代码搜索：methods

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java ex20(1).java

// generics/Ex20.java // TIJ4 Chapter Generics, Exercise 20, page 654 /* Create an interface with two methods, and a class that implements that interface * and adds another method. In another class
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java ex23.java

// innerclasses/Ex23.java // TIJ4 Chapter Innerclasses, Exercise 23, page 371 /* Create an interface U with three methods. Create a class A with a method that * produces a reference to a U by build
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java passingthisex.java

// initialization/PassingThisEx.java // TIJ4 Chapter Initialization, Exercise 8, page 170 /* Create a class with two methods. Within the first method, call the * second method twice: the first time
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java dogtalk2.java

// initialization/DogTalk2.java // TIJ4 Chapter Initialization, Exercise 6, page 167 /* Modify the previous exercise so that two of the overloaded methods have two * arguments (of two different typ
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java testex6.java

// interfaces.TestEx6.java // TIJ4 Chapter Interfaces, Exercise 6, page 320 // Prove that all the methods in an interface are automatically public /* Solution includes, in package interfaces.ex6:
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m svkernel.m

function k = svkernel(ker,u,v) %SVKERNEL kernel for Support Vector Methods % % Usage: k = svkernel(ker,u,v) % % Parameters: ker - kernel type % u,v - kernel arguments % % Values for ke
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java sort.java

package rtree; /** * Static class used for providing static methods for sorting arrays of Objects, using * comparators. It is needed for jdk 1.1 compatibility. * * Created: Fri Jul 02 18:42:3
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m svkernel.m

function k = svkernel(ker,u,v) %SVKERNEL kernel for Support Vector Methods % % Usage: k = svkernel(ker,u,v) % % Parameters: ker - kernel type % u,v - kernel arguments % % Values for ke
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h mapival.h

/* * M A P I V A L . H * * Macros used to validate parameters on standard MAPI object methods. * Used in conjunction with routines found in MAPIU.DLL. * * Copyright 1986-1996 Micro
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m genetic_function.m

%FUNCTION: Genetic %PURPOSE:To create a new population based upon the parent genes % using crossover,muation,cloning and creation methods %INPUT: Previous Population (32x4) Matrix %OUTPUT: New P
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