代码搜索：Approximation
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hin august.hin
Best complex task done in a complex way: Lennart Augustsson
Lennart Augustsson
Dept. of Comp. Sci.
Chalmers University of Technology,
412 96 Gothenburg
Sweden
This program c
www.eeworm.com/read/354578/10344858
m appcoars.m
function [m,Fc,Fa,C,N,N0]=appcoars(m,F,K,version);
% Copyright Thierry Denoeux
% April 4, 2002
%
% Inner and outer coarsening approximation of a single basic belief assignment
%
% [m,Fc,Fa
www.eeworm.com/read/424063/10500062
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/349111/10848948
m wtlsini.m
function [r,p,M,dh] = wtlsini(d,w,m)
% WTLSINI - Initial approximation for the WTLS problem.
%
% [r,p,M,dh] = wtlsini(d,w,m)
%
% D = [d1 ... dN] - data matrix, sd := size(D,1)
% W - sd x N weight matr
www.eeworm.com/read/349111/10848971
tex wtls_manual_coverpage.tex
% ?? -> report #
\newcommand{\matlab}{{\sc Matlab}}
\documentclass[11pt,titlepage]{article}
\setlength{\footnotesep}{7mm}
\title{ \ \vspace{-8cm} \\
{\Large\bf \
Katholieke
www.eeworm.com/read/349111/10848976
m tls.m
function [r,p,M,dh] = tls(d,m)
% TLS - Total Least Squares approximation.
%
% [r,p,M,dh] = tls(d,m)
%
% D = [d1 ... dN] - data matrix
% m - complexity specification, m < size(D,1)
% R - parameter of
www.eeworm.com/read/434325/7874433
m diffext.m
function [D,err,relerr,n] = diffext(f,x,delta,toler)
%---------------------------------------------------------------------------
%DIFFEXT Numerical approximation for f'(x).
% The method
www.eeworm.com/read/434325/7874452
m difflim.m
function [H,D,E,n] = difflim(f,x,toler)
%---------------------------------------------------------------------------
%DIFFLIM Numerical approximation for f'(x).
% The method employed is
www.eeworm.com/read/241323/13156466
m fresn.m
function f=fresn(X);
%> Call: fresn(X) = the complex Fresnel function C(X) + i S(X)
%> Input: X is a real vector or matrix
%> Output: fresn(X) is complex of the same dimension.
%> For definiti
www.eeworm.com/read/317375/13505358
asv fixpt.asv
function [k,p,err,P]=fixpt(g,p0,tol,max1)
%Input-g is the iteration function input as a string 'g'
% -p0 is the initial guess for the fixed point
% -tol is the tolerance
% -max1 is the