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    function F = frank(n, k, classname)
%FRANK Frank matrix.
%   F = GALLERY('FRANK',N, K) is the Frank matrix of order N.  It is
%   upper Hessenberg with determinant 1. If K = 1, the elements are
%   reflected about the anti-diagonal (1,N)--(N,1).  The eigenvalues
%   of F may be obtained in terms of the zeros of the Hermite
%   polynomials.  They are positive and occur in reciprocal pairs;
%   thus if N is odd, 1 is an eigenvalue.  F has FLOOR(N/2)
%   ill-conditioned eigenvalues---the smaller ones.

%   For large N, DET(GALLERY('FRANK',N)) comes out far from 1.
%   See [1] and [4] for discussions.
%
%   References:
%   [1] W. L. Frank, Computing eigenvalues of complex matrices by
%       determinant evaluation and by methods of Danilewski and Wielandt,
%       J. Soc. Indust. Appl. Math., 6 (1958), pp. 378-392 (see pp. 385
%       and 388).
%   [2] G. H. Golub and J. H. Wilkinson, Ill-conditioned eigensystems and
%       the computation of the Jordan canonical form, SIAM Review,
%       18 (1976), pp. 578-619 (Section 13).
%   [3] H. Rutishauser, On test matrices, Programmation en Mathematiques
%       Numeriques, Editions Centre Nat. Recherche Sci., Paris, 165,
%       1966, pp. 349-365.  Section 9.
%   [4] J. H. Wilkinson, Error analysis of floating-point computation,
%       Numer. Math., 2 (1960), pp. 319-340 (Section 8).
%   [5] J. H. Wilkinson, The Algebraic Eigenvalue Problem, Oxford
%       University Press, 1965 (pp. 92-93).
%   [6] P. J. Eberlein, A note on the matrices denoted by B_n,
%       SIAM J. Appl. Math., 20 (1971), pp. 87-92.
%   [7] J. M. Varah, A generalization of the Frank matrix,
%       SIAM J. Sci. Stat. Comput., 7 (1986), pp. 835-839.
%
%   References [3], [6], and [7] give details of the eigensystem.
%
%   Nicholas J. Higham
%   Copyright 1984-2005 The MathWorks, Inc.

if isempty(k), k = 0; end

F = minij(n,classname);
%   Take upper Hessenberg part.
F = triu(F,-1);
if k == 0
   p = n:-1:1;
   F = F(p,p)';
end