Despite the explosive new interest in Distributed Computing, bringing software — particularly legacy software — to parallel platforms remains a daunting task. The Self Distrib...
Bernd Klauer, Frank Eschmann, Ronald Moore, Klaus ...
Some of the currently best-known approximation algorithms for network design are based on random sampling. One of the key steps of such algorithms is connecting a set of source nod...
A classical learning problem in Inductive Inference consists of identifying each function of a given class of recursive functions from a finite number of its output values. Unifor...
This paper uses semiotic theories to model how meaning is constructed during an IS development project. Conventionally, shared meanings among all project stakeholders are regarded...
In order to achieve a high level of abstraction, array-oriented languages provide language constructs for defining array operations in a shape-invariant way. However, when trying ...