2012
DOI: 10.48550/arxiv.1210.3684
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Heuristic algorithms for the bipartite unconstrained 0-1 quadratic programming problem

Daniel Karapetyan,
Abraham P. Punnen

Abstract: We study the Bipartite Unconstrained 0-1 Quadratic Programming Problem (BQP) which is a relaxation of the Unconstrained 0-1 Quadratic Programming Problem (QP). Applications of the BQP include mining discrete patterns from binary data, approximating matrices by rank-one binary matrices, computing cut-norm of a matrix, and solving optimization problems such as maximum weight biclique, bipartite maximum weight cut, maximum weight induced subgraph of a bipartite graph, etc. We propose several classes of heuristic … Show more

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Cited by 2 publications
(2 citation statements)
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“…Alternating Algorithm is a strategy well-known in non-linear programming literature as coordinate-wise descent. Similar underlying ideas are used in the context of other bilinear programming problems by various authors [18,20,25].…”
Section: The H-exchange Neighborhoodmentioning
confidence: 94%
“…Alternating Algorithm is a strategy well-known in non-linear programming literature as coordinate-wise descent. Similar underlying ideas are used in the context of other bilinear programming problems by various authors [18,20,25].…”
Section: The H-exchange Neighborhoodmentioning
confidence: 94%
“…To the best of our knowledge, BQP01 has not been thoroughly investigated in literature, especially from the point of view of polynomially solvable special cases. Some recent references on the problem considers theoretical analysis of approximation algorithms [30] and experimental analysis of heuristics [14,18]. The primary focus of this work is to identify polynomially solvable special cases of BQP01.…”
Section: Introductionmentioning
confidence: 99%