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/462367/1546448
h stack.h
#ifndef _STACK_H_
#define _STACK_H_
#include // malloc
// The link class used to construct the stack
template
class ll_link {
public:
t data;
ll_link *next;
www.eeworm.com/read/251838/4414826
m learn_params.m
function CPD = learn_params(CPD, fam, data, ns, cnodes, varargin)
% LEARN_PARAMS Construct classification/regression tree given complete data
% CPD = learn_params(CPD, fam, data, ns, cnodes)
%
% fam(i
www.eeworm.com/read/247967/4471202
h tsample.h
#ifndef __TSAMPLE_H
#define __TSAMPLE_H
#include
// support 16-bit sample
class TSample
{
// Construct
public:
inline TSample() : iData(NULL){}
inline TSample(TInt16* a
www.eeworm.com/read/240162/4581022
c ttp54.c
// { dg-do assemble }
// Reported by Bruce Eckel
// [temp.deduct.type]
// Make sure we treat in the construct TT as any type containing T.
template class
www.eeworm.com/read/234427/4659142
h tsample.h
#ifndef __TSAMPLE_H
#define __TSAMPLE_H
#include
// support 16-bit sample
class TSample
{
// Construct
public:
inline TSample() : iData(NULL){}
inline TSample(TInt16* a
www.eeworm.com/read/233448/4673842
c ttp54.c
// { dg-do assemble }
// Reported by Bruce Eckel
// [temp.deduct.type]
// Make sure we treat in the construct TT as any type containing T.
template class
www.eeworm.com/read/227686/4769557
nt test021-in.nt
# Input file for SeRQL CfwQuery test
# description: test creation of new bnodes in CONSTRUCT-clause
www.eeworm.com/read/227600/4773150
java fpgenerator.java
package st.ata.util;
import java.util.Hashtable;
/**
This class provides methods that construct fingerprints of strings
of bytes via operations in GF[2^d] for 0 < d
www.eeworm.com/read/216502/4890558
1m mkfs.1m
.TH MKFS 1M
.SH NAME
mkfs \- construct a file system
.SH SYNOPSIS
.B /etc/mkfs
special
proto
.SH DESCRIPTION
.I Mkfs
constructs a file system
by writing on the special file
.I special
according to th
www.eeworm.com/read/215485/4903787
m learn_params.m
function CPD = learn_params(CPD, fam, data, ns, cnodes, varargin)
% LEARN_PARAMS Construct classification/regression tree given complete data
% CPD = learn_params(CPD, fam, data, ns, cnodes)
%
% fam(i