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The Art of Modeling Dynamic Systems: Forecasting for Chaos, Randomness and Determinism (Dover Books on Computer Science)
This text demonstrates the roles of statistical methods, coordinate transformations, and mathematical analysis in mapping complex, unpredictable dynamical systems. Written by a well-known authority in the field, it employs practical examples and analogies, rather than theorems and proofs, to characterize the benefits and limitations of modeling tools. 1991 edition.
Amazon Sales Rank: #71510 in Books Published on: 2008-01-24 Original language: English Number of items: 1 Dimensions: 8.50" h x .83" w x 5.98" l, .94 pounds Binding: Paperback 416 pages
From the Publisher In the coverage of dynamics, there is a definite gap between ``picture-book'' popularizations and the technical literature. This work fills that gap. Shows engineers and scientists how, by the application of statistical methods, coordinate transformations and mathematical analysis, any complex, unpredictable dynamical system can be mapped--transformed into a simpler, predictable system. The various modeling tools available, their benefits and their limitations are described. Examples and analogies are used in place of theorems and proofs, making this an immediately practical book. By showing how to make models more meaningful and useful, it will be particularly helpful in clearing up the impasse between economics and system dynamics. Features a number of carefully selected references to more mathematical treatments, examples of some of the more specialized techniques and case histories of some models.
Most helpful customer reviews 13 of 13 people found the following review helpful. Mathematical Depth and Descriptive Simplicity By X42 I find myself agreeing with all the comments made so far.It's not too common to find a book that is able to describe in simple terms, such a large and diverse range of mathematical tools.The author uses a framework - to tie together tools used in describing and handling deterministic, semi deterministic, and stochastic systems. For an example of Deterministic, try ODE's (ordinary differential equations), for semi deterministic - try Periodic but noisy wave-forms (some stock prices), and finally Stochastic - Random looking waveforms that have underlying patterns that can be described using either using Chaotic indicators (Hurst, Liapunov ) or probability type descriptors.This book is the kind of thing you needed to help steer you through those dry mathematical books that are divorced from reality - A sort of classification system for deciphering what kind of gunpowder was used in those display's of intellectual fireworks from the tops of ivory towers. Kinda "So thats what all that maths means, but in plain english".A depth of understanding, for practical application, without intellectual egotism and opaqueness. (But then maybe I'm just a bit thick ... :)I'd tend to call this book as an equivalent to the Rosetta Stone for the maths of dynamical systems.You may not use it directly - but you will benefit and grow in understanding from its' plain and simple sign posts along your journey.It has its place on my book shelf. 19 of 21 people found the following review helpful. Single best reference for "modern" applied modeling By A Customer This is a fantastic book and I'm sorry it's hard to get now. I found it by accident in a used book store in Madison, WI, in 1995 and found I learned a lot from it, even though by that time I had already taken multiple classes in Differential Equations, Linear Algebra, Statistics, etc. Dr. Morrison really sets out in lucid detail many of the important developments in applied modeling theory--dynamical systems, stochastic systems, the fudamentals that lie behind them--from a very useful perspective, and one that is often missing from the orthodox academic treatments. What he chooses not to cover in detail he references thoroughly. I wish that I had had this book when I was learning many of the topics. Anyone who is seriously considering learning dynamic modeling should read this book and I have little doubt that fairly experienced modelers will find something between the covers. 8 of 8 people found the following review helpful. A masterpiece By jerry f This is the kind of book that should be available in every area of science and mathematics. A book that is not a research book, but yet is not a broad popularization. This book can benefit both persons who are just beginning a study of dynamic modeling and I dare say things will be learned by even those that are researchers in the area. Good work Foster Morrison whoever you are. See all 8 customer reviews...
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