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Applied Mathematical Modelling of Engineering Problems

✍ Scribed by Natali Hritonenko, Yuri Yatsenko (auth.)


Publisher
Springer US
Year
2003
Tongue
English
Leaves
307
Series
Applied Optimization 81
Edition
1
Category
Library

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✦ Synopsis


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.

✦ Table of Contents


Front Matter....Pages i-xxi
Some Basic Models Of Physical Systems....Pages 1-28
Models Of Continuum Mechanical Systems....Pages 29-84
Variational Models and Structural Stability....Pages 85-104
Integral Models Of Physical Systems....Pages 105-138
Modelling in Bioengineering....Pages 139-182
Modelling Of Technological Renovation In Production Systems....Pages 183-240
Appendix....Pages 241-259
Back Matter....Pages 261-286

✦ Subjects


Mathematical Modeling and Industrial Mathematics; Calculus of Variations and Optimal Control; Optimization; Systems Theory, Control


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