Gaussian Integrals and their Applications
eBook - ePub

Gaussian Integrals and their Applications

  1. 82 pages
  2. English
  3. ePUB (mobile friendly)
  4. Only available on web
eBook - ePub

Gaussian Integrals and their Applications

Book details
Table of contents
Citations

About This Book

Gaussian Integrals form an integral part of many subfields of applied mathematics and physics, especially in topics such as probability theory, statistics, statistical mechanics, quantum mechanics and so on. They are essential in computing quantities such as the statistical properties of normal random variables, solving partial differential equations involving diffusion processes, and gaining insight into the properties of particles. In Gaussian Integrals and their Applications, the author has condensed the material deemed essential for undergraduate and graduate students of physics and mathematics, such that for those who are very keen would know what to look for next if their appetite for knowledge remains unsatisfied by the time they finish reading this book. Features

  • A concise and easily digestible treatment of the essentials of Gaussian Integrals
  • Suitable for advanced undergraduates and graduate students in mathematics, physics, and statistics
  • The only prerequisites are a strong understanding of multivariable calculus and linear algebra.
  • Supplemented by numerous exercises (with fully worked solutions) at the end, which pertain to various levels of difficulty and are inspired by different fields in which Gaussian integrals are used.

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Yes, you can access Gaussian Integrals and their Applications by Oscar A. Nieves in PDF and/or ePUB format, as well as other popular books in Mathematics & Mathematical Analysis. We have over one million books available in our catalogue for you to explore.

Information

Year
2024
ISBN
9781040102480
Edition
1

Table of contents

  1. Cover Page
  2. Half-Title Page
  3. Title Page
  4. Copyright Page
  5. Contents
  6. Preface
  7. About the Author
  8. Chapter 1 ■ Elementary Results
  9. Chapter 2 ■ Compound Gaussian Integrals
  10. Chapter 3 ■ Multivariate Gaussian Integrals
  11. Chapter 4 ■ Applications
  12. Exercises
  13. Solutions
  14. Bibliography
  15. Index