Probabilistic models, such as hidden Markov models or Bayesian networks, are commonly used to model biological data. Much of their popularity can be attributed to the existence of efficient and robust ...

The success of algorithms is indisputable. They are the invisible conductors of precision in a world overloaded with data. From predicting weather and optimizing traffic to diagnosing diseases and ...

In recent years, the Massively Parallel Computation (MPC) model has gained significant attention. However, most of distributed and parallel graph algorithms in the MPC model are designed for static ...

Mathematics of Operations Research, Vol. 18, No. 1 (Feb., 1993), pp. 71-97 (27 pages) This paper is concerned with the design and probabilistic analysis of algorithms for the maximum-flow problem and ...

The phenomenal success of our integrated circuits managed to obscure an awkward fact: they're not always the best way to solve problems. The features of modern computers—binary operations, separated ...