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Algorithms and data structures for the modelling of dynamical systems by means of stochastic finite automata

Robert Logozar orcid id orcid.org/0000-0003-3303-2271 ; Polytechnic of Varazdin, J. Krizanica 33, HR-42000 Varazdin, Croatia


Puni tekst: hrvatski pdf 1.838 Kb

str. 227-242

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Puni tekst: engleski pdf 1.838 Kb

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Sažetak

We elaborate on the design and time-space complexity of data structures and several original algorithms that resulted from the DSA program – a tool that simulates dynamical systems and produces their stochastic finite automata models according to the theory of ϵ-machines. An efficient batch iteration algorithm generates the system points and their binary symbols, and stores them in circular buffers realized as class member arrays. The words extracted from the time series are fed into a dynamically created binary tree of selected height. The tree is then searched for morphologically and stochastically unique subtrees or morphs, by aid of an algorithm that compares (sub)trees by their topology and the descendant nodes' conditional probabilities. The theoretical analysis of algorithms is corroborated by their execution time measurements. The paper exemplifies how an implementation of a scientific modelling tool like the DSA, generates a range of specific algorithmic solutions that can possibly find their broader use.

Ključne riječi

algorithms; data structures; time-space complexity; dynamical systems; stochastic finite automata

Hrčak ID:

83856

URI

https://hrcak.srce.hr/83856

Datum izdavanja:

29.6.2012.

Podaci na drugim jezicima: hrvatski

Posjeta: 2.091 *