Although unstructured mesh algorithms are a popular means of solving problems across a broad range of disciplines—from texture mapping to computational fluid dynamics—they ar...
Brian S. White, Sally A. McKee, Bronis R. de Supin...
Abstract. Finite-state machines are the most pervasive models of computation, not only in theoretical computer science, but also in all of its applications to real-life problems, a...
The increasing relevance of areas such as real-time and embedded systems, pervasive computing, hybrid systems control, and biological and social systems modeling is bringing a gro...
Carlo A. Furia, Dino Mandrioli, Angelo Morzenti, M...
Markov random field (MRF) theory provides a basis for modeling contextual constraints in visual processing and interpretation. It enables us to develop optimal vision algorithms sy...
The size of computer networks, along with their bandwidths, is growing exponentially. To support these large, high-speed networks, it is neccessary to be able to forward packets in...