Applied Mathematical Modelling of Engineering Problems (Applied Optimization) Book + PRICE WATCH * Amazon pricing is not included in price watch

Applied Mathematical Modelling of Engineering Problems (Applied Optimization) Book

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 or more precise realistic assumptions; how to analyze models for the purpose of investigating real life phenomena; and how the models can extend our knowledge about a specific engineering process. Two major sources of the book are the stock of classic models and the authors' wide experience in the field. The book provides a theoretical background to guide the development of practical models and their investigation. It considers general modelling techniques explains basic underlying physical laws and shows how to transform them into a set of mathematical equations. The emphasis is placed on common features of the modelling process in various applications as well as on complications and generalizations of models. The book covers a variety of applications: mechanical, acoustical, physical and electrical, water transportation and contamination processes; bioengineering and population control; production systems and technical equipment renovation. Mathematical tools include partial and ordinary differential equations, difference and integral equations, the calculus of variations, optimal control, bifurcation methods, and related subjects. Audience: The book may be used as a professional reference for mathematicians, engineers, applied of industrial scientists, and advanced students in mathematics, science or engineering. It provides excellent material for upper-level undergraduate and graduate courses in mathematical modelling.Read More

from£135.31 | RRP: £140.00
* Excludes Voucher Code Discount Also available Used from £8.59
  • 1402074840
  • 9781402074844
  • N.V. Hritonenko, Yuri P. Yatsenko
  • 30 June 2003
  • Springer
  • Hardcover (Book)
  • 308
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