Semidefinite programming for min–max problems and games
✍ Scribed by R. Laraki; J. B. Lasserre
- Publisher
- Springer-Verlag
- Year
- 2010
- Tongue
- English
- Weight
- 310 KB
- Volume
- 131
- Category
- Article
- ISSN
- 0025-5610
No coin nor oath required. For personal study only.
📜 SIMILAR VOLUMES
For a min-max problem in the form of minxEx maxtET {A(X)}, the nondi\_fferentiability of the max function F(x) --maxtET {ft(x)} presents special difficulty in finding optimal solutions. We show that an entropic regularization procedure can provide a smooth approximation Fp(x) that uniformly converge
This paper investigates the complexity of the min-max and min-max regret assignment problems both in the discrete scenario and interval data cases. We show that these problems are strongly NP-hard for an unbounded number of scenarios. We also show that the interval data min-max regret assignment pro
Karloff and Zwick obtained recently an optimal 7r8-approximation algorithm for MAX 3-SAT. In an attempt to see whether similar methods can be used to obtain a 7r8-approximation algorithm for MAX SAT, we consider the most natural generalization of MAX 3-SAT, namely MAX 4-SAT. We present a semidefinit