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A lower bound for a constrained quadratic 0–1 minimization problem

✍ Scribed by Alain Billionnet; Alain Faye


Publisher
Elsevier Science
Year
1997
Tongue
English
Weight
659 KB
Volume
74
Category
Article
ISSN
0166-218X

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✦ Synopsis


Given a quadratic pseudo-Boolean function f (x 1, . , XJ written as a multilinear polynomial in its variables, Hammer et al. [7] have studied, in their paper "Roof duality, complementation and persistency in quadratic 0-I optimization", the greatest constant c such that there exists a quadratic posiform 4 satisfyingf= c + 4 for all x E {0, 1)". Obviously c is a lower bound to the minimum of,f: In this paper we consider the problem of minimizing a quadratic pseudo-Boolean function subject to the cardinality constraint CiZl n xi = k and we propose a linear programming method to compute the greatest constant c such that there exists a quadratic posiform 4 satisfyingf= c + 4 for all x E {O,l}" with C,=l,n xi = k. As in the unconstrained cast c is a lower bound to the optimum. Some computational tests showing how sharp this bound is in practice are reported.


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