Max-Cut is one of the most studied combinatorial optimization problems because of its wide range of applications and because of its connections with other fields of discrete mathematics. The paper surveys the most recent methods based on SDP reformulation fo Max_cut with some emphasis on their impact on the computation of heuristic and exact solutions

Palagi, L., Piccialli, V., Rendl, F., Rinaldi, G., Wiegele, A. (2012). Computational approaches to Max-cut. In M. Anjos, J. Lasserre (a cura di), Handbook on semidefinite, conic and polynomial optimization (pp. 821-847). Springer US [10.1007/978-1-4614-0769-0_28].

Computational approaches to Max-cut

PICCIALLI, VERONICA;
2012-01-01

Abstract

Max-Cut is one of the most studied combinatorial optimization problems because of its wide range of applications and because of its connections with other fields of discrete mathematics. The paper surveys the most recent methods based on SDP reformulation fo Max_cut with some emphasis on their impact on the computation of heuristic and exact solutions
2012
Settore MAT/09 - RICERCA OPERATIVA
English
Rilevanza internazionale
Capitolo o saggio
Palagi, L., Piccialli, V., Rendl, F., Rinaldi, G., Wiegele, A. (2012). Computational approaches to Max-cut. In M. Anjos, J. Lasserre (a cura di), Handbook on semidefinite, conic and polynomial optimization (pp. 821-847). Springer US [10.1007/978-1-4614-0769-0_28].
Palagi, L; Piccialli, V; Rendl, F; Rinaldi, G; Wiegele, A
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2108/75593
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