Mathematics for Mechanical Engineers
eBook - ePub

Mathematics for Mechanical Engineers

  1. 264 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Mathematics for Mechanical Engineers

Book details
Table of contents
Citations

About This Book

Mathematics for Mechanical Engineers gives mechanical engineers convenient access to the essential problem solving tools that they use each day. It covers applications employed in many different facets of mechanical engineering, from basic through advanced, to ensure that you will easily find answers you need in this handy guide.
For the engineer venturing out of familiar territory, the chapters cover fundamentals like physical constants, derivatives, integrals, Fourier transforms, Bessel functions, and Legendre functions. For the experts, it includes thorough sections on the more advanced topics of partial differential equations, approximation methods, and numerical methods, often used in applications. The guide reviews statistics for analyzing engineering data and making inferences, so professionals can extract useful information even with the presence of randomness and uncertainty. The convenient Mathematics for Mechanical Engineers is an indispensable summary of mathematics processes needed by engineers.

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Yes, you can access Mathematics for Mechanical Engineers by Frank Kreith,William F. Ames,George Cain,Y. L. Tong,W. Glenn Steele,Hugh W. Coleman,Richard L. Kautz,Dan M. Frangopol,Paul Norton in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Mechanical Engineering. We have over one million books available in our catalogue for you to explore.

Information

Publisher
CRC Press
Year
2022
ISBN
9781000142747
Edition
1
Topic
Technology & Engineering
Subtopic
Mechanical Engineering
Index
Technology & Engineering

Table of contents

  1. Cover
  2. Half Title
  3. Title Page
  4. Copyright Page
  5. Preface
  6. Contributors
  7. Table of Contents
  8. Chapter 1 Tables
  9. Chapter 2 Linear Algebra and Matrices
  10. Chapter 3 Vector Algebra and Calculus
  11. Chapter 4 Differential Equations
  12. Chapter 5 Differential Equations
  13. Chapter 6 Integral Equations
  14. Chapter 7 Approximation Methods
  15. Chapter 8 Integral Transforms
  16. Chapter 9 Calculus of Variations
  17. Chapter 10 Optimization Methods
  18. Chapter 11 Engineering Statistics
  19. Chapter 12 Numerical Methods
  20. Chapter 13 Experimental Uncertainty Analysis
  21. Chapter 14 Chaos
  22. Chapter 15 Fuzzy Sets and Fuzzy Logic
  23. Appendices
  24. Index