代码搜索:Approximation

找到约 1,542 项符合「Approximation」的源代码

代码结果 1,542
www.eeworm.com/read/172473/9706276

m newton.m

function [p0,err,k,y]=newton(f,df,p0,delta,epsilon,max1) %Input - f is the object function input as a string 'f' % - df is the derivative of f input as a string 'df' % - p0 is the initial a
www.eeworm.com/read/147096/12584088

m pade.m

function [a,b,c,d]=pade(T,n) % PADE Returns an nth order Pade approximation to a time delay, T: % 2 3 % num 2 -Ts + (-Ts) /2! + (-Ts) /3! + .... % --- = --------
www.eeworm.com/read/236767/13999555

m five_point_biased_upwind_uni_d1.m

function [D]=five_point_biased_upwind_uni_D1(z0,zL,n,v) %... %... A. Vande Wouwer, P. Saucez and W.E. Schiesser (2002) %... %... function five_point_biased_upwind_uni_D1 returns the differ
www.eeworm.com/read/236767/13999572

m four_point_biased_upwind_uni_d1.m

function [D]=four_point_biased_upwind_uni_D1(z0,zL,n,v) %... %... A. Vande Wouwer, P. Saucez and W.E. Schiesser (2002) %... %... function four_point_biased_upwind_uni_D1 returns the differ
www.eeworm.com/read/107177/15612100

m logdemo.m

% Simple demonstration of using the control algorithm to stablize the fixed % point in the logistic map. See the readme file for an overview of the % demos available in this directory. % m = 1 (lengt
www.eeworm.com/read/102394/15783796

c gamma.c

/* cdf/cdf_gamma.c * * Copyright (C) 2003 Jason Stover. * * This program is free software; you can redistribute it and/or modify * it under the terms of the GNU General Public License as publis
www.eeworm.com/read/101557/15826570

m pade.m

function [a,b,c,d]=pade(T,n) % PADE Returns an nth order Pade approximation to a time delay, T: % 2 3 % num 2 -Ts + (-Ts) /2! + (-Ts) /3! + .... % --- = --------
www.eeworm.com/read/192035/8410436

m wilhil.m

function [chi2]=wilhil(nu,p) % WILHIL - Wilson-Hilferty approximation to chi-squared. % Syntax: [chi2]=wilhil(nu,p); % % Inputs: p - single-tailed probability % nu - degrees of freedom.
www.eeworm.com/read/192033/8410556

m wilhil.m

function [chi2]=wilhil(nu,p) % Syntax: [chi2]=wilhil(nu,p); % Wilson-Hilferty approximation to chi-squared. % % Inputs: p - single-tailed probability % nu - degrees of freedom. % % The