Following the well-studied two-stage optimization framework for stochastic optimization [15, 18], we study approximation algorithms for robust two-stage optimization problems with ...
Uriel Feige, Kamal Jain, Mohammad Mahdian, Vahab S...
Abstract. Ant Colony Optimization (ACO) is a paradigm that employs a set of cooperating agents to solve functions or obtain good solutions for combinatorial optimization problems. ...
In this paper, we study the problem of an optimal assignment of a tree-structured context reasoning procedure onto the computation resources in a hostsatellites configuration. The...
We present a motion synthesis framework capable of producing a wide variety of important human behaviors that have rarely been studied, including getting up from the ground, crawl...
Speed improvements in today's processors have largely been delivered in the form of multiple cores, increasing the importance of ions that ease parallel programming. Software...