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Mathematical Modeling

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ISBN-10: 0123708575

ISBN-13: 9780123708571

Edition: 3rd 2007

Authors: Mark Meerschaert

List price: $104.00
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Description:

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…    
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Book details

List price: $104.00
Edition: 3rd
Copyright year: 2007
Publisher: Elsevier Science & Technology
Publication date: 8/14/2007
Binding: Hardcover
Pages: 352
Size: 5.98" wide x 9.02" long x 0.33" tall
Weight: 1.298
Language: English

Mark M. Meerschaert is Chairperson of the Department of Statistics and Probability at Michigan State University and Adjunct Professor in the Department of Physics at the University of Nevada, having previously worked in government and industry roles on a wide variety of modeling projects. Holding a doctorate in Mathematics from the University of Michigan, Professor Meerschaert's expertise spans the areas of probability, statistics, statistical physics, mathematical modeling, operations research, partial differential equations, and hydrology. In addition to his current appointments, he has taught at the University of Michigan, Albion College, and the University of Otago, New Zealand. His…    

Optimization Models
One-Variable Optimization
Multivariable Optimization
Computational Methods for Optimization
Dynamic Models
Introduction to Dynamic Models
Analysis of Dynamic Models
Simulation of Dynamic Models
Probability Models
Introduction to Probability Models
Stochastic Models
Simulation of Probability Models