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Calculus by Gilbert Strang




Calculus by Gilbert Strang - Table of Contents

0. Highlights of Calculus 1. Introduction to Calculus 2. Derivatives 3. Applications of the Derivative 4. Derivatives and the Chain Rule 5. Integrals 6. Exponentials and Logarithms 7. Techniques of Integration 8. Applications of the Integral 9. Polar Coordinates and Complex Numbers 10. Infinite Series 11. Vectors and Matrices 12. Motion along a Curve 13. Partial Derivatives 14. Multiple Integrals 15. Vector Calculus 16. Mathematics after Calculus

What You Will Learn in Calculus by Gilbert Strang

Gilbert Strang's highly regarded calculus textbook is ideal both as a course companion and for self-study. Examples of the application of calculus to subjects such as physics, engineering and economics are included, as well as many practice questions and illustrative diagrams to assist the reader's grasp of the material. Gilbert Strang's clear, direct style and detailed, intensive explanations make this textbook ideal as both a course companion and for self-study. Single variable and multivariable calculus are covered in depth. Key examples of the application of calculus to areas such as physics, engineering and economics are included in order to enhance students' understanding.

Book Details & Specifications

Title: Calculus by Gilbert Strang
Publisher: Wellesley-Cambridge Press
Year: 2012
Pages: 875
Type: PDF
Language: English
ISBN-10 #: 1947172131
ISBN-13 #: 978-1-947172-13-5
License: CC BY-NC-SA 4.0
Amazon: Amazon

About the Author: William Gilbert Strang

The author William Gilbert Strang was born in 1934, usually known as simply Gilbert Strang or Gil Strang, is an American mathematician, with contributions to finite element theory, the calculus of variations, wavelet analysis and linear algebra. He has made many contributions to mathematics education, including publishing seven mathematics textbooks and one monograph. Strang is the MathWorks Professor of Mathematics at the Massachusetts Institute of Technology.[2] He teaches Introduction to Linear Algebra and Computational Science and Engineering and his lectures are freely available through MIT OpenCourseWare.

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