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More About This Textbook
Overview
MyMathLab is not a selfpaced technology and should only be purchased when required by an instructor.
This much anticipated second edition of the most successful new calculus text published in the last two decades retains the best of the first edition while introducing important advances and refinements. Authors Briggs, Cochran, and Gillett build from a foundation of meticulously crafted exercise sets, then draw students into the narrative through writing that reflects the voice of the instructor, examples that are stepped out and thoughtfully annotated, and figures that are designed to teach rather than simply supplement the narrative. The authors appeal to students’ geometric intuition to introduce fundamental concepts, laying a foundation for the development that follows.
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Meet the Author
William Briggs has been on the mathematics faculty at the University of Colorado at Denver for twentythree years. He received his BA in mathematics from the University of Colorado and his MS and PhD in applied mathematics from Harvard University. He teaches undergraduate and graduate courses throughout the mathematics curriculum with a special interest in mathematical modeling and differential equations as it applies to problems in the biosciences. He has written a quantitative reasoning textbook, Using and Understanding Mathematics; an undergraduate problem solving book, Ants, Bikes, and Clocks; and two tutorial monographs, The Multigrid Tutorial and The DFT: An Owner’s Manual for the Discrete Fourier Transform. He is the Society for Industrial and Applied Mathematics (SIAM) Vice President for Education, a University of Colorado President’s Teaching Scholar, a recipient of the Outstanding Teacher Award of the Rocky Mountain Section of the Mathematical Association of America (MAA), and the recipient of a Fulbright Fellowship to Ireland.
Lyle Cochran is a professor of mathematics at Whitworth University in Spokane, Washington. He holds BS degrees in mathematics and mathematics education from Oregon State University and a MS and PhD in mathematics from Washington State University. He has taught a wide variety of undergraduate mathematics courses at Washington State University, Fresno Pacific University, and, since 1995, at Whitworth University. His expertise is in mathematical analysis, and he has a special interest in the integration of technology and mathematics education. He has written technology materials for leading calculus and linear algebra textbooks including the Instructor’s Mathematica Manual for Linear Algebra and Its Applications by David C. Lay and the Mathematica Technology Resource Manual for Thomas’ Calculus. He is a member of the MAA and a former chair of the Department of Mathematics and Computer Science at Whitworth University.
Table of Contents
1. Functions
1.1 Review of functions
1.2 Representing functions
1.3 Trigonometric functions
1.4 Trigonometric functions
2. Limits
2.1 The idea of limits
2.2 Definitions of limits
2.3 Techniques for computing limits
2.4 Infinite limits
2.5 Limits at infinity
2.6 Continuity
2.7 Precise definitions of limits
3. Derivatives
3.1 Introducing the derivative
3.2 Working with derivatives
3.3 Rules of differentiation
3.4 The product and quotient rules
3.5 Derivatives of trigonometric functions
3.6 Derivatives as rates of change
3.7 The Chain Rule
3.8 Implicit differentiation
3.9 Related rates
4. Applications of the Derivative
4.1 Maxima and minima
4.2 What derivatives tell us
4.3 Graphing functions
4.4 Optimization problems
4.5 Linear approximation and differentials
4.6 Mean Value Theorem
4.7 L’Hôpital’s Rule
4.8 Newton’s Method
4.9 Antiderivatives
5. Integration
5.1 Approximating areas under curves
5.2 Definite integrals
5.3 Fundamental Theorem of Calculus
5.4 Working with integrals
5.5 Substitution rule
6. Applications of Integration
6.1 Velocity and net change
6.2 Regions between curves
6.3 Volume by slicing
6.4 Volume by shells
6.5 Length of curves
6.6 Surface area
6.7 Physical applications
7. Logarithmic and Exponential Functions
7.1 Inverse functions
7.2 The natural logarithmic and exponential functions
7.3 Logarithmic and exponential functions with other bases
7.4 Exponential models
7.5 Inverse trigonometric functions
7.6 L’ Hôpital’s Rule and growth rates of functions
7.7 Hyperbolic functions
8. Integration Techniques
8.1 Basic approaches
8.2 Integration by parts
8.3 Trigonometric integrals
8.4 Trigonometric substitutions
8.5 Partial fractions
8.6 Other integration strategies
8.7 Numerical integration
8.8 Improper integrals
8.9 Introduction to differential equations
9. Sequences and Infinite Series
9.1 An overview
9.2 Sequences
9.3 Infinite series
9.4 The Divergence and Integral Tests
9.5 The Ratio, Root, and Comparison Tests
9.6 Alternating series
10. Power Series
10.1 Approximating functions with polynomials
10.2 Properties of Power series
10.3 Taylor series
10.4 Working with Taylor series
11. Parametric and Polar Curves
11.1 Parametric equations
11.2 Polar coordinates
11.3 Calculus in polar coordinates
11.4 Conic sections
12. Vectors and VectorValued Functions
12.1 Vectors in the plane
12.2 Vectors in three dimensions
12.3 Dot products
12.4 Cross products
12.5 Lines and curves in space
12.6 Calculus of vectorvalued functions
12.7 Motion in space
12.8 Length of curves
12.9 Curvature and normal vectors
13. Functions of Several Variables
13.1 Planes and surfaces
13.2 Graphs and level curves
13.3 Limits and continuity
13.4 Partial derivatives
13.5 The Chain Rule
13.6 Directional derivatives and the gradient
13.7 Tangent planes and linear approximation
13.8 Maximum/minimum problems
13.9 Lagrange multipliers
14. Multiple Integration
14.1 Double integrals over rectangular regions
14.2 Double integrals over general regions
14.3 Double integrals in polar coordinates
14.4 Triple integrals
14.5 Triple integrals in cylindrical and spherical coordinates
14.6 Integrals for mass calculations
14.7 Change of variables in multiple integrals
15. Vector Calculus
15.1 Vector fields
15.2 Line integrals
15.3 Conservative vector fields
15.4 Green’s theorem
15.5 Divergence and curl
15.6 Surface integrals
15.6 Stokes’ theorem
15.8 Divergence theorem
Appendix A. Algebra Review
Appendix B. Proofs of Selected Theorems
D1 Differential Equations (online)
D1.1 Basic Ideas
D1.2 Direction Fields and Euler’s Method
D1.3 Separable Differential Equations
D1.4 Special FirstOrder Differential Equations
D1.5 Modeling with Differential Equations
D2 SecondOrder Differential Equations (online)
D2.1 Basic Ideas
D2.2 Linear Homogeneous Equations
D2.3 Linear Nonhomogeneous Equations
D2.4 Applications
D2.5 Complex Forcing Functions