Stochastic optimization problems provide a means to model uncertainty in the input data where the uncertainty is modeled by a probability distribution over the possible realizatio...
Stochastic optimization problems provide a means to model uncertainty in the input data where the uncertainty is modeled by a probability distribution over the possible realizatio...
Abstract. This paper presents a new method for studying protein folding kinetics. It uses the recently introduced Stochastic Roadmap Simulation (SRS) method to estimate the transit...
Tsung-Han Chiang, Mehmet Serkan Apaydin, Douglas L...
There are several parallel programming models available for numerical computations at diļ¬erent levels of expressibility and ease of use. For the development of new domain speciļ¬...
We present a new method to compute upper bounds of the number of solutions of binary integer programming (BIP) problems. Given a BIP, we create a dynamic programming (DP) table for...
Siddhartha Jain, Serdar Kadioglu, Meinolf Sellmann