Abstract
The quadratic programming problem is known to be NP-hard for Hessian matrices with only one negative eigenvalue, but it is tractable for convex instances. These facts yield to consider the number of negative eigenvalues as a complexity measure of quadratic programs. We prove here that the clique problem is tractable for two variants of its Motzkin-Strauss quadratic formulation with a fixed number of negative eigenvalues (with multiplicities).
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Acknowledgments
Research is partially supported by LATNA laboratory, National Research University Higher School of Economics, RF government grant, ag. 11.G34.31.00357.
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Malyshev, D.S., Pardalos, P.M. The clique problem for graphs with a few eigenvalues of the same sign. Optim Lett 9, 839–843 (2015). https://doi.org/10.1007/s11590-014-0805-z
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DOI: https://doi.org/10.1007/s11590-014-0805-z