A complete introduction to the multidisciplinary of mathematical
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 , complex , and introductory mathematical physics. Essentials of Mathematical Methods in Science and Engineering provides a comprehensive introduction to these methods under one cover, outlining 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 theory with applications to statistical 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 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 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.

Preface.

Acknowledgments.

1. Functional Analysis.

2. Vector Analysis.

3. Generalized Coordinates and Tensors.

4. Determinants and Matrices.

5. Linear Algebra.

6. 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.

References.

Index.

Title: Essentials of Mathematical Methods in Science and Engineering
Author: S. Selçuk Bayin
Edition: 1st Edition
ISBN: 978-0-470-34379-1
Type: eBook
Language: English
Numerical Methods
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