Recent trends in computational modeling of excitable media dynamics: New computational challenges in fluid dynamics analysis - Couverture souple

Ionescu, Adela

 
9783838393162: Recent trends in computational modeling of excitable media dynamics: New computational challenges in fluid dynamics analysis

Synopsis

Nowadays, computational fluid dynamics becomes more and more mature. Its tools are increasing in importance, and constitute a great challenge for the research in this area. The present work is approaching this very actual area, by a special qualitative analysis of excitable media. By approaching this area from the systems' theory standpoint, a great step is made on fulfilling a realist requirement - namely the interdisciplinary approach necessity.The basic target is a high- flying one, namely the study of the structural stability in excitable media, pointing out on the parallelism between the structural stability concept and the mixing concept, in Ottino's sense. The experimental results matched the computational simulations, in a space-time panel with random distributed events. The analyzed statistical cases are very important for further studies on the way of far from equilibrium models.

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Présentation de l'éditeur

Nowadays, computational fluid dynamics becomes more and more mature. Its tools are increasing in importance, and constitute a great challenge for the research in this area. The present work is approaching this very actual area, by a special qualitative analysis of excitable media. By approaching this area from the systems' theory standpoint, a great step is made on fulfilling a realist requirement - namely the interdisciplinary approach necessity.The basic target is a high- flying one, namely the study of the structural stability in excitable media, pointing out on the parallelism between the structural stability concept and the mixing concept, in Ottino's sense. The experimental results matched the computational simulations, in a space-time panel with random distributed events. The analyzed statistical cases are very important for further studies on the way of far from equilibrium models.

Biographie de l'auteur

Adela Ionescu, Ph.D. Mat: Studied Mathematics and Informatics at the University of Craiova, Romania; Ph.D. in Industrial Engineering at Polytechnic University of Bucharest, Lecturer at University of Craiova. Main field of work: computational modeling in fluid dynamics.

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