NP is as easy as detecting unique solutions
STOC '85 Proceedings of the seventeenth annual ACM symposium on Theory of computing
Journal of Computer and System Sciences - 26th IEEE Conference on Foundations of Computer Science, October 21-23, 1985
Recognition problems for special classes of polynomials in 0-1 variables
Mathematical Programming: Series A and B
Parallel branch and bound algorithms for quadratic zero-one programs on the hypercube architecture
Annals of Operations Research
Construction of test problems in quadratic bivalent programming
ACM Transactions on Mathematical Software (TOMS)
On the complexity of unique solutions
SFCS '82 Proceedings of the 23rd Annual Symposium on Foundations of Computer Science
Checking local optimality in constrained quadratic programming is NP-hard
Operations Research Letters
A new linearization technique for multi-quadratic 0-1 programming problems
Operations Research Letters
On complexity of unconstrained hyperbolic 0-1 programming problems
Operations Research Letters
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We prove that the problem of checking whether a quadratic 0-1 problem has a unique solution is NP-hard. Furthermore, we prove that finding the global minimum of quadratic 0-1 programming with unique solution remains an NP-hard problem. Regarding local search, we prove that the problem of finding a discrete local minimum for quadratic 0-1 problems, with two coordinates being fixed, is NP-hard. In addition, we discuss an algorithm for computing discrete local minima.