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Mathematical Modeling by Meerschaert, Mark

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Item specifics

Condition
Like New: A book in excellent condition. Cover is shiny and undamaged, and the dust jacket is ...
Subject
Mathematics
ISBN
9780123869128
EAN
9780123869128

About this product

Product Identifiers

Publisher
Elsevier Science & Technology
ISBN-10
0123869129
ISBN-13
9780123869128
eBay Product ID (ePID)
143590047

Product Key Features

Number of Pages
384 Pages
Publication Name
Mathematical Modeling
Language
English
Subject
Mechanical, General, Applied, Optimization
Publication Year
2013
Type
Textbook
Author
Mark Meerschaert
Subject Area
Mathematics, Technology & Engineering
Format
Hardcover

Dimensions

Item Length
9 in
Item Width
6 in

Additional Product Features

Edition Number
4
Intended Audience
College Audience
LCCN
2012-037454
Dewey Edition
23
Reviews
"Meerschaert presents a general introduction to mathematical modeling for advanced undergraduate or beginning graduate students in mathematics and closely related fields. He does.challenge students to use all the mathematics they have learned as he covers modeling problems in optimization, dynamical systems, and stochastic processes."-- Reference & Research Book News, October 2013 "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, "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, "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
Illustrated
Yes
Dewey Decimal
511/.8
Table Of Content
I. OPTIMIZATION MODELS 1. One-Variable Optimization2. Multivariable Optimization3. Computational Methods for OptimizationII. DYNAMIC MODELS 4. Introduction to Dynamic Models5. Analysis of Dynamic Models6. Simulation of Dynamic ModelsIII. PROBABILITY MODELS 7. Introduction to Probability Models8. Stochastic Models9. Simulation of Probability Models
Synopsis
The new edition of Mathematical Modeling , the survey text of choice for mathematical modeling courses, adds ample instructor support and online delivery for solutions manuals and software ancillaries. From genetic engineering to hurricane prediction, mathematical models guide much of the decision making in our society. If the assumptions and methods underlying the modeling are flawed, the outcome can be disastrously poor. With mathematical modeling growing rapidly in so many scientific and technical disciplines, Mathematical Modeling, Fourth Edition provides a rigorous treatment of the subject. The book explores a range of approaches including optimization models, dynamic models and probability models., The new edition of Mathematical Modeling , the survey text of choice for mathematical modeling courses, adds ample instructor support and online delivery for solutions manuals and software ancillaries. From genetic engineering to hurricane prediction, mathematical models guide much of the decision making in our society. If the assumptions and methods underlying the modeling are flawed, the outcome can be disastrously poor. With mathematical modeling growing rapidly in so many scientific and technical disciplines, Mathematical Modeling, Fourth Edition provides a rigorous treatment of the subject. The book explores a range of approaches including optimization models, dynamic models and probability models. Offers increased support for instructors, including MATLAB material as well as other on-line resources Features new sections on time series analysis and diffusion models Provides additional problems with international focus such as whale and dolphin populations, plus updated optimization problems
LC Classification Number
QA401.M48 2013

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