National Repository of Grey Literature 3 records found  Search took 0.00 seconds. 
Efficient Algorithms for Finite Automata
Polanský, Ondřej ; Lengál, Ondřej (referee) ; Holík, Lukáš (advisor)
This thesis compares languages C++, C#, OCaml and Python based on speed, memory requirements and programming comfort. The goal of this thesis is to find out how much does the choice of a certain programming language impact the performance of programs working with finite automata. The same set of basic and advanced automata algorithms was implemented in each language and their efficiency was measured on a sample of 200 finite automata using a unix based operating system. Finally, the author presents results and discusses suitability of each language for work with finite automata. This thesis can help with selecting an appropriate programming language for multitude of purposes, including development of automata algorithm libraries or the process of designing programs and prototypes that work with finite automata.
Vizualization of Automata Algorithms
Kuchyňka, Jiří ; Češka, Milan (referee) ; Holík, Lukáš (advisor)
Tato práce se zabývá návrhem a implementací generického systému k vizualizaci algoritmů, které pracují nad automaty. Výsledný systém zcela odděluje část, která se věnuje generování dat k vizualizaci a část, která se věnuje vizualizování. Systém pouze určuje jejich komunikační rozhraní. Práce se zaměřuje na integraci takovéhoto systému do existujících knihoven takovým způsobem, aby byly minimalizovány požadavky na programátora, k tomu aby mohl vizualizovat stav svého algoritmu. Práce se také zkráceně věnuje možnostem využití tohoto systému k vizualizaci stavu algoritmu při krokování programem během ledění. Navržený systém může být použit pro výuku, výzkum a praktické aplikace v oblasti teorie automatů. V budoucnu by mohl být systém rozšířen o nástroje k vizualizaci turingových strojů a algoritmů pracujících nad nimi.
Efficient Algorithms for Finite Automata
Polanský, Ondřej ; Lengál, Ondřej (referee) ; Holík, Lukáš (advisor)
This thesis compares languages C++, C#, OCaml and Python based on speed, memory requirements and programming comfort. The goal of this thesis is to find out how much does the choice of a certain programming language impact the performance of programs working with finite automata. The same set of basic and advanced automata algorithms was implemented in each language and their efficiency was measured on a sample of 200 finite automata using a unix based operating system. Finally, the author presents results and discusses suitability of each language for work with finite automata. This thesis can help with selecting an appropriate programming language for multitude of purposes, including development of automata algorithm libraries or the process of designing programs and prototypes that work with finite automata.

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