lambda_sum_smallest.m
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			function z = lambda_sum_smallest( Y, k )

			% LAMBDA_SUM_SMALLEST Sum of the k smallest eigenvalues of a symmetric matrix.
			% For square matrix X, LAMBDA_SUM_SMALLEST(X,K) is SUM_SMALLEST(EIG(X),k)
			% if X is Hermitian or symmetric and real; and +Inf otherwise.
			%
			% An error results if X is not a square matrix.
			%
			% Disciplined convex programming information:
			% LAMBDA_SUM_SMALLEST is concave and nonmonotonic (at least with
			% respect to elementwise comparison), so its argument must be affine.

			z = - lambda_sum_largest( - Y, k );

			% Copyright 2005-2014 CVX Research, Inc.
			% See the file LICENSE.txt for full copyright information.
			% The command 'cvx_where' will show where this file is located.

R1252/simulation-code/cvx/functions/lambda_sum_smallest.mde096106547amaster