Clustering algorithms such as k-means, the self-organizing map (SOM), or Neural Gas (NG) constitute popular tools for automated information analysis. Since data sets are becoming l...
Abstract. A well studied and difficult class of scheduling problems concerns parallel machines and precedence constraints. In order to model more realistic situations, we consider ...
Abstract. The availability of commodity multiprocessors offers significant opportunities for addressing the increasing computational requirements of optimization applications. To...
Computations on two-dimensional arrays such as matrices and images are one of the most fundamental and ubiquitous things in computational science and its vast application areas, bu...
Abstract. This paper presents a new sequential algorithm to answer the question about the existence of a causal explanation for a set of independence statements (a dependency model...