Description
Book SynopsisExpanded coverage of essential math, including integral equations, calculus of variations, tensor analysis, and special integrals
Math Refresher for Scientists and Engineers, Third Edition is specifically designed as a self-study guide to help busy professionals and students in science and engineering quickly refresh and improve the math skills needed to perform their jobs and advance their careers. The book focuses on practical applications and exercises that readers are likely to face in their professional environments. All the basic math skills needed to manage contemporary technology problems are addressed and presented in a clear, lucid style that readers familiar with previous editions have come to appreciate and value.
The book begins with basic concepts in college algebra and trigonometry, and then moves on to explore more advanced concepts in calculus, linear algebra (including matrices), differential equations, probability, and statistics. This Third
Trade Review"If you are a working professional or a student, this book will provide you with a basic refresher…" (
IEEE Electrical Insulation Magazine, July/August 2007)
"...anyone who deals with math consistently...will find this to be a valuable book." (Chip Scale Review, April/May 2007)
"…the book is multipurpose, reader friendly and be used as a quick reference on a variety of topics." (Technometrics, February 2007)
"Fanchi is an accomplished writer who is able to communicate in a clear and straight-forward manner - drawing the student into the material rather than creating deeper layers of intimidation." (Electric Review, September/October 2006)
‘…the third edition has new chapters dealing with integral equations, calculus of variations and tensor analysis.’ (Zentralblatt MATH,1102,May 2007)
Table of ContentsPreface.
1. Algebra.
2. Geometry,m Trigonometry & Hyperbolic Functions.
3. Analytic Geometry.
4. Linear Algebra I.
5. Linear Algebra II.
6. Differential Calculus.
7. Partial Derivatives.
8. Integral Calculus.
9. Special Integrals.
10. Ordinary Differential Equations.
11. Ode Solution Techniques.
12. Partial Differential Equations.
13. Integral Equations.
14. Calculus of Variations.
15. Probability.
16. Probability Distributions.
17. Statistics.
References.
Index.
