Some NP-complete problems in quadratic and nonlinear programming
Mathematical Programming: Series A and B
On the complexity of approximating a KKT point of quadratic programming
Mathematical Programming: Series A and B
Leontief economies encode nonzero sum two-player games
SODA '06 Proceedings of the seventeenth annual ACM-SIAM symposium on Discrete algorithm
The complexity of computing a Nash equilibrium
Proceedings of the thirty-eighth annual ACM symposium on Theory of computing
Computing Nash Equilibria: Approximation and Smoothed Complexity
FOCS '06 Proceedings of the 47th Annual IEEE Symposium on Foundations of Computer Science
Exchange market equilibria with Leontief's utility: Freedom of pricing leads to rationality
Theoretical Computer Science
An optimization approach for approximate Nash equilibria
WINE'07 Proceedings of the 3rd international conference on Internet and network economics
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We consider a linear complementarity problem (LCP) arisen fromthe Arrow-Debreu-Leontief competitive economy equilibrium where theLCP coefficient matrix is symmetric. We prove that the decisionproblem, to decide whether or not there exists a complementarysolution, is NP-complete. Under certain conditions, an LCP solutionis guaranteed to exist and we present a fully polynomial-timeapproximation scheme (FPTAS) for computing such a solution,although the LCP solution set can be non-convex or non-connected.Our method is based on solving a quadratic social utilityoptimization problem (QP) and showing that a certain KKT point ofthe QP problem is an LCP solution. Then, we further show that sucha KKT point can be approximated with running time$\mathcal{O}((\frac{1}{\epsilon})\log (\frac{1}{\epsilon})\log(\log(\frac{1}{\epsilon}))$ in accuracyε ∈ (0,1) and a polynomial in problemdimensions. We also report preliminary computational results whichshow that the method is highly effective.