Mathematical Modeling
Autor Mark Meerschaerten Limba Engleză Hardback – 6 mar 2013
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
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Specificații
ISBN-13: 9780123869128
ISBN-10: 0123869129
Pagini: 384
Ilustrații: Illustrated
Dimensiuni: 152 x 229 x 23 mm
Greutate: 0.73 kg
Ediția:Revised
Editura: ELSEVIER SCIENCE
ISBN-10: 0123869129
Pagini: 384
Ilustrații: Illustrated
Dimensiuni: 152 x 229 x 23 mm
Greutate: 0.73 kg
Ediția:Revised
Editura: ELSEVIER SCIENCE
Public țintă
Advanced undergraduate or beginning graduate students in mathematics and closely related fields. Formal prerequisites consist of the usual freshman-sophomore sequence in mathematics, including one-variable calculus, multivariable calculus, linear algebra, and differential equations. Prior exposure to computing and probability and statistics is useful, but is not required.Cuprins
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
Recenzii
"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