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m difflim.m

function [L,n]=difflim(f,x,toler) %Input - f is the function input as a string 'f' % - x is the differentiation point % - toler is the desired tolerance %Output - L=[H' D' E']: H is the
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m cheby.m

function [C,X,Y]=cheby(fun,n,a,b) %Input - fun is the string function to be approximated % - N is the degree of the Chebyshev interpolating polynomial % - a is the left endpoint %
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m finedif.m

function U = finedif(f,g,a,b,c,n,m) %Input - f=u(x,0) as a string 'f' % - g=ut(x,0) as a string 'g' % - a and b right endpoints of [0,a] and [0,b] % - c the constant in the wave equati
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m abm.m

function A=abm(f,T,Y) %Input - f is the function entered as a string 'f' % - T is the vector of abscissas % - Y is the vector of ordinates %Remark. The first four coordinates of T an
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m lagran.m

function [C,L]=lagran(X,Y) %Input - X is a vector that contains a list of abscissas % - Y is a vector that contains a list of ordinates %Output - C is a matrix that contains the coefficents of
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m glnodewt.m

function [x,w] = GLNodeWt(n) % GLNodeWt Nodes and weights for Gauss-Legendre quadrature of arbitrary order % obtained by solving an eigenvalue problem % % Synopsis: [x,w] = GLNodeWt(n)
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m glagnodewt.m

function [x,w] = GLagNodeWt(n) % GLagNodeWt Nodes and weights for Gauss-Laguerre quadrature of arbitrary order % by solving an eigenvalue problem % % Synopsis: [x,w] = GLagNodeWt(n)
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m durlev.m

function [MX,res,arg3] = durlev(AutoCov); % function [AR,RC,PE] = durlev(ACF); % function [MX,PE] = durlev(ACF); % estimates AR(p) model parameter by solving the % Yule-Walker with the Durbin-Levins
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dat bookinfo.dat

[General Information] 书名=模糊控制及其MATLAB应用(张国良2002.11) 作者= 页数=1000 SS号=0 出版日期=
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readme

SPGL1: Spectral Projected Gradient for L1 minimization ------------------------------------------------------ 1. Introduction =============== Thank you for downloading the SPGL1 solver! SPGL1 is a
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