Advanced undergraduates and graduate students of electrical, chemical, mechanical, and environmental engineering will appreciate this text for a course in systems identification. In addition to the theoretical basis for mathematical modeling, it covers a variety of identification algorithms and their applications. Numerical examples show how to apply modeling theories. 1986 edition. Reprint of the Academic Press, London and New York, 1986 edition.
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Concepts of Mathematical Modeling by Walter J. Meyer This text features a variety of applications, and examinations of classic models. Each section is preceded by an abstract and statement of prerequisites. Includes exercises. 1984 edition.
An Introduction to Mathematical Modeling by Edward A. Bender Accessible text features over 100 reality-based examples pulled from the science, engineering and operations research fields. Prerequisites: ordinary differential equations, continuous probability. Numerous references. Includes 27 black-and-white figures. 1978 edition.
Mathematical Modelling Techniques by Rutherford Aris Highly useful volume discusses the types of models, how to formulate and manipulate them for best results. Numerous examples.
Applied Partial Differential Equations by Paul DuChateau, David Zachmann Book focuses mainly on boundary-value and initial-boundary-value problems on spatially bounded and on unbounded domains; integral transforms; uniqueness and continuous dependence on data, first-order equations, and more. Numerous exercises included.
Mathematical Methods for Physicists and Engineers: Second Corrected Edition by Royal Eugene Collins Practical text focuses on fundamental applied math needed to deal with physics and engineering problems: elementary vector calculus, special functions of mathematical physics, calculus of variations, much more. 1968 edition.
Applied Probability Models with Optimization Applications by Sheldon M. Ross Concise advanced-level introduction to stochastic processes that arise in applied probability. Poisson process, renewal theory, Markov chains, Brownian motion, much more. Problems. References. Bibliography. 1970 edition.
