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Checking local optimality in constrained quadratic programming is NP- hard. (English) Zbl 0644.90067
Summary: We prove that the problem of checking local optimality for a feasible point and the problem of checking if a local minimum is strict, are NP- hard problems. As a consequence the problem of checking whether a function is locally strictly convex is also NP-hard.

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