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- W376676247 abstract "We show that the linear or quadratic 0/1 program P:min{cTx+xTFx:Ax=b;x∈{0,1}n}, can be formulated as a MAX-CUT problem whose associated graph is simply related to the matrices F and ATA. Hence the whole arsenal of approximation techniques for MAX-CUT can be applied. We also compare the lower bound of the resulting semidefinite (or Shor) relaxation with that of the standard LP-relaxation and the first semidefinite relaxations associated with the Lasserre hierarchy and the copositive formulations of P." @default.
- W376676247 created "2016-06-24" @default.
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- W376676247 date "2016-03-01" @default.
- W376676247 modified "2023-10-03" @default.
- W376676247 title "A MAX-CUT formulation of 0/1 programs" @default.
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- W376676247 doi "https://doi.org/10.1016/j.orl.2015.12.014" @default.
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