Abstract. Hierarchical (H)-matrices approximate full or sparse matrices using a hierarchical data sparse format. The corresponding H-matrix arithmetic reduces the time complexity o...
The objective of this paper is twofold. First, the problem of generation of real random matrix samples with uniform distribution in structured (spectral) norm bounded sets is stud...
Although many real-world stochastic planning problems are more naturally formulated by hybrid models with both discrete and continuous variables, current state-of-the-art methods ...
Carlos Guestrin, Milos Hauskrecht, Branislav Kveto...
Abstract. This paper deals with self-adapting software that is structured according to a control theory architecture. Such software contains, in addition to its main function, two ...
Mieczyslaw M. Kokar, Kevin M. Passino, Kenneth Bac...
Interpolation is an important component of recent methods for program verification. It provides a natural and effective means for computing separation between the sets of ‘good...