04557nam a22005295i 4500 978-0-8176-4415-4 DE-He213 20260521092025.0 cr nn 008mamaa 100301s2005 xxu| s |||| 0|eng d 9780817644154 99780817644154 10.1007/b138451 doi 570.151 23 Deutsch, Andreas. author. Cellular Automaton Modeling of Biological Pattern Formation [electronic resource] : Characterization, Applications, and Analysis / by Andreas Deutsch, Sabine Dormann. Boston, MA : Birkhäuser Boston, 2005. XXVI, 334 pp. 131 illus. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Modeling and Simulation in Science, Engineering and Technology General Principles, Theories, and Models of Pattern Formation -- and Outline -- On the Origin of Patterns -- Mathematical Modeling of Biological Pattern Formation -- Cellular Automaton Modeling -- Cellular Automata -- Applications -- Random Movement -- Growth Processes -- Adhesive Cell Interaction -- Alignment and Cellular Swarming -- Pigment Cell Pattern Formation -- Tissue and Tumor Development -- Turing Patterns and Excitable Media -- Discussion and Outlook. This book focuses on a challenging application field of cellular automata: pattern formation in biological systems, such as the growth of microorganisms, dynamics of cellular tissue and tumors, and formation of pigment cell patterns. These phenomena, resulting from complex cellular interactions, cannot be deduced solely from experimental analysis, but can be more easily examined using mathematical models, in particular, cellular automaton models. While there are various books treating cellular automaton modeling, this interdisciplinary work is the first one covering biological applications. The book is divided into three parts: Part I deals with general principles, theories, and models of pattern formation; Part II examines cellular automaton modeling; and Part III explains various applications. The models and analytic techniques described may be extended to other exciting applications in biology, medicine, and immunology. Key topics and features: * Provides an introduction and historical account of the principles of biological pattern formation (morphogenesis) * Gives an overview of mathematical modeling approaches to morphogenesis, and an introduction to cellular automata and analytic techniques * A supplementary web-based Java applet---Cellular Automaton Simulator---enables interactive simulation of various cellular automaton applications described in the book; available on the internet at www.biomodeling.info * Self-contained presentation is accessible to a broad audience; only basic calculus and linear algebra are required * Careful balance of theory, models, and applications useful to both experimentalists and theoreticians * Includes suggestions for further research topics The book is aimed at researchers, practitioners, and students in applied mathematics, mathematical biology, computational physics, bioengineering, and computer science interested in a cellular automaton approach to biological modeling. The book's accessible presentation and interdisciplinary approach make it suitable for graduate and advanced undergraduate courses and seminars in mathematical biology, biomodeling, and biocomputing. MATHEMATICS. COMPUTER SIMULATION. BIOLOGY MATHEMATICS. PHYSIOLOGY MATHEMATICS. MATHEMATICAL PHYSICS. MATHEMATICS. MATHEMATICAL BIOLOGY IN GENERAL. MATHEMATICAL MODELING AND INDUSTRIAL MATHEMATICS. PHYSIOLOGICAL, CELLULAR AND MEDICAL TOPICS. APPLICATIONS OF MATHEMATICS. SIMULATION AND MODELING. MATHEMATICAL AND COMPUTATIONAL PHYSICS. Dormann, Sabine. author. SpringerLink (Online service) Springer eBooks Printed edition: 9780817642815 Modeling and Simulation in Science, Engineering and Technology http://dx.doi.org/10.1007/b138451 Ver el texto completo en las instalaciones del CICY ZDB-2-SMA ddc ER 35549 35549 0 0 ddc 0 0 LE CICY CICY EL 2025-10-06 0 570.151 2025-10-06 08:44:34 2025-10-06 ER