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Explorations of Mathematical Models in Biology with Maple [Kõva köide]

  • Formaat: Hardback, 304 pages, kõrgus x laius x paksus: 236x163x23 mm, kaal: 635 g, Graphs: 50 B&W, 0 Color
  • Ilmumisaeg: 23-Dec-2014
  • Kirjastus: John Wiley & Sons Inc
  • ISBN-10: 111803211X
  • ISBN-13: 9781118032114
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  • Formaat: Hardback, 304 pages, kõrgus x laius x paksus: 236x163x23 mm, kaal: 635 g, Graphs: 50 B&W, 0 Color
  • Ilmumisaeg: 23-Dec-2014
  • Kirjastus: John Wiley & Sons Inc
  • ISBN-10: 111803211X
  • ISBN-13: 9781118032114
Teised raamatud teemal:
Algorithms and models are increasingly being used in biology, ecology and environmental science research; Maple is a user-friendly computing language that makes such modeling easy. This guide offers example based explanations of how to use Maple to its fullest extent to build and analyze models. Examples include population dynamics, genetics, drug administration, interacting species, and the spread of contagious diseases. Mathematical topics covered include Markov chains, matrix algebra and linear and nonlinear first-order difference equations. This book is simple enough for undergraduates in a mathematical modeling course but detailed enough to serve as a resource for biologists, ecologists and mathematicians. Annotation ©2015 Ringgold, Inc., Portland, OR (protoview.com)

Explore and analyze the solutions of mathematical models from diverse disciplines

As biology increasingly depends on data, algorithms, and models, it has become necessary to use a computing language, such as the user-friendly MapleTM, to focus more on building and analyzing models as opposed to configuring tedious calculations. Explorations of Mathematical Models in Biology with Maple provides an introduction to model creation using Maple, followed by the translation, analysis, interpretation, and observation of the models.

With an integrated and interdisciplinary approach that embeds mathematical modeling into biological applications, the book illustrates numerous applications of mathematical techniques within biology, ecology, and environmental sciences. Featuring a quantitative, computational, and mathematical approach, the book includes:

  • Examples of real-world applications, such as population dynamics, genetics, drug administration, interacting species, and the spread of contagious diseases, to showcase the relevancy and wide applicability of abstract mathematical techniques
  • Discussion of various mathematical concepts, such as Markov chains, matrix algebra, eigenvalues, eigenvectors, first-order linear difference equations, and nonlinear first-order difference equations
  • Coverage of difference equations to model a wide range of real-life discrete time situations in diverse areas as well as discussions on matrices to model linear problems
  • Solutions to selected exercises and additional Maple codes

Explorations of Mathematical Models in Biology with Maple
is an ideal textbook for undergraduate courses in mathematical models in biology, theoretical ecology, bioeconomics, forensic science, applied mathematics, and environmental science. The book is also an excellent reference for biologists, ecologists, mathematicians, biomathematicians, and environmental and resource economists.
Preface vii
Acknowledgments xi
1 Overview of Discrete Dynamical Modeling and Maple ™
1(36)
1.1 Introduction to Modeling and Difference Equations
1(7)
1.2 The Modeling Process
8(4)
1.3 Getting Started with Maple
12(25)
2 Modeling with First-Order Difference Equations
37(63)
2.1 Modeling with First-Order Linear Homogeneous Difference Equations with Constant Coefficients
37(16)
2.2 Modeling with Nonhomogeneous First-Order Linear Difference Equations
53(19)
2.3 Modeling with Nonlinear Difference Equations: Logistic Growth Models
72(17)
2.4 Logistic Equations and Chaos
89(11)
3 Modeling with Matrices
100(109)
3.1 Systems of Linear Equations Having Unique Solutions
100(14)
3.2 The Gauss--Jordan Elimination Method with Models
114(22)
3.3 Introduction to Matrices
136(28)
3.4 Determinants and Systems of Linear Equations
164(12)
3.5 Eigenvalues and Eigenvectors
176(23)
3.6 Eigenvalues and Stability of Linear Models
199(10)
4 Modeling with Systems of Linear Difference Equations
209(49)
4.1 Modeling with Markov Chains
209(21)
4.2 Age-Structured Population Models
230(10)
4.3 Modeling with Second-Order Linear Difference Equations
240(18)
5 Modeling with Nonlinear Systems of Difference Equations
258(28)
5.1 Modeling of Interacting Species
258(14)
5.2 The SIR Model of Infectious Diseases
272(8)
5.3 Modeling with Second-Order Nonlinear Difference Equations
280(6)
Bibliography 286(2)
Index 288
MAZEN SHAHIN, PhD, is Professor in the Department of Mathematical Sciences at Delaware State University. He has extensive background and experience in designing interdisciplinary instructional materials that integrate mathematics and other disciplines, such as biology, ecology, and finance. Dr. Shahins research interests include boundary value problems, dynamical systems, impulsive differential equations, and mathematics education. Dr. Shahin is the author of Explorations of Mathematical Models in Biology with MATLAB®, also published by Wiley.