Data structures & program design
Data structures & program design
Totally bounded spaces and compact ordered spaces as domains of computation
Topology and category theory in computer science
Control flow semantics
Analytic Analysis of Algorithms
ICALP '92 Proceedings of the 19th International Colloquium on Automata, Languages and Programming
The correspondence between partial metrics and semivaluations
Theoretical Computer Science - Mathematical foundations of programming semantics
Ordered fractal semigroups as a model of computation
Mathematical and Computer Modelling: An International Journal
An Application of Generalized Complexity Spaces to Denotational Semantics via the Domain of Words
LATA '09 Proceedings of the 3rd International Conference on Language and Automata Theory and Applications
Aggregation of asymmetric distances in Computer Science
Information Sciences: an International Journal
The Hausdorff fuzzy quasi-metric
Fuzzy Sets and Systems
Domain theoretic characterisations of quasi-metric completeness in terms of formal balls†
Mathematical Structures in Computer Science
Modeling the dynamics of concurrent computing systems
Computers & Mathematics with Applications
IWANN'11 Proceedings of the 11th international conference on Artificial neural networks conference on Advances in computational intelligence - Volume Part II
The average running time of an algorithm as a midpoint between fuzzy sets
Mathematical and Computer Modelling: An International Journal
Notes on "Modeling the dynamics of concurrent computing systems"
Computers & Mathematics with Applications
Petri Nets and Discrete Events Systems
International Journal of Software Science and Computational Intelligence
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A new mathematical model is introduced for the study of the domain of words. We do it by means of the introduction of a suitable balanced quasi-metric on the set of all words over an alphabet. It will be shown that this construction has better quasi-metric and topological properties than several classical constructions. We also prove a fixed point theorem which allows us to develop an application for the study of probabilistic divide and conquer algorithms.