Vector calculus
Author(s)
Bibliographic Information
Vector calculus
Pearson, c2012
4th ed
Available at 1 libraries
  Aomori
  Iwate
  Miyagi
  Akita
  Yamagata
  Fukushima
  Ibaraki
  Tochigi
  Gunma
  Saitama
  Chiba
  Tokyo
  Kanagawa
  Niigata
  Toyama
  Ishikawa
  Fukui
  Yamanashi
  Nagano
  Gifu
  Shizuoka
  Aichi
  Mie
  Shiga
  Kyoto
  Osaka
  Hyogo
  Nara
  Wakayama
  Tottori
  Shimane
  Okayama
  Hiroshima
  Yamaguchi
  Tokushima
  Kagawa
  Ehime
  Kochi
  Fukuoka
  Saga
  Nagasaki
  Kumamoto
  Oita
  Miyazaki
  Kagoshima
  Okinawa
  Korea
  China
  Thailand
  United Kingdom
  Germany
  Switzerland
  France
  Belgium
  Netherlands
  Sweden
  Norway
  United States of America
Note
Includes bibliographical references (p. 563-564) and index
Description and Table of Contents
Description
Vector Calculus, Fourth Edition, uses the language and notation of vectors and matrices to teach multivariable calculus. It is ideal for students with a solid background in single-variable calculus who are capable of thinking in more general terms about the topics in the course. This text is distinguished from others by its readable narrative, numerous figures, thoughtfully selected examples, and carefully crafted exercise sets. Colley includes not only basic and advanced exercises, but also mid-level exercises that form a necessary bridge between the two.
Table of Contents
- 1. Vectors 1.1 Vectors in Two and Three Dimensions 1.2 More About Vectors 1.3 The Dot Product 1.4 The Cross Product 1.5 Equations for Planes
- Distance Problems 1.6 Some n-dimensional Geometry 1.7 New Coordinate Systems True/False Exercises for Chapter 1 Miscellaneous Exercises for Chapter 1 2. Differentiation in Several Variables 2.1 Functions of Several Variables
- Graphing Surfaces 2.2 Limits 2.3 The Derivative 2.4 Properties
- Higher-order Partial Derivatives 2.5 The Chain Rule 2.6 Directional Derivatives and the Gradient 2.7 Newton's Method (optional) True/False Exercises for Chapter 2 Miscellaneous Exercises for Chapter 2 3. Vector-Valued Functions 3.1 Parametrized Curves and Kepler's Laws 3.2 Arclength and Differential Geometry 3.3 Vector Fields: An Introduction 3.4 Gradient, Divergence, Curl, and the Del Operator True/False Exercises for Chapter 3 Miscellaneous Exercises for Chapter 3 4. Maxima and Minima in Several Variables 4.1 Differentials and Taylor's Theorem 4.2 Extrema of Functions 4.3 Lagrange Multipliers 4.4 Some Applications of Extrema True/False Exercises for Chapter 4 Miscellaneous Exercises for Chapter 4 5. Multiple Integration 5.1 Introduction: Areas and Volumes 5.2 Double Integrals 5.3 Changing the Order of Integration 5.4 Triple Integrals 5.5 Change of Variables 5.6 Applications of Integration 5.7 Numerical Approximations of Multiple Integrals (optional) True/False Exercises for Chapter 5 Miscellaneous Exercises for Chapter 5 6. Line Integrals 6.1 Scalar and Vector Line Integrals 6.2 Green's Theorem 6.3 Conservative Vector Fields True/False Exercises for Chapter 6 Miscellaneous Exercises for Chapter 6 7. Surface Integrals and Vector Analysis 7.1 Parametrized Surfaces 7.2 Surface Integrals 7.3 Stokes's and Gauss's Theorems 7.4 Further Vector Analysis
- Maxwell's Equations True/False Exercises for Chapter 7 Miscellaneous Exercises for Chapter 7 8. Vector Analysis in Higher Dimensions 8.1 An Introduction to Differential Forms 8.2 Manifolds and Integrals of k-forms 8.3 The Generalized Stokes's Theorem True/False Exercises for Chapter 8 Miscellaneous Exercises for Chapter 8 Suggestions for Further Reading Answers to Selected Exercises Index
by "Nielsen BookData"