Description: Understanding Nonlinear Dynamics by Daniel Kaplan, Leon Glass Mathematics is playing an ever more important role in the physical and biological sciences, provoking a blurring of boundaries between scientific disciplines and a resurgence of interest in the modern as well as the classical techniques of applied mathematics. FORMAT Paperback LANGUAGE English CONDITION Brand New Publisher Description UNDERSTANDING NONLINEAR DYNAMICS is based on an undergraduate course taught for many years to students in the biological sciences. The text provides a clear and accessible development of many concepts from contemporary dynamics, including stability and multistability, cellular automata and excitable media, fractals, cycles, and chaos. A chapter on time-series analysis builds on this foundation to provide an introduction to techniques for extracting information about dynamics from data. The text will be useful for courses offered in the life sciences or other applied science programs, or as a supplement to emphasize the application of subjects presented in mathematics or physics courses. Extensive examples are derived from the experimental literature, and numerous exercise sets can be used in teaching basic mathematical concepts and their applications. Concrete applications of the mathematics are illustrated in such areas as biochemistry, neurophysiology, cardiology, and ecology. The text also provides an entry point for researchers not familiar with mathematics but interested in applications of nonlinear dynamics to the life sciences. Notes Springer Book Archives Author Biography Daniel Kaplan is Associate Professor in the Department of Mathematics and Computer Science at Macalester College. Table of Contents 1 Finite-Difference Equations.- 1.1 A Mythical Field.- 1.2 The Linear Finite-Difference Equation.- 1.3 Methods of Iteration.- 1.4 Nonlinear Finite-Difference Equations.- 1.5 Steady States and Their Stability.- 1.6 Cycles and Their Stability.- 1.7 Chaos.- 1.8 Quasiperiodicity.- 2 Boolean Networks and Cellular Automata.- 2.1 Elements and Networks.- 2.2 Boolean Variables, Functions, and Networks.- 2.3 Boolean Functions and Biochemistry.- 2.4 Random Boolean Networks.- 2.5 Cellular Automata.- 2.6 Advanced Topic: Evolution and Computation.- 3 Self-Similarity and Fractal Geometry.- 3.1 Describing a Tree.- 3.2 Fractals.- 3.3 Dimension.- 3.4 Statistical Self-Similarity.- 3.5 Fractals and Dynamics.- 4 One-Dimensional Differential Equations.- 4.1 Basic Definitions.- 4.2 Growth and Decay.- 4.3 Multiple Fixed Points.- 4.4 Geometrical Analysis of One-Dimensional Nonlinear Ordinary Differential Equations.- 4.5 Algebraic Analysis of Fixed Points.- 4.6 Differential Equations versus Finite-Difference Equations.- 4.7 Differential Equations with Inputs.- 4.8 Advanced Topic: Time Delays and Chaos.- 5 Two-Dimensional Differential Equations.- 5.1 The Harmonic Oscillator.- 5.2 Solutions, Trajectories, and Flows.- 5.3 The Two-Dimensional Linear Ordinary Differential Equation.- 5.4 Coupled First-Order Linear Equations.- 5.5 The Phase Plane.- 5.6 Local Stability Analysis of Two-Dimensional, Nonlinear Differential Equations.- 5.7 Limit Cycles and the van der Pol Oscillator.- 5.8 Finding Solutions to Nonlinear Differential Equations.- 5.9 Advanced Topic: Dynamics in Three or More Dimensions.- 5.10 Advanced Topic: Poincaré Index Theorem.- 6 Time-Series Analysis.- 6.1 Starting with Data.- 6.2 Dynamics, Measurements, and Noise.- 6.3 The Mean and Standard Deviation.- 6.4 Linear Correlations.- 6.5Power Spectrum Analysis.- 6.6 Nonlinear Dynamics and Data Analysis.- 6.7 Characterizing Chaos.- 6.8 Detecting Chaos and Nonlinearity.- 6.9 Algorithms and Answers.- Appendix A A Multi-Functional Appendix.- A.1 The Straight Line.- A.2 The Quadratic Function.- A.3 The Cubic and Higher-Order Polynomials.- A.4 The Exponential Function.- A.5 Sigmoidal Functions.- A.6 The Sine and Cosine Functions.- A.7 The Gaussian (or "Normal") Distribution.- A.8 The Ellipse.- A.9 The Hyperbola.- Exercises.- Appendix B A Note on Computer Notation.- Solutions to Selected Exercises. Review ANot only are many of the most recent topics included and simply explained, but the reader is also warned against difficulties in the practical implementation of the proposed methods of analysis and against common misinterpretations of some theoretical concepts. Because of its completeness and plain, but mathematically correct, style, this book is also an ideal starting point for researchers from various disciplines who are not familiar with mathematical concepts usually learned in the first two years of university study.A AMATHEMATICAL REVIEWS AI recommend this book strongly both to those who need to teach these topics and to those who want to learn about them, whether or not they are in the biosciences. In fact, I would