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Some NP-complete problems in quadratic and nonlinear programming. (English) Zbl 0637.90078
In continuous variable, smooth, nonconvex nonlinear programming, we analyze the complexity of checking whether (a) a given feasible solution is not a local minimum, and (b) 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 no copositive, is NP-complete.

MSC:
90C30 Nonlinear programming
90C20 Quadratic programming
68Q25 Analysis of algorithms and problem complexity
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