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📄 tridiag_ldlt.m

📁 LU decomposition routines in matlab
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function [d, e, iflag] = tridiag_ldlt( d, e);%% TRIDIAG_LDLT computes the LDL^T-decomposition of a %    symmetric positive definite tridiagonal matrix.%% Usage%       [c, d, e, iflag] = tridiag_lu( c, d, e)%% input:%        c:     real(n-1)%               the subdiagonal entries of A %%        d:     real(n)%               the diagonal entries of A %%        e:     real(n-1)%               the superdiagonal entries of A %%%        The matrix is stored as%%               d(1) e(1)%               e(1) d(2) e(2)%                    e(2) d(3) e(3)%                       .    .    .% output:
   %%        d, e are overwritten with the L D factors in compact form%               of A%%%        iflag: error flag%               iflag = 0  LU decomposition could be computed and is%                          stored in  d, e%               iflag = 1  dimension of d, e are not correct%               iflag > 1  zero or negative diagonal element detected %                          in step iflag+1%%%% Matthias Heinkenschloss% Feb 6, 2001iflag = 0;% get size of A and check dimensionsn    = size(d(:),1);if ( n > size(e(:),1)+1 )   iflag = 1;   returnendfor i = 1:n-1   if( d(i) <= 0 )       iflag = i+1;       return   end    t = e(i);   e(i)   = e(i) / d(i);   d(i+1) = d(i+1) - t*e(i);end

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