strongly recommend this book to paleontologists, paleobiologists, paleoecologists, and geologists who are (finally) becoming interested in nonlinear dynamics, but are still afraid to ask.AAAMERICAN SCIENTIST A[The authors] have written a readily accessible introduction to nonlinear dynamicsAthe book presents the main concepts and applications of nonlinear dynamics at an elementary levelAInterspersed in the text are delightful short essays of a page or two eachACourses on nonlinear dynamics rarely present these topics at the level used in the bookAIt is written in a Auser friendlyA colloquial style and is a delight to readAno reader is likely to encounter a more accessible elementary introduction to nonlinear dynamics.AAPHYSICS TODAY??Not only are many of the most recent topics included and simply explained, but the reader is also warned against difficulties in the practical implementation of the proposed methods of analysis and against common misinterpretations of some theoretical concepts. Because of its completeness and plain, but mathematically correct, style, this book is also an ideal starting point for researchers from various disciplines who are not familiar with mathematical concepts usually learned in the first two years of university study.?? ??MATHEMATICAL REVIEWS ??I recommend this book strongly both to those who need to teach these topics and to those who want to learn about them, whether or not they are in the biosciences. In fact, I would strongly recommend this book to paleontologists, paleobiologists, paleoecologists, and geologists who are (finally) becoming interested in nonlinear dynamics, but are still afraid to ask.????AMERICAN SCIENTIST ??[The authors] have written a readily accessible introduction to nonlinear dynamics??the book presents the main concepts and applications of nonlinear dynamics at an elementary level??Interspersed in the text are delightful short essays of a page or two each??Courses on nonlinear dynamics rarely present these topics at the level used in the book??It is written in a ??user friendly?? colloquial style and is a delight to read??no reader is likely to encounter a more accessible elementary introduction to nonlinear dynamics.????PHYSICS TODAY Promotional Springer Book Archives Long Description Mathematics is playing an ever more important role in the physical and biological sciences, provoking a blurring of boundaries between scientific disciplines and a resurgence of interest in the modern as well as the classical techniques of applied mathematics. This renewal of interest, both in research and teaching, has led to the establishment of the series: Texts in Applied Mathematics ( TAM). The development of new courses is a natural consequence of a high level of excitement on the research frontier as newer techniques, such as numerical and symbolic computer systems, dynamical systems, and chaos, mix with and reinforce the traditional methods of applied mathematics. Thus, the purpose of this textbook series is to meet the current and future needs of these advances and encourage the teaching of new courses. TAM will publish textbooks suitable for use in advanced undergraduate and beginning graduate courses, and will complement the Applied Mathematical Sciences (AMS) series, which will focus on advanced textbooks and research level monographs. About the Authors Daniel Kaplan specializes in the analysis of data using techniques motivated by nonlinear dynamics. His primary interest is in the interpretation of irregular physiological rhythms, but the methods he has developed have been used in geo Details ISBN0387944400 Author Leon Glass Short Title UNDERSTANDING NONLINEAR DYNAMI Series Textbooks in Mathematical Sciences Language English ISBN-10 0387944400 ISBN-13 9780387944401 Media Book Format Paperback DEWEY 515.352 Imprint Springer-Verlag New York Inc. Place of Publication New York, NY Country of Publication United States Edition 1st Pages 420 DOI 10.1007/b54924;10.1007/978-1-4612-0823-5 AU Release Date 1997-12-19 NZ Release Date 1997-12-19 UK Release Date 1997-12-19 Publisher Springer-Verlag New York Inc. Edition Description 1st ed. 1995. Corr. 2nd printing 1997 Alternative 9780387944234 Illustrations XX, 420 p. Audience Undergraduate Year 1995 Publication Date 1995-03-24 US Release Date 1995-03-24 We've got this At The Nile, if you're looking for it, we've got it. 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ISBN-13: 9780387944401
Book Title: Understanding Nonlinear Dynamics
Item Height: 235 mm
Item Width: 155 mm
Author: Daniel Kaplan, Leon Glass
Publication Name: Understanding Nonlinear Dynamics
Format: Paperback
Language: English
Publisher: Springer-Verlag New York Inc.
Subject: Mathematics, Healthcare System
Publication Year: 1997
Type: Textbook
Item Weight: 1370 g
Number of Pages: 420 Pages