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Some NP-complete problems in quadratic and nonlinear programming
Authors:Katta G. Murty  Santosh N. Kabadi
Affiliation:1. Department of Industrial and Operations Engineering, The University of Michigan, 1205 Beal Avenue, 48109-2117, Ann Arbor, MI, USA
2. Faculty of Administration, University of New Brunswick, E3B 5A6, Fredericton, NB, Canada
Abstract:In continuous variable, smooth, nonconvex nonlinear programming, we analyze the complexity of checking whether
  1. a given feasible solution is not a local minimum, and
  2. the objective function is not bounded below on the set of feasible solutions.
We construct a special class of indefinite quadratic programs, with simple constraints and integer data, and show that checking (a) or (b) on this class is NP-complete. As a corollary, we show that checking whether a given integer square matrix is not copositive, is NP-complete.
Keywords:
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