Principles of Mathematical Modelling: Ideas, Methods, Examples (Numerical Insights)

principles of mathematical modelling: ideas, methods, examples (numerical insights)

more information about Principles of Mathematical Modelling: Ideas, Methods, Examples (Numerical Insights)

Principles of Mathematical Modelling: Ideas, Methods, Examples (Numerical Insights)

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Book Description

Mathematical modeling is becoming increasingly versatile and multi-disciplinary. This text demonstrates the broadness of this field as the authors consider the principles of model construction and use common approaches to build models from a range of subject areas. The book reflects the interests and experiences of the authors, but it explores mathematical modeling across a wide range of applications, from mechanics to social science. A general approach is adopted, where ideas and examples are favored over rigorous mathematical procedures. This insightful book will be of interest to specialists, teachers, and students across a wide range of disciplines..

Book Info
Demonstrates the versatility of the increasingly multi-disciplinary field of mathematical modeling. Insightful book will be of interest to specialists, teachers and students of this fascinating discipline.

Principles of Mathematical Modelling: Ideas, Methods, Examples (Numerical Insights)

Principles of Mathematical Modelling: Ideas, Methods, Examples (Numerical Insights),Alexander A. Samarskii,CRC,0415272807,General,Mathematical Analysis,Mathematical models,Mathematics,Physics,Science/Mathematics,Mathematics / General

Books Info:

  1. Probabilistic Modelling
  2. Process Modelling and Model Analysis (Process Systems Engineering)
  3. Progress in Theoretical and Computational Fluid Mechanics: Winter School, Paseky, 1993
  4. Qualitative Theory of Dynamical Systems (Pure and Applied Mathematics (Marcel Dekker))
  5. Real and Complex Singularities (Lecture Notes in Pure and Applied Mathematics)
  6. Renormalization Methods : Critical Phenomena, Chaos, Fractal Structures
  7. Rings, Modules, Algebras, and Abelian Groups (Lecture Notes in Pure and Applied Mathematics)
  8. Ring Theory and Algebraic Geometry (Lecture Notes in Pure and Applied Mathematics)
  9. Scientific Computing with Mathematica : Mathematical Problems for Ordinary Differential Equations (Modeling and Simulation in Science, Engineering and Technology)
  10. Self-Similarity and Beyond: Exact Solutions of Nonlinear Problems

Books Info

Books Info

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