Cellular Automaton Modeling of Biological Pattern Formation Characterization, Examples, and Analysis
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Sprache:Englisch
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Auflage:2nd edition 2017
- 2005 159,99 €
- 2nd edition 2017 62,99 € ausgewählt
62,99 €
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Beschreibung
Produktdetails
Einband
Gebundene Ausgabe
Erscheinungsdatum
10.03.2018
Abbildungen
XXII, 174 illus., 80 illus. in color., schwarz-weiss Illustrationen, farbige Illustrationen
Verlag
Birkhäuser BostonSeitenzahl
464
Maße (L/B/H)
24,1/16/3,2 cm
Gewicht
8513 g
Auflage
2nd edition 2017
Sprache
Englisch
ISBN
978-1-4899-7978-0
The book begins with an introduction to pattern-forming principles in biology and the various mathematical modeling techniques that can be used to analyze them. Cellular automaton models are then discussed in detail for different types of cellular processes and interactions, including random movement, cell migration, adhesive cell interaction, alignment and cellular swarming, growth processes, pigment cell pattern formation, tissue development, tumor growth and invasion, and Turing-type patterns and excitable media. In the final chapter, the authors critically discuss possibilities and limitations of the cellular automaton approach in modeling various biological applications, along with future research directions. Suggestions for research projects are provided throughout the book to encourage additional engagement with the material, and an accompanying simulator is available for readers to perform their own simulations on several of the models covered in the text. QR codes are included within the text for easy access to the simulator.
With its accessible presentation and interdisciplinary approach, Cellular Automaton Modeling of Biological Pattern Formation is suitable for graduate and advanced undergraduate students in mathematical biology, biological modeling, and biological computing. It will also be a valuable resource for researchers and practitioners in applied mathematics, mathematical biology, computational physics, bioengineering, and computer science. PRAISE FOR THE FIRST EDITION
“ An ideal guide for someone with a mathematical or physical background to start exploring biological modelling. Importantly, it will also serve as an excellent guide for experienced modellers to innovate and improve their methodologies for analysing simulation results .” —Mathematical Reviews
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