DescriptionA complete introduction to the multidisciplinary applications of mathematical methods
In order to work with varying levels of engineering and physics research, it is important to have a firm understanding of key mathematical concepts such as advanced calculus, differential equations, complex analysis, and introductory mathematical physics. Essentials of Mathematical Methods in Science and Engineering provides a comprehensive introduction to these methods under one cover, outlining basic mathematical skills while also encouraging students and practitioners to develop new, interdisciplinary approaches to their research.
The book begins with core topics from various branches of mathematics such as limits, integrals, and inverse functions. Subsequent chapters delve into the analytical tools that are commonly used in scientific and engineering studies, including vector analysis, generalized coordinates, determinants and matrices, linear algebra, complex numbers, complex analysis, and Fourier series. The author provides an extensive chapter on probability theory with applications to statistical mechanics and thermodynamics that complements the following chapter on information theory, which contains coverage of Shannon's theory, decision theory, game theory, and quantum information theory. A comprehensive list of references facilitates further exploration of these topics.
Throughout the book, numerous examples and exercises reinforce the presented concepts and techniques. In addition, the book is in a modular format, so each chapter covers its subject thoroughly and can be read independently. This structure affords flexibility for individualizing courses and teaching.
Providing a solid foundation and overview of the various mathematical methods and applications in multidisciplinary research, Essentials of Mathematical Methods in Science and Engineering is an excellent text for courses in physics, science, mathematics, and engineering at the upper-undergraduate and graduate levels. It also serves as a useful reference for scientists and engineers who would like a practical review of mathematical methods.
1. Functional Analysis.
2. Vector Analysis.
3. Generalized Coordinates and Tensors.
4. Determinants and Matrices.
5. Linear Algebra.
6. Sequences and Series.
7. Complex Numbers and Functions.
8. Complex Analysis.
9. Ordinary Differential Equations.
10. Second-Order Differential Equations and Special Functions.
11. Bessel's Equation and Bessel Functions.
12. Partial Differential Equations and Separation Variables.
13. Fourier Series.
14. Fourier and Laplace Transforms.
15. Calculus of Variations.
16. Probability Theory and Distributions.
17. Information Theory.
- Written in a modular structure so that each chapter is a review of its subject and could be read independently. This approach makes the book useful as a reference or refresher for scientists and also allows instructors to choose their own subset for classroom discussion.
- Useful as a reference and refresher for beginning researchers, and the extensive chapters on probability theory and information theory serve as an excellent starting point to embark on this timely and fast-developing field. The subject of classical and quantum information theories is not covered in competing books.
- Provides the necessary mathematical skills that are required by most of the engineering and physics undergraduate programs
- Contains carefully selected exercises located at the end of each chapter and interesting examples are found throughout the book.