In this paper, we propose an algorithm for solving inequality constrained mini-max optimization problem. In this algorithm, an active set strategy is used together with multiplier method to convert ...

Discrete combinatorial optimization has a central role in many scientific disciplines, however, for hard problems we lack linear time algorithms that would allow us to solve very large instances.

Researchers have developed an algorithm that enhances the ability of a quantum computer to more efficiently find the best solution for complicated problems. Tohoku University researchers have ...

It was previously thought that children younger than 7 couldn't find efficient solutions to complex problems, but new ...

This paper deals with the nonlinear complementarity problem on the product space of unit simplices, S. A simplicial variable dimension algorithm developed by van der Laan and Talman for proper ...

A group of researchers at the Massachusetts Institute of Technology have devised a potentially more effective way of helping computers solve some of the toughest optimization problems they face. Their ...

On October 29, 2012, when Hurricane Sandy made landfall, I was in my Brooklyn apartment, refreshing Twitter. The news on my timeline consisted mostly of grim dispatches from amateur storm spotters ...