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Add indefinite property and two Zielke matrices.
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‎contest/private/Contents.m

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% Version 1.2 20-May-2008
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% Alan Taylor and Des Higham
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%
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% baitsample - Bait and prey subsampling
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% curvature - Curvatures (clustering coefficients)
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% erdrey - Erdos-Renyi model graph
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% geo - Geometric random graph
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% gilbert - Gilbert model graph
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% kleinberg - Kleinberg model graph
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% lap - Laplacian matrix (normalized or unnormalized)
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% lockandkey - Lock and key model graph
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% mht - Mean hitting times
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% pagerank - PageRank matrix
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% pathlength - Minimum path lengths
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% pref - Scale free random graph
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% renga - Range dependent random graph
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% rewire - Redirect edges
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% short - Add shortcuts
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% smallw - Small world random graph
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% sticky - Stickiness model random graph
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% unisample - Uniform subsampling
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% baitsample - Bait and prey subsampling
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% curvature - Curvatures (clustering coefficients)
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% erdrey - Erdos-Renyi model graph
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% geo - Geometric random graph
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% gilbert - Gilbert model graph
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% kleinberg - Kleinberg model graph
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% lap - Laplacian matrix (normalized or unnormalized)
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% lockandkey - Lock and key model graph
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% mht - Mean hitting times
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% pagerank - PageRank matrix
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% pathlength - Minimum path lengths
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% pref - Scale free random graph
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% renga - Range dependent random graph
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% rewire - Redirect edges
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% short - Add shortcuts
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% smallw - Small world random graph
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% sticky - Stickiness model random graph
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% unisample - Uniform subsampling
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For documentation see
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- https://www.maths.ed.ac.uk/~dhigham/CONTEST_package.html
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- Alan Taylor and Desmond J. Higham. CONTEST: A Controllable Test Matrix
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Toolbox for MATLAB. ACM Trans. Math. Software, 35(4):26:1--26:17, 2009.
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Toolbox for MATLAB. ACM Trans. Math. Software, 35(4):26:1-26:17, 2009.
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https://doi.org/10.1145/1462173.1462175
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Included with permission.
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Included with permission.

‎core/private/Contents.m

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% symmstoch - Symmetric stochastic matrix with given spectrum.
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% vand - Vandermonde matrix.
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% vecperm - Vec-permutation matrix.
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% wilson - Wilson matrix.
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% wilson - Wilson matrix.
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% zielke_symm - Symmetric matrix of Zielke.
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% zielke_nonsymm - Nonsymmetric matrix of Zielke.

‎core/private/augment.m

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% Second edition, Society for Industrial and Applied Mathematics,
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% Philadelphia, PA, 2002; sec. 20.5.
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properties = {'symmetric', 'square', 'random', 'parameter-dependent'};
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properties = {'symmetric', 'indefinite', 'square', 'random', ...
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'parameter-dependent'};
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if nargin == 0, C = []; return, end
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[m, n] = size(A);

‎core/private/blockhouse.m

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% Robert S. Schreiber and Beresford N. Parlett, Block Reflectors: Theory
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% and Computation, SIAM J. Numer. Anal. 25(1), 189-205, 1988.
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properties = {'orthogonal', 'symmetric', 'involutory', 'eigenvalues', ...
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'parameter-dependent'};
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properties = {'orthogonal', 'symmetric', 'indefinite', 'involutory', ...
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'eigenvalues', 'parameter-dependent'};
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if nargin == 0, P = []; return, end
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if size(Z) == 1

‎core/private/dembo9.m

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% Reference:
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% Eric Grosse and Cleve Moler, Underflow Can Hurt, SIAM News 20(6), 1, 1995.
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properties = {'hankel', 'symmetric', 'fixed size', 'rank deficient', ...
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'integer'};
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properties = {'hankel', 'symmetric', 'indefinite', 'fixed size', ...
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'rank deficient', 'integer'};
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A = [%
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-1 1 1 -1 -1 1 1 -1 -1

‎core/private/vand.m

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function [V,properties] = vand(m, p)
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function [V,properties] = vand(m,p)
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%VAND Vandermonde matrix.
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% V = VAND(P), where P is a vector, produces the (primal)
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% Vandermonde matrix based on the points P, i.e. V(i,j) = P(j)^(i-1).
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properties = {'square', 'rectangular', 'parameter-dependent'};
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if nargin == 0, V = []; return, end
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if nargin == 1, p = m; end
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n = length(p);
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‎gallery/private/am_properties.m

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'parameter-dependent'}
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'dramadah', {'toeplitz', 'integer', 'nonnegative',...
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'ill-conditioned', 'unimodular'}
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'fiedler', {'symmetric', 'parameter-dependent'}
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'fiedler', {'symmetric', 'indefinite', 'parameter-dependent'}
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'forsythe', {'eigenvalues', 'parameter-dependent'}
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'frank', {'hessenberg', 'integer', 'nonnegative'}
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'gcdmat', {'symmetric', 'positive definite', 'integer', 'positive',...
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'randsvd', {'orthogonal', 'rectangular', 'square', 'random'}
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'redheff', {'integer', 'nonnegative', 'eigenvalues'}
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'riemann', {'integer', 'eigenvalues'}
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'ris', {'hankel'}
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'ris', {'hankel', 'symmetric', 'indefinite'}
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'sampling', {'eigenvalues'}
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'smoke', {'complex', 'eigenvalues'}
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'toeppd', {'symmetric', 'positive definite', 'toeplitz',...

