Applied Mathematical Modeling

Applied Mathematical Modeling
Author :
Publisher : CRC Press
Total Pages : 472
Release :
ISBN-10 : 1420050044
ISBN-13 : 9781420050042
Rating : 4/5 (042 Downloads)

Book Synopsis Applied Mathematical Modeling by : Douglas R. Shier

Download or read book Applied Mathematical Modeling written by Douglas R. Shier and published by CRC Press. This book was released on 1999-11-11 with total page 472 pages. Available in PDF, EPUB and Kindle. Book excerpt: The practice of modeling is best learned by those armed with fundamental methodologies and exposed to a wide variety of modeling experience. Ideally, this experience could be obtained by working on actual modeling problems. But time constraints often make this difficult. Applied Mathematical Modeling provides a collection of models illustrating the power and richness of the mathematical sciences in supplying insight into the operation of important real-world systems. It fills a gap within modeling texts, focusing on applications across a broad range of disciplines. The first part of the book discusses the general components of the modeling process and highlights the potential of modeling in practice. These chapters discuss the general components of the modeling process, and the evolutionary nature of successful model building. The second part provides a rich compendium of case studies, each one complete with examples, exercises, and projects. In keeping with the multidimensional nature of the models presented, the chapters in the second part are listed in alphabetical order by the contributor's last name. Unlike most mathematical books, in which you must master the concepts of early chapters to prepare for subsequent material, you may start with any chapter. Begin with cryptology, if that catches your fancy, or go directly to bursty traffic if that is your cup of tea. Applied Mathematical Modeling serves as a handbook of in-depth case studies that span the mathematical sciences, building upon a modest mathematical background. Readers in other applied disciplines will benefit from seeing how selected mathematical modeling philosophies and techniques can be brought to bear on problems in their disciplines. The models address actual situations studied in chemistry, physics, demography, economics, civil engineering, environmental engineering, industrial engineering, telecommunications, and other areas.


Applied Mathematical Modeling Related Books

Applied Mathematical Modeling
Language: en
Pages: 472
Authors: Douglas R. Shier
Categories: Mathematics
Type: BOOK - Published: 1999-11-11 - Publisher: CRC Press

GET EBOOK

The practice of modeling is best learned by those armed with fundamental methodologies and exposed to a wide variety of modeling experience. Ideally, this exper
RFID in Logistics
Language: en
Pages: 522
Authors: Erick C. Jones
Categories: Business & Economics
Type: BOOK - Published: 2007-12-03 - Publisher: CRC Press

GET EBOOK

Radio Frequency Identification (RFID) tagging is now mandated by the department of defense and many of the world's largest retailers including Wal-Mart. In orde
Applied Mathematical Modelling of Engineering Problems
Language: en
Pages: 312
Authors: Natali Hritonenko
Categories: Mathematics
Type: BOOK - Published: 2003-06-30 - Publisher: Springer Science & Business Media

GET EBOOK

The subject of the book is the "know-how" of applied mathematical modelling: how to construct specific models and adjust them to a new engineering environment o
Applied Mathematical Models in Human Physiology
Language: en
Pages: 311
Authors: Johnny T. Ottesen
Categories: Medical
Type: BOOK - Published: 2004-01-01 - Publisher: SIAM

GET EBOOK

This book introduces mathematicians to real applications from physiology. Using mathematics to analyze physiological systems, the authors focus on models reflec
Mathematical Models in the Applied Sciences
Language: en
Pages: 440
Authors: A. C. Fowler
Categories: Mathematics
Type: BOOK - Published: 1997-11-28 - Publisher: Cambridge University Press

GET EBOOK

Presents a thorough grounding in the techniques of mathematical modelling, and proceeds to explore a range of classical and continuum models from an array of di