代码搜索:MATLAB LMD

找到约 10,000 项符合「MATLAB LMD」的源代码

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m pathdef.m

function p = pathdef %PATHDEF Search path defaults. % PATHDEF returns a string that can be used as input to MATLABPATH % in order to set the path. % Copyright 1984-2000 The MathWorks,
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txt readme.txt

Updated: January 11, 2002 To execute the Matlab version simply execute gui.m Enjoy. Greg Welch
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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 the tolerance for P %
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m taylor.m

function T4=taylor(df,a,b,ya,M) %Input - df=[y' y'' y''' y'''']entered as a string 'df' % where y'=f(t,y) % - a and b are the left and right endpoints % - ya is the initial c
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m gauss.m

function quad=gauss(f,a,b,A,W) %Input - f is the integrand input as a string 'f' % - a and b upper and lower limits of integration % - A is the 1 x N vector of abscissas from Table 7.
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m crnich.m

function U=crnich(f,c1,c2,a,b,c,n,m) %Input - f=u(x,0) as a string 'f' % - 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 equatio
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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 the tolerance fo
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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 coefficient l
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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 % degree Ne
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m contents.m

% FastICA for Matlab 7.x and 6.x % Version 2.5, October 19 2005 % Copyright (c) Hugo G鋠ert, Jarmo Hurri, Jaakko S鋜el