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 ...

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 ...

Based on complex numerical algorithms programs are used in many areas of life. They track changes in stock prices of companies on the largest stock exchanges, solve complex logistic problems while ...