Principles of Mathematical Modelling: Ideas, Methods, Examples

Author:   Alexander A. Samarskii (Russian Academy of Sciences, Moscow, Russia) ,  Alexander P. Mikhailov (Russian Academy of Sciences, Russia) ,  Alexander P. Mikhailov (Russian Academy of Sciences, Russia)
Publisher:   Taylor & Francis Ltd
Volume:   3
ISBN:  

9780415272810


Pages:   360
Publication Date:   20 December 2001
Format:   Paperback
Availability:   In Print   Availability explained
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Principles of Mathematical Modelling: Ideas, Methods, Examples


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Author:   Alexander A. Samarskii (Russian Academy of Sciences, Moscow, Russia) ,  Alexander P. Mikhailov (Russian Academy of Sciences, Russia) ,  Alexander P. Mikhailov (Russian Academy of Sciences, Russia)
Publisher:   Taylor & Francis Ltd
Imprint:   CRC Press
Volume:   3
Dimensions:   Width: 17.40cm , Height: 2.00cm , Length: 24.60cm
Weight:   0.670kg
ISBN:  

9780415272810


ISBN 10:   0415272815
Pages:   360
Publication Date:   20 December 2001
Audience:   Professional and scholarly ,  Professional and scholarly ,  Professional & Vocational ,  Postgraduate, Research & Scholarly
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

Elementary Mathematical Models. Examples of Models Following from the Fundamental Laws of Nature. Variational Principles and Mathematical Models. Example of the Hierarchy of Models. The Universality of Mathematical Models. Several Models of Elementary Nonlinear Objects. Derivation of Models from the Fundamental Laws of Nature. Conservation of the Mass of Substance. Conservation of Energy. Conservation of the Number of Particles. Joint Application of Several Fundamental Laws. Models Deduced from Variational Principles, Hierarchies of Models. Equations of Motion, Variational Principles and Conservation Laws in Mechanics. Models of Some Mechanical Systems. The Boltzmann Equation and its Derivative Equations. Models of Some Hardly Formalizable Objects. Universality of Mathematical Models. Some Models of Financial and Economic Processes. Some Rivalry Models. Dynamics of Distribution of Power in Hierarchy. Application of Similarity Methods. The Maximum Principle and Comparison Theorems. An Averaging Method. On Transition to Discrete Models. Mathematical Modeling of Complex Objects. Problems of Technology and Ecology. Fundamental Problems of Natural Science. Computing Experiment With Models of Hardly Formalizable Objects. References. Index.

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Professor Alexander A. Samarskii is Director of the Institute of Mathematical Modelling at the Russian Academy of Science and has been the leader of the Russian National Program for Mathematical Modelling in Science and Technology since 1985. He is a world-renowned researcher who has obtained outstanding results and contributed grately to the development of these subjects. Professor Alexander P Mikhailov is a Head of Department at the Institute of Mathematical Modelling at the Russian Academy of Science and is a Professor of M V Lomonosov Moscow State University. His research interests include mathematical physics, the theory of nonlinear phenomena, mathematical modelling of dissipative structures and mathematical modelling of socio-political processes.

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