3/11/2012

Handbook of Dynamic System Modeling (Chapman & Hall/CRC Computer & Information Science Series) Review

Handbook of Dynamic System Modeling (Chapman and Hall/CRC Computer and Information Science Series)
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What took so long? James Gleick's classic popularization "Chaos ..." came out in 1987. Many other books have followed at all levels, from easy-to-read self-study up to unintelligible topological dynamics. Thanks to Prof. Fishwick, we finally have a first-rate Handbook on a subject invented by Isaac Newton, though anticipated by Archimedes and Claudius Ptolemy. (Classical mechanics is NON-linear, relativity and quantum mechanics slightly more so.) This Handbook is really an anthology that presents a lot of the advances of dynamic systems analysis into a host of subject areas, as well as some new methodologies. For something more like a traditional handbook, a collection of algorithms and recipes, there is the Numerical Recipes series, complete with source code. Enjoy! Compute! Publish! Win glorious international recognition. You now have the giants upon whose shoulders you can stand to be able see farther. Numerical Recipes 3rd Edition: The Art of Scientific Computing

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The topic of dynamic models tends to be splintered across various disciplines, making it difficult to uniformly study the subject. Moreover, the models have a variety of representations, from traditional mathematical notations to diagrammatic and immersive depictions. Collecting all of these expressions of dynamic models, the Handbook of Dynamic System Modeling explores a panoply of different types of modeling methods available for dynamical systems.Featuring an interdisciplinary, balanced approach, the handbook focuses on both generalized dynamic knowledge and specific models. It first introduces the general concepts, representations, and philosophy of dynamic models, followed by a section on modeling methodologies that explains how to portray designed models on a computer. After addressing scale, heterogeneity, and composition issues, the book covers specific model types that are often characterized by specific visual- or text-based grammars. It concludes with case studies that employ two well-known commercial packages to construct, simulate, and analyze dynamic models.A complete guide to the fundamentals, types, and applications of dynamic models, this handbook shows how systems function and are represented over time and space and illustrates how to select a particular model based on a specific area of interest.

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