The paper presents the main ideas about MP grammars, a discrete formalism for describing and deducing dynamical systems, that combines ideas from formal language theory (P systems), recurrent equations, linear algebra and statistical regression. In this framework, some synthetic oscillators are presented which illustrate, in a simple manner, the expressive power of MP grammars in the analysis of interesting phenomena that are crucial in biochemical and biological contexts.

Algorithmic Models of Biochemical Dynamics: MP Grammars Synthetizing Complex Oscillators

MANCA, Vincenzo
2013-01-01

Abstract

The paper presents the main ideas about MP grammars, a discrete formalism for describing and deducing dynamical systems, that combines ideas from formal language theory (P systems), recurrent equations, linear algebra and statistical regression. In this framework, some synthetic oscillators are presented which illustrate, in a simple manner, the expressive power of MP grammars in the analysis of interesting phenomena that are crucial in biochemical and biological contexts.
2013
Complex oscillators; Computational models; discrete dynamics
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11562/702560
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