‎matlab/private/am_properties.m

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'magic', {'integer','positive'}
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'pascal', {'integer', 'positive', 'involutory',...
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'totally nonnegative', 'triangular', 'ill-conditioned'}
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'rosser', {'fixed size', 'symmetric', 'integer', 'positive', ...
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'rank deficient'}
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'rosser', {'fixed size', 'symmetric', 'indefinite', 'integer', ...
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'positive', 'rank deficient'}
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'spiral', {'integer', 'positive'}
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'toeplitz', {'toeplitz', 'square', 'rectangular'}
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'vander', {}
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'wilkinson', {'symmetric', 'tridiagonal', 'integer', 'nonnegative'}
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'wilkinson', {'symmetric', 'indefinite' 'tridiagonal', 'integer', ...
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'nonnegative'}
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};

‎nessie/private/benguela.m

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% a network describing interactions between species in the Benguela
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% marine ecosystem off the southwest coast of South Africa.
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properties = {'symmetric', 'sparse', 'binary', 'fixed size'};
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properties = {'symmetric', 'indefinite', 'sparse', 'binary', 'fixed size'};
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A = load('benguela.mat');
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A = A.Benguela_A;
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A = A.Benguela_A;

‎nessie/private/eer.m

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% a network of connections betweem physically contiguous European
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% economic regions.
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properties = {'symmetric', 'sparse', 'binary', 'fixed size'};
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properties = {'symmetric', 'indefinite', 'sparse', 'binary', 'fixed size'};
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A = load('eer.mat');
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A = A.A;
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A = A.A;

‎nessie/private/guppy.m

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% GUPPY is an 99-by-99 adjacency matrix that represents
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% a network of social interactions in a population of guppys.
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properties = {'symmetric', 'sparse', 'fixed size'};
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properties = {'symmetric', 'indefinite', 'sparse', 'fixed size'};
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A = load('guppy.mat');
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A = A.guppy;
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A = A.guppy;

‎nessie/private/metabolite.m

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% METABOLITE is a 376-by-376 adjacency matrix that represents
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% a metabolite network, whose nodes are chemical formulas.
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properties = {'symmetric', 'sparse', 'binary', 'fixed size'};
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properties = {'symmetric', 'indefinite', 'sparse', 'binary', 'fixed size'};
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A = load('Tr.mat');
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A = A.Tr;

‎nessie/private/ppi.m

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% PPI is an 4388-by-4388 adjacency matrix that represents
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% a protein-protein interaction network for yeast.
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properties = {'symmetric', 'sparse', 'binary', 'fixed size'};
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properties = {'symmetric', 'indefinite', 'sparse', 'binary', 'fixed size'};
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A = load('ppi.mat');
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A = A.A;
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A = A.A;

‎nessie/private/usshelf.m

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% between species in the marine ecosystem of the Northeast US continetnal
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% shelf.
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properties = {'symmetric', 'sparse', 'binary', 'fixed size'};
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properties = {'symmetric', 'indefinite', 'sparse', 'binary', 'fixed size'};
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A = load('usshelf.mat');
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A = A.Shelf_A;
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A = A.Shelf_A;

‎nessie/private/whiskydist.m

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% WHISKYDIST is an 86-by-86 matrix of Euclidean distance between
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% whisky distilleries.
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properties = {'symmetric', 'fixed size'};
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properties = {'symmetric', 'indefinite', 'fixed size'};
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A = load('whisky.mat');
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A = A.whiskydist;
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A = A.whiskydist;

‎prop_list.m

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'fixed size'
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'hankel'
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'hermitian'
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'hermitian indefinite'
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'hessenberg'
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'idempotent'
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'indefinite'
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'ill-conditioned'
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'infinitely divisible'
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'integer'

‎prop_map.m

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M = {
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'banded', {'tridiagonal'}
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'hermitian', {'hermitian indefinite', 'hermitian positive definite'}
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'integer', {'binary'}
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'nonnegative', {'positive'}
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'orthogonal', {'permutation'}
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'symmetric', {'correlation', 'hankel', 'symmetric indefinite', ...
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'positive definite'}
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'symmetric', {'correlation', 'hankel'}
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'positive definite', {'correlation'}
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'totally positive', {'totally negative'}
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};

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