We discuss the parallelization of algorithms for solving polynomial systems symbolically by way of triangular decompositions. We introduce a component-level parallelism for which ...
Stochastic modeling forms the basis for analysis in many areas, including biological and economic systems, as well as the performance and reliability modeling of computers and comm...
Abstract—High computational effort in modern image processing applications like medical imaging or high-resolution video processing often demands for massively parallel special p...
Joachim Keinert, Hritam Dutta, Frank Hannig, Chris...
An Estimation of Distribution Algorithm (EDA) is proposed to approach the Hybrid Flow Shop with Sequence Dependent Setup Times and Uniform Machines in parallel (HFSSDST-UM) proble...
Background: R is the preferred tool for statistical analysis of many bioinformaticians due in part to the increasing number of freely available analytical methods. Such methods ca...