node with a given data value.
www.eeworm.com/read/431675/8662340
m maketree.m
%MAKETREE General tree building algorithm
%
% tree = maketree(A,nlab,c,crit,stop)
%
% Constructs a binary decision tree using the criterion function
% specified in the string crit ('maxcrit', 'fis
www.eeworm.com/read/375212/9368924
m plsrsgn.m
function coeff = plsrsgn(data,lv)
%PLSRSGN Generates a matrix of PLS models for MSPC
% This function constructs a matrix of PLS models that
% can be used like a PCA model for multivariate statist
www.eeworm.com/read/371694/9541672
cpp activetimer.cpp
// Copyright (c) 2006 Nokia Corporation.
#include "ActiveTimer.h"
#include "ActiveTimerNotify.h"
// Constructs a CActiveTimer object
CActiveTimer* CActiveTimer::NewL(MActiveTimerNotify& aNot
www.eeworm.com/read/371255/9559120
m highpassfilter.m
% HIGHPASSFILTER - Constructs a high-pass butterworth filter.
%
% usage: f = highpassfilter(sze, cutoff, n)
%
% where: sze is a two element vector specifying the size of filter
% t
www.eeworm.com/read/371255/9559134
m lowpassfilter.m
% LOWPASSFILTER - Constructs a low-pass butterworth filter.
%
% usage: f = lowpassfilter(sze, cutoff, n)
%
% where: sze is a two element vector specifying the size of filter
% to co
www.eeworm.com/read/371255/9559137
m highboostfilter.m
% HIGHBOOSTFILTER - Constructs a high-boost Butterworth filter.
%
% usage: f = highboostfilter(sze, cutoff, n, boost)
%
% where: sze is a two element vector specifying the size of filter
%
www.eeworm.com/read/418695/10935654
m maketree.m
%MAKETREE General tree building algorithm
%
% tree = maketree(A,nlab,c,crit,stop)
%
% Constructs a binary decision tree using the criterion function
% specified in the string crit ('maxcrit', 'fis