Single Variable version only includes chapters 1-11, Appendices
A-C, Calculus Easy Reference, and Answers to Odd Problems.
Multivariable version contains chapters 12 - 20.
Chapter 1. A Library of Functions
1.1. Functions and Change
1.2. Exponential Functions
1.3. New Functions From Old
1.4. Logarithmic Functions
1.5. Trigonometric Functions
1.6. Powers, Polynomials, and Rational Functions
1.7. Introduction to Continuity
1.8. Limits
Review Problems
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Projects
Chapter 2. Key Concept: The Derivative
2.1. How Do We Measure Speed?
2.2. The Derivative at a Point
2.3. The Derivative Function
2.4. Interpretations of the Derivative
2.5. The Second Derivative
2.6. Differentiability
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Chapter 3. Short-Cuts to Differentiation
3.1. Powers and Polynomials
3.2. The Exponential Function
3.3. The Product and Quotient Rules
3.4. The Chain Rule
3.5. The Trigonometric Functions
3.6. The Chain Rule and Inverse Functions
3.7. Implicit Functions
3.8. Hyperbolic Functions
3.9. Linear Approximation and the Derivative
3.10. Theorems About Differentiable Functions
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Chapter 4. Using the Derivative
4.1. Using First and Second Derivatives
4.2. Families of Curves
4.3. Optimization
4.4. Applications of Marginality
4.5. Optimization and Modeling
4.6. Rates and Related Rates
4.7. L’Hopital’s Rule, Growth, and Dominance
4.8. Parametric Equations
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Chapter 5. Key Concept: The Definite Integral
5.1. How Do We Measure Distance Traveled?
5.2. The Definite Integral
5.3. The Fundamental Theorem and Interpretations
5.4. Theorems About Definite Integrals
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Chapter 6. Constructing Antiderivatives
6.1. Antiderivatives Graphically and Numerically
6.2. Constructing Antiderivatives Analytically
6.3. Differential Equations
6.4. Second Fundamental Theorem of Calculus
6.5. The Equation of Motion
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Chapter 7. Integration
7.1. Integration By Substitution
7.2. Integration By Parts
7.3. Tables of Integrals
7.4. Algebraic Identitites and Trigonometric Substitutions
7.5. Approximating Definite Integrals
7.6. Approximating Errors and Simpson’s Rule
7.7. Improper Integrals
7.8. Comparison of Improper Integrals
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Chapter 8. Using the Definite Integral
8.1. Areas and Volumes
8.2. Applications to Geometry
8.3. Area and Arc Length in Polar Coordinates
8.4. Density and Center of Mass
8.5. Applications to Physics
8.6. Applications to Economics
8.7. Distribution Functions
8.8. Probability, Mean, and Median
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Chapter 9. Sequences and Series
9.1. Sequences
9.2. Geometric Series
9.3. Convergence of Series
9.4. Tests for Convergence
9.5. Power Series and Interval of Convergence
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Chapter 10. Approximating Functions Using Series
10.1. Taylor Polynomials
10.2. Taylor Series
10.3. Finding and Using Taylor Series
10.4. The Error in Taylor Polynomial Approximations
10.5. Fourier Series
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Chapter 11. Differential Equations
11.1. What is a Differential Equation?
11.2. Slope Fields
11.3. Euler’s Method
11.4. Separation of Variables
11.5. Growth and Decay
11.6. Applications and Modeling
11.7. Models of Population Growth
11.8. Systems of Differential Equations
11.9. Analyzing the Phase Plane
11.10. Second-Order Differential Equations: Oscillations
11.11. Linear Second-Order Differential Equations
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Chapter 12. Functions of Several Variables
12.1. Functions of Two Variables
12.2. Graphs of Functions of Two Variables
12.3. Contour Diagrams
12.4. Linear Functions
12.5. Functions of Three Variables
12.6. Limits and Continuity
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Chapter 13. A Fundamental Tool: Vectors
13.1. Displacement Vectors
13.2. Vectors in General
13.3. The Dot Product
13.4. The Cross Product
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Chapter 14. Differentiating Functions of Many Variables
14.1. The Partial Derivative
14.2. Computing Partial Derivatives Algebraically
14.3. Local Linearity and the Differential
14.4. Gradients and Directional Derivatives in the Plane
14.5. Gradients and Directional Derivatives in Space
14.6. The Chain Rule
14.7. Second-Order Partial Derivatives
14.8. Differentiability
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Chapter 15. Optimization: Local and Global Extrema
15.1. Local Extrema
15.2. Optimization
15.3. Constrained Optimization: LaGrange Multipliers
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Chapter 16. Integrating Functions of Many Variables
16.1. The Definite Integral of a Function of Two Variables
16.2. Iterated Integrals
16.3. Triple Integrals
16.4. Double Integrals in Polar Coordinates
16.5. Integrals in Cylindrical and Spherical Coordinates
16.6. Applications of Integration to Probability
16.7. Change of Variables in a Multiple Integral
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Chapter 17. Parameterized Curves and Vector Fields
17.1. Parameterized Curves
17.2. Motion, Velocity, and Acceleration
17.3. Vector Fields
17.4. The Flow of a Vector Field
17.5. Parameterized Surfaces
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Chapter 18. Line Integrals
18.1. The Idea of a Line Integral
18.2. Computing Line Integrals Over Parameterized Curves
18.3. Gradient Fields and Path-Independent Fields
18.4. Path-Dependent Vector Fields and Green’s Theorem
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Chapter 19. Flux Integrals
19.1. The Idea of a Flux Integral
19.2. Flux Integrals for Graphs, Cylinders, and Spheres
19.3. Flux Integrals Over Parameterized Surfaces
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Chapter 20. Calculus of Vector Fields
20.1. The Divergence of a Vector Field
20.2. The Divergence Theorem
20.3. The Curl of a Vector Field
20.4. Stokes’ Theorem
20.5. The Three Fundamental Theorems
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Appendix A: Roots, Accuracy, and Bounds
Appendix B: Complex Numbers
Appendix C: Newton’s Method
Appendix D: Determinants
Calculus Easy Reference
Answers to Odd Problems
Index
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