Code covered by the BSD License  

Highlights from
slatec

from slatec by Ben Barrowes
The slatec library converted into matlab functions.

[nm,n,b,dl,m,z]=rebakb(nm,n,b,dl,m,z);
function [nm,n,b,dl,m,z]=rebakb(nm,n,b,dl,m,z);
%***BEGIN PROLOGUE  REBAKB
%***PURPOSE  Form the eigenvectors of a generalized symmetric
%            eigensystem from the eigenvectors of derived matrix output
%            from REDUC2.
%***LIBRARY   SLATEC (EISPACK)
%***CATEGORY  D4C4
%***TYPE      SINGLE PRECISION (REBAKB-S)
%***KEYWORDS  EIGENVALUES, EIGENVECTORS, EISPACK
%***AUTHOR  Smith, B. T., et al.
%***DESCRIPTION
%
%     This subroutine is a translation of the ALGOL procedure REBAKB,
%     NUM. MATH. 11, 99-110(1968) by Martin and Wilkinson.
%     HANDBOOK FOR AUTO. COMP., VOL.II-LINEAR ALGEBRA, 303-314(1971).
%
%     This subroutine forms the eigenvectors of a generalized
%     SYMMETRIC eigensystem by back transforming those of the
%     derived symmetric matrix determined by  REDUC2.
%
%     On Input
%
%        NM must be set to the row dimension of the two-dimensional
%          array parameters, B and Z, as declared in the calling
%          program dimension statement.  NM is an INTEGER variable.
%
%        N is the order of the matrix system.  N is an INTEGER
%          variable.  N must be less than or equal to NM.
%
%        B contains information about the similarity transformation
%          (Cholesky decomposition) used in the reduction by  REDUC2
%          in its strict lower triangle.  B is a two-dimensional
%          REAL array, dimensioned B(NM,N).
%
%        DL contains further information about the transformation.
%          DL is a one-dimensional REAL array, dimensioned DL(N).
%
%        M is the number of eigenvectors to be back transformed.
%          M is an INTEGER variable.
%
%        Z contains the eigenvectors to be back transformed in its
%          first M columns.  Z is a two-dimensional REAL array
%          dimensioned Z(NM,M).
%
%     On Output
%
%        Z contains the transformed eigenvectors in its first
%          M columns.
%
%     Questions and comments should be directed to B. S. Garbow,
%     APPLIED MATHEMATICS DIVISION, ARGONNE NATIONAL LABORATORY
%     ------------------------------------------------------------------
%
%***REFERENCES  B. T. Smith, J. M. Boyle, J. J. Dongarra, B. S. Garbow,
%                 Y. Ikebe, V. C. Klema and C. B. Moler, Matrix Eigen-
%                 system Routines - EISPACK Guide, Springer-Verlag,
%                 1976.
%***ROUTINES CALLED  (NONE)
%***REVISION HISTORY  (YYMMDD)
%   760101  DATE WRITTEN
%   890831  Modified array declarations.  (WRB)
%   890831  REVISION DATE from Version 3.2
%   891214  Prologue converted to Version 4.0 format.  (BAB)
%   920501  Reformatted the REFERENCES section.  (WRB)
%***end PROLOGUE  REBAKB
%
persistent i i1 ii j k x ; 

if isempty(i), i=0; end;
if isempty(j), j=0; end;
if isempty(k), k=0; end;
if isempty(i1), i1=0; end;
if isempty(ii), ii=0; end;
b_shape=size(b);b=reshape([b(:).',zeros(1,ceil(numel(b)./prod([nm])).*prod([nm])-numel(b))],nm,[]);
dl_shape=size(dl);dl=reshape(dl,1,[]);
z_shape=size(z);z=reshape([z(:).',zeros(1,ceil(numel(z)./prod([nm])).*prod([nm])-numel(z))],nm,[]);
if isempty(x), x=0; end;
%
%***FIRST EXECUTABLE STATEMENT  REBAKB
if( m~=0 )
%
for j = 1 : m;
%     .......... FOR I=N STEP -1 UNTIL 1 DO -- ..........
for ii = 1 : n;
i1 = fix(n - ii);
i = fix(i1 + 1);
x = dl(i).*z(i,j);
if( i~=1 )
%
for k = 1 : i1;
x = x + b(i,k).*z(k,j);
end; k = fix(i1+1);
end;
%
z(i,j) = x;
end; ii = fix(n+1);
end; j = fix(m+1);
end;
%
b_shape=zeros(b_shape);b_shape(:)=b(1:numel(b_shape));b=b_shape;
dl_shape=zeros(dl_shape);dl_shape(:)=dl(1:numel(dl_shape));dl=dl_shape;
z_shape=zeros(z_shape);z_shape(:)=z(1:numel(z_shape));z=z_shape;
end
%DECK REBAK

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