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Guide to Essential Math: A Review for Physics, Chemistry and Engineering Students, 2nd Edition
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Guide to Essential Math: A Review for Physics, Chemistry and Engineering Students, 2nd EditionНазвание: Guide to Essential Math: A Review for Physics, Chemistry and Engineering Students, 2nd Edition
Автор: S.M. Blinder
Издательство: Elsevier
Год: 2013
Страниц: 367
Язык: английский
Формат: epub (true)
Размер: 10.1 MB

This book reminds students in junior, senior and graduate level courses in physics, chemistry and engineering of the math they may have forgotten (or learned imperfectly) that is needed to succeed in science courses. The focus is on math actually used in physics, chemistry, and engineering, and the approach to mathematics begins with 12 examples of increasing complexity, designed to hone the student's ability to think in mathematical terms and to apply quantitative methods to scientific problems. Detailed illustrations and links to reference material online help further comprehension. The second edition features new problems and illustrations and features expanded chapters on matrix algebra and differential equations.

A (translated) quotation attributed to Leibniz states that “It is unworthy of excellent men to lose hours like slaves in the labor of calculation …” With modern computer software, it is now possible to perform, with remarkabke facility, not only numerical but also symbolic calculations involving algebra and calculus. I am an enthusiastic user of Mathematica as an indispensible aid to my mathematical and scientific work. Other symbolic mathematical programs which will provide many of the same befefits are Maple and Mathcad.

Table of Contents
Copyright
To the Reader
Preface to Second Edition
Chapter 1. Mathematical Thinking
Chapter 2. Numbers
Chapter 3. Algebra
Chapter 4. Trigonometry
Chapter 5. Analytic Geometry
Chapter 6. Calculus
Chapter 7. Series and Integrals
Chapter 8. Differential Equations
Chapter 9. Matrix Algebra
Chapter 10. Group Theory
Chapter 11. Multivariable Calculus
Chapter 12. Vector Analysis
Chapter 13. Partial Differential Equations and Special Functions
Chapter 14. Complex Variables
About the Author

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