代码搜索:methods

找到约 10,000 项符合「methods」的源代码

代码结果 10,000
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h background.h

//----------------------------------------------------------------- // Background Object // C++ Header - Background.h //----------------------------------------------------------------- #pragma
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html beanintrospector.html

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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
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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
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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
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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
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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
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m diffnew.m

function [A,df]=diffnew(X,Y) %Input - X is the 1xn abscissa vector % - Y is the 1xn ordinate vector %Output - A is the 1xn vector containing the coefficients of the Nth %
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m jacobi1.m

function [V,D]=jacobi1(A,epsilon) %Input - A is an nxn matrix % - epsilon the is tolerance %Output - V is the nxn matrix of eigenvectors % - D is the diagonal nxn matrix of e
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h serialport.h

/* Module : SERIALPORT.H Purpose: Declaration for an MFC wrapper class for serial ports Created: PJN / 31-05-1999 Copyright (c) 1999 - 2002 by PJ Naughter. All rights reserved. */ /