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Solving max-cut to optimality by intersecting semidefinite and polyhedral relaxations
We present a method for finding exact solutions of Max-Cut, the problem of finding a cut of
maximum weight in a weighted graph. We use a Branch-and-Bound setting that applies a …
maximum weight in a weighted graph. We use a Branch-and-Bound setting that applies a …
Improved semidefinite bounding procedure for solving max-cut problems to optimality
We present an improved algorithm for finding exact solutions to Max-Cut and the related
binary quadratic programming problem, both classic problems of combinatorial optimization …
binary quadratic programming problem, both classic problems of combinatorial optimization …
A branch-and-cut algorithm based on semidefinite programming for the minimum k-partition problem
The minimum k-partition (M k P) problem is the problem of partitioning the set of vertices of a
graph into k disjoint subsets so as to minimize the total weight of the edges joining vertices …
graph into k disjoint subsets so as to minimize the total weight of the edges joining vertices …
A branch and bound algorithm for max-cut based on combining semidefinite and polyhedral relaxations
In this paper we present a method for finding exact solutions of the Max-Cut problem max x T
Lx such that x∈{− 1, 1} n. We use a semidefinite relaxation combined with triangle …
Lx such that x∈{− 1, 1} n. We use a semidefinite relaxation combined with triangle …
A new semidefinite programming hierarchy for cycles in binary matroids and cuts in graphs
The theta bodies of a polynomial ideal are a series of semidefinite programming relaxations
of the convex hull of the real variety of the ideal. In this paper we construct the theta bodies …
of the convex hull of the real variety of the ideal. In this paper we construct the theta bodies …
Partial lasserre relaxation for sparse Max-Cut
A common approach to solve or find bounds of polynomial optimization problems like Max-
Cut is to use the first level of the Lasserre hierarchy. Higher levels of the Lasserre hierarchy …
Cut is to use the first level of the Lasserre hierarchy. Higher levels of the Lasserre hierarchy …
The spectra of local minima in spin-glass models
B Kryzhanovsky, M Malsagov - Optical Memory and Neural Networks, 2016 - Springer
The spectra of spin models have been investigated in computation experiments. For the
Sherrington-Kirkpatrick and Edwards-Anderson models we have determined the basic …
Sherrington-Kirkpatrick and Edwards-Anderson models we have determined the basic …
Contraction-based separation and lifting for solving the max-cut problem
T Bonato - 2011 - archiv.ub.uni-heidelberg.de
The max-cut problem is an NP-hard combinatorial optimization problem defined on
undirected weighted graphs. It consists in finding a subset of the graph's nodes such that the …
undirected weighted graphs. It consists in finding a subset of the graph's nodes such that the …
Mix-Matrix Transformation Method for Max-Сut Problem
One usually tries to raise the efficiency of optimization techniques by changing the dynamics
of local optimization. In contrast to the above approach, we propose changing the surface of …
of local optimization. In contrast to the above approach, we propose changing the surface of …
Matrix transformation method in quadratic binary optimization
The paper deals with the binary minimization of a quadratic functional. Typically the problem
is NP-hard and the organization of the quadratic functional landscape in space of multiple …
is NP-hard and the organization of the quadratic functional landscape in space of multiple …