代码搜索：Practical
找到约 1,002 项符合「Practical」的源代码
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www.eeworm.com/read/327296/3462826
readme
Where are the libraries?
It wouldn't be practical to distribute all the third party tools along
with our sample code; you'll need to download and install them here as
described in Chapter 1. The good
www.eeworm.com/read/303435/3812803
psdemo
#! /bin/sh
# Investigate data with sugabor to ascertain a time-varying filter
# for sutvband
# Takes too long to be practical
demo=gabor
# Spectrum of raw data
suspecfx
www.eeworm.com/read/435104/1866264
readme
Where are the libraries?
It wouldn't be practical to distribute all the third party tools along
with our sample code; you'll need to download and install them here as
described in Chapter 1. The good
www.eeworm.com/read/112475/15484599
txt readme.txt
Project: lab-classes
Authors: David J. Barnes and Michael Kolling
This project is part of the material for the book
Objects First with Java - A Practical Introduction using BlueJ
David J. Barn
www.eeworm.com/read/437247/7752664
java healthcrocodile.java
import java.util.Vector;
/*
Christopher Chappel
Java Certification Exam Practical
March 11, 2009
SSD1
*/
public class HealthCrocodile extends Crocodile {
private static final String S
www.eeworm.com/read/437247/7752704
java healthcrocodile.java
import java.util.Vector;
/*
Christopher Chappel
Java Certification Exam Practical
March 11, 2009
SSD1
*/
public class HealthCrocodile extends Crocodile {
private static final String S
www.eeworm.com/read/327916/13055624
java secondscalculator.java
//Practical Quiz 1第二题
package unitOne;
import java.io.*;
import java.util.*;
public class SecondsCalculator {
private static BufferedReader stdIn =
new BufferedReader(new InputStreamR
www.eeworm.com/read/315328/13545845
m pearson.m
% Program: pearson.m
% Title: Quasi_Newton Pearson algorithm
% Description: Implements the quasi-Newton algorithm
% with the Pearson updating formula.
% Theory: See Practical Optimization Secs. 7
www.eeworm.com/read/315328/13545847
m hoshino.m
% Program: hoshino.m
% Title: Quasi_Newton Hoshino algorithm
% Description: Implements the quasi-Newton algorithm
% with the Hoshino updating formula.
% Theory: See Practical Optimization Secs. 7
www.eeworm.com/read/315328/13545850
m inex_lsearch.m
% Program: inex_lsearch.m
% Title: Inexact Line Search
% Description: Implements Fletcher's inexact line search described in
% Algorithm 4.6.
% Theory: See Practical Optimization Sec. 4.8
%