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/228040/14402382
h geometry.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/225347/14544530
h geometry.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/224165/14603316
h visluciformwrappers.h
// VisLuciformWrappers.h
//
// Wrappers for the Luciform classes. (These allow us to add our
// own methods.)
//
// Copyright
www.eeworm.com/read/222288/14697947
m power1.m
function [lambda,V]= power1(A,X,epsilon,max1)
%Input - A is an nxn matrix
% - X is the nx1 starting vector
% - epsilon is the tolerance
% - max1 is the maximum num
www.eeworm.com/read/222288/14697950
m gauss.m
function quad=gauss(f,a,b,A,W)
%Input - f is the integrand
% - a and b upper and lower limits of integration
% - A is the 1 x N vector of abscissas from Table 7.9
%
www.eeworm.com/read/222288/14697952
m milne.m
function M=milne(f,T,Y)
%Input - f is the function
% - T is the vector of abscissas
% - Y is the vector of ordinates
%Remark. The first four coordinates of T and Y must
%
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m linsht.m
function L=linsht(F1,F2,a,b,alpha,beta,M)
%Input - F1 and F2 are the systems of first-order equations
% representing the I.V.P.'s (9) and (10), respectively;
% input as
www.eeworm.com/read/222288/14697961
m trisys.m
function X=trisys (A,D,C,B)
%Input - A is the sub diagonal of the coefficient matrix
% - D is the main diagonal of the coefficient matrix
% - C is the super diagonal of the c
www.eeworm.com/read/222288/14697986
m bisect.m
function [c,err,yc]=bisect(f,a,b,delta)
%Input - f is the function
% - a and b are the left and right endpoints
% - delta is the tolerance
%Output - c is the zero
% - y
www.eeworm.com/read/222288/14697995
m difflim.m
function [L,n]=difflim(f,x,toler)
%Input - f is the function
% - x is the differentiation point
% - toler is the desired tolerance
%Output - L=[H' D' E']: H is the vector