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Mathematical Modeling, Third Edition
 
 
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Mathematical Modeling, Third Edition [Hardcover]

Mark M. Meerschaert (Author)
4.8 out of 5 stars  See all reviews (5 customer reviews)

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Book Description

0123708575 978-0123708571 July 2, 2007 3
Mathematical Modeling 3e is a general introduction to an increasingly crucial topic for today's mathematicians. Unlike textbooks focused on one kind of mathematical model, this book covers the broad spectrum of modeling problems, from optimization to dynamical systems to stochastic processes. Mathematical modeling is the link between mathematics and the rest of the world. Meerschaert shows how to refine a question, phrasing it in precise mathematical terms. Then he encourages students to reverse the process, translating the mathematical solution back into a comprehensible, useful answer to the original question. This textbook mirrors the process professionals must follow in solving complex problems.

Each chapter in this book is followed by a set of challenging exercises. These exercises require significant effort on the part of the student, as well as a certain amount of creativity. Meerschaert did not invent the problems in this book--they are real problems, not designed to illustrate the use of any particular mathematical technique. Meerschaert's emphasis on principles and general techniques offers students the mathematical background they need to model problems in a wide range of disciplines.

This new edition will be accompanied by expanded and enhanced on-line support for instructors. MATLAB material will be added to complement existing support for Maple, Mathematica, and other software packages, and the solutions manual will be provided both in hard copy and on the web.

* Increased support for instructors, including MATLAB material as well as other on-line resources
* New sections on time series analysis and diffusion models
* Additional problems with international focus such as whale and dolphin populations, plus updated optimization problems

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Mathematical Modeling, Third Edition + An Introduction to Mathematical Modeling (Dover Books on Computer Science) + The Art of Modeling Dynamic Systems: Forecasting for Chaos, Randomness and Determinism (Dover Books on Computer Science)
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Editorial Reviews

Review

"I think this is the best book in its genre. I haven't been tempted to use another. The mathematics in it is interesting, useful, and still within reach of typical undergraduates."--John E. Doner, Department of Mathematics, University of California--Santa Barbara

From the Back Cover

The Second Edition of this popular text offers a unique approach to mathematical modeling. Meerschaert offers an inviting introduction and applies a problem-solving methodology in the three major areas of optimization, dynamical systems, and stochastic processes.
This edition takes a practical approach toward the solution of a variety of real problems including docking two vehicles in space, the growth rate of an infectious disease, and wildlife management. Rigorous mathematical techniques required for a reasonable solution are introduced as necessary.
Key Features Include:
* A large collection of real-world problems
* An integration of computer outputs from the latest versions of Mathematica, Maple, Lindo, Minitab
* A systematic five-step modeling method
* Applies calculus, differential equations, linear algebra, and probability
New To This Edition:
* Material on discrete modeling, including integer programming
* Extended treatment on chaos and fractals
* Additional material on linear programming, including the use of spreadsheet tools
* More applications in probability and statistics
Reviewer Comments:
"The author is very clear and careful in his presentation. The exercises are excellent. The examples are one of the strongest features. Honestly, I have not considered using any other text for my course."
--Blaise Morton, University of Minnesota
"It is the best modeling book for this audience that I have found. I find that Meerschaert's idea of an undergraduate course in modeling is very close to how I think such a course should run."
--W. George Cochran, Louisiana State University --This text refers to an out of print or unavailable edition of this title.

Product Details

  • Hardcover: 352 pages
  • Publisher: Academic Press; 3 edition (July 2, 2007)
  • Language: English
  • ISBN-10: 0123708575
  • ISBN-13: 978-0123708571
  • Product Dimensions: 8.9 x 6 x 0.9 inches
  • Shipping Weight: 1.2 pounds (View shipping rates and policies)
  • Average Customer Review: 4.8 out of 5 stars  See all reviews (5 customer reviews)
  • Amazon Best Sellers Rank: #476,719 in Books (See Top 100 in Books)

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Average Customer Review
4.8 out of 5 stars (5 customer reviews)
 
 
 
 
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18 of 18 people found the following review helpful:
5.0 out of 5 stars If you teach, or learn modeling on your own, try this one, June 10, 2000
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In this book you'll find, fully explained, subjects that are only mentioned briefly in other texts on modeling. I liked the chapter (chapter five) on Eigenvalue Methods for the analysis of dynamic models. I wished I had it four years ago when I was taking a course on modeling at the University of Washington. It really shows you how to do it. The same can be said about chapters 2 and 3 on optimization and chapters 7 and 8 on probability models (I liked specially the one on Markov Chains). I'm using it for teaching those techniques. The pseuodocode it includes is particularly helpful when you take the methods presented in the book to the computer. However, I would not recomend it to be used on its own as the only text in a course. It is a nice complement to texts like Gurney and Nisbet's Ecological Dynamics that presents many particular models in detail, while Meerschaert makes enphasis on general techniques. It's also a step up the ladder from "abc-of-modeling-techniques" texts like Vandermeer's Elementary Mathemathical Ecology. With 20/20 hindsight, if I had to learn modeling from the begining (or, if I had to teach it as I'm doing now) I would choose these titles as a step-by-step system, coupled with some Math packages like MathCad or Matlab.
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2 of 3 people found the following review helpful:
4.0 out of 5 stars This is a really good book for reviewing mathematical concepts., February 9, 2008
This review is from: Mathematical Modeling, Third Edition (Hardcover)
Like the title says, this book is great for reviewing mathematical concepts. Great examples of how to do lagrange multipliers and other basics of mathematical concepts and makes it interesting, this book helps you apply what you have learned in your math classes to mathematical models such as growth incentives and revenue.
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2 of 3 people found the following review helpful:
5.0 out of 5 stars Great book for beginners, March 24, 2007
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This a good book for beginners who want to start Math Models. This book, starts with actual problem with numbers and so is not abstract. It helps my students understand the concepts better
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First Sentence:
We begin our discussion of optimization models at a place where most students will already have some practical experience. Read the first page
Key Phrases - Capitalized Phrases (CAPs): (learn more)
Monte Carlo, New York, Further Reading, Graph of Fin Whales, Graph of Voltage, End End Output, Academic Press, Reconsider Exercise, Continuation of Exercise, Convection Rate, Graph of Blue Divisions, Graph of Net Profit, Nonlinear Weight Model, Graph of Blue Whales, Graph of Temperature Differential, Repeat Exercise, United States, Calculation of the Sensitivity, Cambridge University Press, Numerical Recipes, Constraints Using the Computer Algebra System, Englewood Cliffs, Fit Stdev, Graph of Best Time, Graph of the Eigenvalues
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