Probabilistic Choice Operators (PCOs) are convenient tools to model uncertainty in CP. They are useful to implement randomized algorithms and stochastic processes in the concurrent...
Abstract. Some decision problems related to balanced context-free languages are important for their application to the static analysis of programs generating XML strings. One such ...
In this paper, we analyze two general-purpose encoding types, trees and graphs systematically, focusing on trends over increasingly complex problems. Tree and graph encodings are ...
This paper studies the gap between classical one-way communication complexity C(f) and its quantum counterpart Q(f), under the unbounded-error setting, i.e., it is enough that the ...
The paper describes a conceptual framework for model-driven development based on concise application of UML and modeling tool functionality. A case study of modeling software for l...