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Mathematical Modeling
A well-balanced survey of modeling methods with challenging cross-disciplinary problems and new examples
Mark Meerschaert (Author)
9780123869128, Elsevier Science
Hardback, published 7 March 2013
384 pages
22.9 x 15.1 x 2.6 cm, 0.73 kg
"This book distinguishes itself from comparable texts by its broad treatment of the field. It offers an extensive survey of mathematical modeling problems and techniques that is organized into three big sections corresponding to optimization, dynamics and probability models." --MAA Reviews, March 19, 2014
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.
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
Subject Areas: Mechanical engineering [TGB], Maths for engineers [TBJ], Technology: general issues [TB], Mathematical modelling [PBWH], Optimization [PBU]
