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m linsht.m

function L=linsht(F1,F2,a,b,alpha,beta,M) %Input - F1 and F2 are the systems of first-order equations % representing the I.V.P.'s (9) and (10), respectively; % input as strings '
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m tpcoeff.m

function [A,B]=tpcoeff(X,Y,M) %Input - X is a vector of equally spaced abscisssas in [-pi, pi] % - Y is a vector of ordinates % - M is the degree of the trigomometric polynomial %O
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m heun.m

function H=heun(f,a,b,ya,M) %Input - f is the function entered as a string 'f' % - a and b are the left and right endpoints % - ya is the initial condition y(a) % - M is the nu
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m romber.m

function [R,quad,err,h]=romber(f,a,b,n,tol) %Input - f is the integrand input as a string 'f' % - a and b are upper and lower limits of integration % - n is the maximum number of rows in
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m uptrbk.m

function X = uptrbk(A,B) %Input - A is an N x N nonsingular matrix % - B is an N x 1 matrix %Output - X is an N x 1 matrix containing the solution to AX=B. % NUMERICAL METHODS: Matlab Program
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m rk4.m

function R=rk4(f,a,b,ya,M) %Input - f is the function entered as a string 'f' % - a and b are the left and right endpoints % - ya is the initial condition y(a) % - M is the
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readme

Matlab Support Vector Machine Toolbox ------------------------------------- Author: Steve Gunn This toolbox was designed as a teaching aid, which matlab is particularly good for since source code is
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txt readme_graftool.txt

Brief introduction to Graphics Toolkit (c) ------------------------------------------ Author: Professor Dingyu XUE School of Information Science and Engineering
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html readme.html

MM5/Readme [MM5 Index] Readme (MM5/Readme.m) Help text This set of functions were developed to su
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txt readme.txt

================================================================== Statistical Pattern Recognition Toolbox for Matlab (C) 1999-2005, Version 2.05, 19-Oct-2005, Written by Vojtech Franc, Vaclav Hlav
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