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Vortrag von Jan Schwiddessen M.Sc. im Doctoral Seminar Mathematics : „Solving Max-Cut using Low-Rank Methods“
Many combinatorial optimization problems on graphs can be reformulated as a quadratic unconstrained binary optimization problem or are equivalent to an instance of the well-known Max-Cut problem. This is also true for the class of linearly constrained binary quadratic problems. In this talk, we present a branch-and-cut solver for the Max-Cut problem and address some algorithmic advances and ideas. Our main tool for solving the occurring semidefinite programs is one of the recently proposed low-rank methods using the Burer-Monteiro factorization. We test our approach on many instances from the literature and compare it to other approaches.
Veranstalter
Vortragende(r)
Jan Schwiddessen (Universität Klagenfurt)
Kontakt
Marie Biedermann (marie [dot] biedermann [at] aau [dot] at)
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