代码搜索：methods

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m qr1.m

function D=qr1(A,epsilon) %Input - A is a symmetric tridiagona nxn matrix % - epsilon is the tolerance %Output - D is the vector of eigenvalues % NUMERICAL METHODS: Matlab Programs % (c) 2004
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m approot.m

function R = approot (X,epsilon) % Input - f is object function saved as an M-file named f.m % - X is the vector of abscissas % - epsilon is the tolerance % Output - R is the vector of a
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www.eeworm.com/read/152112/12139073

m srule.m

function Z=srule(f,a0,b0,tol0) %Input - f is the integrand input as a string 'f' % - a0 and b0 are upper and lower limits of integration % - tol0 is the tolerance % Output - Z is a 1
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m qr2.m

function D=qr2(A,epsilon) %Input - A is a symmetric tridiagonal nxn matrix % - epsilon is the tolerance %Output - D is the nx1 vector of eigenvalues % NUMERICAL METHODS: Matlab Programs % (c)
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m rks4.m

function [T,Z]=rks4(F,a,b,Za, M) %Input - F is the system input as a string 'F' % - a and b are the endpoints of the interval % - Za=[x(a) y(a)] the initial conditions % -
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m trisys.m

function X=trisys (A,D,C,B) %Input - A is the sub diagonal of the coefficient matrix % - D is the main diagonal of the coefficient matrix % - C is the super diagonal of the coefficient matr
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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 srule.m

function Z=srule(f,a0,b0,tol0) %Input - f is the integrand input as a string 'f' % - a0 and b0 are upper and lower limits of integration % - tol0 is the tolerance % Output - Z is a 1
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www.eeworm.com/read/151556/12201381

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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www.eeworm.com/read/151556/12201387

m qr2.m

function D=qr2(A,epsilon) %Input - A is a symmetric tridiagonal nxn matrix % - epsilon is the tolerance %Output - D is the nx1 vector of eigenvalues % NUMERICAL METHODS: MATLAB Programs %(c) 19
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