Probabilistic Cellular Automata: Theory, Applications and Future Perspectives
Language: English
Published by Springer, 2019
Series: Book 28 of 47 - Emergence, Complexity and Computation
- Softcover
- New
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Condition: New
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- Title
- Probabilistic Cellular Automata: Theory, Applications and Future Perspectives
- Publisher
- Springer
- Publication year
- 2019
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 3030097420
- ISBN 13
- 9783030097424
- Series
- Book 28 of 47: Emergence, Complexity and Computation
Offers an 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
Discusses applications in computational (cell) biology, e.g. the Cellular Potts Model and stability of emerging patterns, time to stationarity in simulation algorithms, and transient regimes"Synopsis" may belong to another edition of this title.
About the Author
Pierre-Yves Louis is an associate professor at the 'Laboratoire de Mathématiques et Applications' (University of Poitiers and CNRS, UMR 7348, France), where he teaches applied probability, statistics and stochastic modeling. His research interests include interacting systems of stochastic processes and algorithms, and stochastic models from mathematical, statistical, computational and applied perspectives (in particular in biology and medicine). He holds a PhD in mathematics from Université Lille 1 (France) and Politecnico di Milano (Italy), and his dissertation focused on a study of probabilistic cellular automata from a stochastic processes and statistical mechanics viewpoint. He previously served as an assistant at the University of Potsdam and post-doc fellow at the TU Berlin (Germany). He was trained both in pure mathematics and physics at the University Lille 1. While he was visiting scholar at Eurandom (TU Eindhoven and CNRS-UMI 3022), he was main organizer of a workshop dedicated to PCA. P.-Y. Louis is a regularly invited researcher in the Netherlands, Germany and Italy, where he maintains several ongoing research collaborations. He supervises master students and PhD candidates.
Francesca R. Nardi is an associate professor at the University of Florence’s Department of Mathematics and Computer Science since 2016. Previously, she had a tenure track position (2006-2016) in the Stochastics Section of the Department of Mathematics and Computer Science at Eindhoven University of Technology (the Netherlands). She received her MSc degree (1995) and PhD degree (2001) in mathematics from the University of Rome "Tor Vergata", Italy, and subsequently held post-doc and teaching positions at Eurandom (Eindhoven University of Technology, 2000–2003), the University of Rome "La Sapienza" (2003–2005), and the University of Rome "Roma tre" (2005–2006). Her main research interests are in probability theory, statistical mechanics, and mathematical physics. Applicationsthat motivate her research are statistical physics of equilibrium: phase diagrams and phase transitions; the statistical physics of non-equilibrium: meta-stability; the spread of epidemics over networks for moving populations; random walks in random environments; cut-off phenomena and random graphs. Francesca was the recipient (as PI) of a STAR grant (2011) and an Aspasia grant (2011) from the Netherlands Organization for Scientific Research (NWO). Francesca is regularly visiting The Netherlands where she has several ongoing projects and research collaboration. Francesca has more than 15 years experience teaching courses in basic probability, stochastic processes, large deviations , metastability and random graphs. She supervised and coached master students, PhD students and post docs.
"About the title" may belong to another edition of this title.
Books Puddle
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