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Könyv Probabilistic Cellular Automata Pierre-Yves Louis

Probabilistic Cellular Automata

Szerző: Pierre-Yves Louis, Francesca R. Nardi
Nyelv: Angol
Kötés: Kemény kötésű
Kiadó: Springer International Publishing AG
Elérhetőség: Beszállítói készleten
Küldés 10-13 napon belül
57 970 Ft
This book explores Probabilistic Cellular Automata (PCA) from the perspectives of statistical mechan...

Információk a könyvről

Szerző
Pierre-Yves Louis, Francesca R. Nardi
Nyelv
Angol
Kötés
Könyv - Kemény kötésű
Kiadva
2018
oldal
344
EAN
9783319655567
ISBN
3319655566
Enbook ID
16730537
Kiadó
Springer International Publishing AG
Súly
6682
Méretek
155 x 235 x 25

Teljes leírás

This book explores Probabilistic Cellular Automata (PCA) from the perspectives of statistical mechanics, probability theory, computational biology and computer science. PCA are extensions of the well-known Cellular Automata models of complex systems, characterized by random updating rules. Thanks to their probabilistic component, PCA offer flexible computing tools for complex numerical constructions, and realistic simulation tools for phenomena driven by interactions among a large number of neighboring structures. PCA are currently being used in various fields, ranging from pure probability to the social sciences and including a wealth of scientific and technological applications. This situation has produced a highly diversified pool of theoreticians, developers and practitioners whose interaction is highly desirable but can be hampered by differences in jargon and focus. This book - just as the workshop on which it is based - is an attempt to overcome these difference and foster interest among newcomers and interaction between practitioners from different fields. It is not intended as a treatise, but rather as a gentle introduction to the role and relevance of PCA technology, illustrated with a number of applications in probability, statistical mechanics, computer science, the natural sciences and dynamical systems. As such, it will be of interest to students and non-specialists looking to enter the field and to explore its challenges and open issues.

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