代码搜索:methods

找到约 10,000 项符合「methods」的源代码

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www.eeworm.com/read/125944/14454268

txt changelog.txt

Version history --------------- 3.0 Version number, small changes in documentation 2.64 (18.03.2003) Delphi 7 support 2.64 (3.10.2002) C++ Builder 6 support 2.63 (3.9.2001) De
www.eeworm.com/read/125080/14514162

odl projectzip.odl

// ProjectZip.odl : type library source for ProjectZip.dll // This file will be processed by the Make Type Library (mktyplib) tool to // produce the type library (ProjectZip.tlb). [ uuid(C1CF4E
www.eeworm.com/read/225347/14544516

h worldmodel.h

/* Copyright (c) 2000-2003, Jelle Kok, University of Amsterdam All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the fo
www.eeworm.com/read/124167/14592088

java showmethods.java

import java.lang.reflect.*; import com.sun.java.swing.*; public class showMethods { public showMethods() { JList list = new JList(); Method[] methods = list.getClass().get
www.eeworm.com/read/224165/14603242

h visolehelp.h

//////////////////////////////////////////////////////////////////////////// // // @doc INTERNAL EXTERNAL VISOLEHELP // // @module VisOLEHelp.h | // // This file defines functions that can be us
www.eeworm.com/read/222288/14697933

m gseid.m

function X=gseid(A,B,P,delta, max1) % Input - A is an N x N nonsingular matrix % - B is an N x 1 matrix % - P is an N x 1 matrix; the initial guess % - delta is t
www.eeworm.com/read/222288/14697971

m approot.m

function R = approot (f,X,epsilon) % Input - f is object function % - X is the vector of abscissas % - epsilon is the tolerance % Output - R is the vector of approximate
www.eeworm.com/read/222288/14697973

m jacobi.m

function X=jacobi(A,B,P,delta, max1) % Input - A is an N x N nonsingular matrix % - B is an N x 1 matrix % - P is an N x 1 matrix; the initial guess % - delta is
www.eeworm.com/read/222288/14697989

m lspoly.m

function C = lspoly(X,Y,M) %Input - X is the 1xn abscissa vector % - Y is the 1xn ordinate vector % - M is the degree of the least-squares polynomial % Output - C is the c
www.eeworm.com/read/222288/14697991

m forwdif.m

function U=forwdif(f,c1,c2,a,b,c,n,m) %Input - f=u(x,0) % - c1=u(0,t) and c2=u(a,t) % - a and b right endpoints of [0,a] and [0,b] % - c the constant in the heat equa