The last two decades have seen enormous progress in the development of sublinear-time algorithms — i.e., algorithms that examine/reveal properties of “data” in less time tha...
This paper describes a system combining model-based and learning-based methods for automated reasoning in large theories, i.e. on a large number of problems that use many axioms, l...
The Agile Manifesto values “customer collaboration over contract negotiation”. However, in many real projects, Agile practitioners spend considerable time and effort negotiati...
Keystroke typing characteristics is considered as one of the important biometric features that can be used to protect users against malicious attacks. In this paper we propose a s...
The paper focuses on means of defining parameterized type categories and algorithms built on such types in Mathematica. Symbolic algorithms based on category theory have the advan...