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📄 modchol.m

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function [l,d]=modchol(A)% PURPOSE: Modified Cholesky algorithm of Elizabeth Eskow and Robert B. Schnabel%          Performs a modified cholesky factorization%          of a SYMMETRIC MATRIX A, of the form P'*A*P + d = L*L'% -----------------------------------------------------------------------------% USAGE: [l,d] = modchol(A)% where: A = symmetric input matrix%        L = cholesky matrix%        d = the minimal diagonal increment according to the Gerschgorin Circle Theorem% ------------------------------------------------------------------------------% NOTES: Useful for dealing with ill-conditioned numerical hessians and the like% Schnabel, R. B. and Eskow, E. 1990. "A New Modified Cholesky Factorization." % SIAM Journal of Scientific Statistical  Computing 11, 1136-58.) %% Altman, M., J. Gill and M. P. McDonald.  2003.  Numerical Issues in Statistical% Computing for the Social Scientist}.  John Wiley \& Sons, has a nice% discussion of this and R-code for this algorithm at:% http://www.hmdc.harvard.edu/numerical_issues/% ------------------------------------------------------------------------------% Jim LeSagen=max(size(A));gamma=max(abs(diag(A)));psi=max(max(abs(A-diag(diag(A)))));delta=eps*max(gamma+psi,1);Bet=sqrt( max([gamma,psi/sqrt(n^2-1),eps]));for k=1:nc(k,k)=A(k,k);end;[q,dummy]=max(abs(diag(c)));for j=1:n %compute jth col of L	l(j,j)=1;	for s=1:j-1	l(j,s)=c(j,s)/d(s);	end	for i=j+1:n	lc=0;		for s=1:j-1		lc=lc+l(j,s)*c(i,s);		end;	c(i,j)=A(i,j)-lc;	end	theta(j)=0;	if (j <=n)	mc=0;		for i=j+1:n			if abs(c(i,j)) >mc			mc= abs(c(i,j)) ;			end			theta(j)=mc;		end	end;	tt=[abs(c(j,j)),(theta(j)/Bet)^2,delta];	d(j)=max(tt);	if (j<n)		for i=j+1:n		c(i,i)=c(i,i)-c(i,j)^2/d(j);		end;	end;end 

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