Mathematical Modeling - Rilegato

Meerschaert, Mark M.

Rilegato

ISBN 10: 0124876528 ISBN 13: 9780124876521

Casa editrice: Academic Pr, 1998

Riassunto

This iteration is updated by a new section on discrete optimization in conjunction with an introduction to integer programming; material on chaos and fractals; and output from the latest versions of the MAPLE, MATHEMATICA, and LINDO computer systems. Meerschaert (mathematics, U. of Nevada, Reno) provides introductory coverage of optimization, dynamic, and probability models. Chapters include reality-based application exercises (e.g., on wildlife management and infection growth rates) and further reading. An instructor's manual is available. No date is given for the first edition. Annotation c. by Book News, Inc., Portland, Or.

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Recensione

"The author is very clear and careful in his presentation. The exercises are excellent. The examples are one of the strongest features. Honestly, I have not considered using any other text for my course."
--Blaise Morton, University of Minnesota
"It is the best modeling book for this audience that I have found. I find that Meerschaert's idea of an undergraduate course in modeling is very close to how I think such a course should run."
--W. George Cochran, Louisiana State University

L'autore

Mark M. Meerschaert is Chairperson of the Department of Statistics and Probability at Michigan State University and an Adjunct Professor in the Department of Physics at the University of Nevada. Professor Meerschaert has professional experience in the areas of probability, statistics, statistical physics, mathematical modeling, operations research, partial differential equations, ground water and surface water hydrology. He started his professional career in 1979 as a systems analyst at Vector Research, Inc. of Ann Arbor and Washington D.C., where he worked on a wide variety of modeling projects for government and industry. Meerschaert earned his doctorate in Mathematics from the University of Michigan in 1984. He has taught at the University of Michigan, Albion College, Michigan State University, the University of Nevada in Reno, and the University of Otago in Dunedin, New Zealand. His current research interests include limit theorems and parameter estimation for infinite variance probability models, heavy tail models in finance, modeling river flows with heavy tails and periodic covariance structure, anomalous diffusion, continuous time random walks, fractional derivatives and fractional partial differential equations, and ground water flow and transport. For more details, see his personal web page http://www.stt.msu.edu/~mcubed

Dettagli dell'edizione

• Editore: Academic Pr
• Data di pubblicazione: 1998
• Lingua: Inglese
• ISBN 10: 0124876528
• ISBN 13: 9780124876521
• Rilegatura: Copertina rigida
• Numero di pagine: 351
• Contatto del produttore: non disponibile
• Persona responsabile: non disponibile