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Principles of mathematical modeling : ideas, methods, examples /

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This graduate textbook presents several approaches to the construction of elementary mathematical models derived from the laws of nature, variational principles, analogies, and hierarchical chains. Originally published in Russian in 1997 as Matematicheskoe modelirovanie: idei, metoid, primeri by the...

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Bibliographic Details
Main Author: Samarskiĭ, A. A. (Aleksandr Andreevich)
Corporate Author: Taylor & Francis
Other Authors: Mikhaĭlov, A. P. (Aleksandr Petrovich), 1947-
Format: eBook
Language:English
Language Notes:Translated from the Russian.
Published: London ; New York : Taylor and Francis, 2002.
Series:Numerical insights ; v. 3.
Subjects:
Mathematical models.
Modèles mathématiques.
mathematical models.
Electronic books.
Online Access:Connect to the full text of this electronic book
Table of Contents:
  • I. The Elementary Mathematical Models and Basic Concepts of Mathematical Modeling
  • 1. Elementary Mathematical Models
  • 2. Examples of Models Following from the Fundamental Laws of Nature
  • 3. Variational Principles and Mathematical Models
  • 4. Examples of the Hierarchy of Models
  • 5. The Universality of Mathematical Models
  • 6. Several Models of Elementary Nonlinear Objects
  • II. Derivation of Models from the Fundamental Laws of Nature
  • 1. Conservation of the Mass of Substance
  • 2. Conservation of Energy
  • 3. Conservation of the Number of Particles
  • 4. Joint Application of Several Fundamental Laws
  • III. Models Deduced from Variational Principles, Hierarchies of Models
  • 1. Equations of Motion, Variational Principles and Conservation Laws in Mechanics
  • 2. Models of Some Mechanical Systems
  • 3. The Boltzmann Equation and its Derivative Equations
  • IV. Models of Some Hardly Formalizable Objects
  • 1. Universality of Mathematical Models
  • 2. Some Models of Financial and Economic Processes
  • 3. Some Rivalry Models
  • 4. Dynamics of Distribution of Power in Hierarchy
  • V. Study of Mathematical Models
  • 1. Application of Similarity Methods
  • 2. The Maximum Principle and Comparison Theorems
  • 3. An Averaging Method
  • 4. On Transition to Discrete Models
  • VI. Mathematical Modeling of Complex Objects
  • 1. Problems of Technology and Ecology
  • 2. Fundamental Problems of Natural Science
  • 3. Computing Experiment with Models of Hardly Formalizable Objects.