An Introduction to Mathematical Modeling: A Course in Mechanics [NOOK Book]

Overview

A modern approach to mathematical modeling, featuring unique applications from the field of mechanics

An Introduction to Mathematical Modeling: A Course in Mechanics is designed to survey the mathematical models that form the foundations of modern science and incorporates examples that illustrate how the most successful models arise from basic principles in modern and classical mathematical physics. Written by a world authority on mathematical theory and computational mechanics,...

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An Introduction to Mathematical Modeling: A Course in Mechanics

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Overview

A modern approach to mathematical modeling, featuring unique applications from the field of mechanics

An Introduction to Mathematical Modeling: A Course in Mechanics is designed to survey the mathematical models that form the foundations of modern science and incorporates examples that illustrate how the most successful models arise from basic principles in modern and classical mathematical physics. Written by a world authority on mathematical theory and computational mechanics, the book presents an account of continuum mechanics, electromagnetic field theory, quantum mechanics, and statistical mechanics for readers with varied backgrounds in engineering, computer science, mathematics, and physics.

The author streamlines a comprehensive understanding of the topic in three clearly organized sections:

  • Nonlinear Continuum Mechanics introduces kinematics as well as force and stress in deformable bodies; mass and momentum; balance of linear and angular momentum; conservation of energy; and constitutive equations

  • Electromagnetic Field Theory and Quantum Mechanics contains a brief account of electromagnetic wave theory and Maxwell's equations as well as an introductory account of quantum mechanics with related topics including ab initio methods and Spin and Pauli's principles

  • Statistical Mechanics presents an introduction to statistical mechanics of systems in thermodynamic equilibrium as well as continuum mechanics, quantum mechanics, and molecular dynamics

Each part of the book concludes with exercise sets that allow readers to test their understanding of the presented material. Key theorems and fundamental equations are highlighted throughout, and an extensive bibliography outlines resources for further study.

Extensively class-tested to ensure an accessible presentation, An Introduction to Mathematical Modeling is an excellent book for courses on introductory mathematical modeling and statistical mechanics at the upper-undergraduate and graduate levels. The book also serves as a valuable reference for professionals working in the areas of modeling and simulation, physics, and computational engineering.

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Editorial Reviews

From the Publisher
“The book also serves as a valuable reference for professionals working in the areas of modeling and simulation, physics, and computational engineering.” (Zentralblatt MATH, 2012)
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Product Details

  • ISBN-13: 9781118105740
  • Publisher: Wiley
  • Publication date: 2/23/2012
  • Series: Wiley Series in Computational Mechanics , #40
  • Sold by: Barnes & Noble
  • Format: eBook
  • Edition number: 1
  • Pages: 352
  • File size: 8 MB

Table of Contents

Preface.

I. Nonlinear Continuum Mechanics.

1. Kinematics of Deformable Bodies.

2. Mass and Momentum.

3. Force and Stress in Deformable Bodies.

4. The Principles of Balance of Linear and Angular Momentum.

5. The Principle of Conservation of Energy.

6. Thermodynamics of Continua and the Second Law.

7. Constitutive Equations.

8. Examples and Applications.

II. Electromagnetic Field Theory and Quantum Mechanics.

9. Electromagnetic Waves.

10. Introduction to Quantum Mechanics.

11. Dynamical Variables and Observables in Quantum Mechanics: The Mathematical Formalism.

12. Applications: The Harmonic Oscillator and the Hydrogen Atom.

13. Spin and Pauli’s Principle.

14. Atomic and Molecular Structure.

15. Ab Initio Methods: Approximate Methods and Density Functional Theory.

III. Statistical Mechanics.

16. Basic Concepts: Ensembles, Distribution Functions and Averages.

17. Statistical Mechanics Basis of Classical Thermodynamics.

Exercises.

References. 

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