Calculus with Passcode for OLC and Interactive Text

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  • Edition: 2nd
  • Format: Hardcover
  • Copyright: 2001-08-08
  • Publisher: McGraw-Hill Higher Education
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The wide-ranging debate brought about by the calculus reform movement has had a significant impact on calculus textbooks. In response to many of the questions and concerns surrounding this debate, the authors have written a modern calculus textbook, intended for students majoring in mathematics, physics, chemistry, engineering and related fields. The text is written for the average student -- one who does not already know the subject, whose background is somewhat weak in spots, and who requires a significant motivation to study calculus.

The authors follow a relatively standard order of presentation, while integrating technology and thought-provoking exercises throughout the text. Some minor changes have been made in the order of topics to reflect shifts in the importance of certain applications in engineering and science. This text also gives an early introduction to logarithms, exponentials and the trigonometric functions. Wherever practical, concepts are developed from graphical, numerical, and algebraic perspectives (the "Rule of Three") to give students

Table of Contents

0 Preliminaries

0.1 The Real Numbers and the Cartesian Plane

0.2 Lines and Functions

0.3 Graphing Calculators and Computer Algebra Systems

0.4 Solving Equations

0.5 Trigonometric Functions

0.6 Exponential and Logarithmic Functions

0.7 Transformations of Functions

0.8 Preview of Calculus

1 Limits and Continuity

1.1 The Concept of Limit

1.2 Computation of Limits

1.3 Continuity and its Consequences

1.4 Limits Involving Infinity

1.5 Formal Definition of the Limit

1.6 Limits and Loss-of-Significance Errors

2 Differentiation

2.1 Tangent Lines and Velocity

2.2 The Derivative

2.3 Computation of Derivatives: The Power Rule

2.4 The Product and Quotient Rules

2.5 Derivatives of Trigonometric Functions

2.6 Derivatives of Exponential and Logarithmic Functions

2.7 The Chain Rule

2.8 Implicit Differentiation and Related Rates

2.9 The Mean Value Theorem

3 Applications of Differentiation

3.1 Linear Approximations adn L'Hopital's Rule

3.2 Newton's Method

3.3 Maximum and Minimum Values

3.4 Increasing and Decreasing Functions

3.5 Concavity

3.6 Overview of Curve Sketching

3.7 Optimization

3.8 Rates of Change in Applications

4 Integration

4.1 Antiderivatives

4.2 Sums and Sigma Notation

4.3 Area

4.4 The Definite Integral

4.5 The Fundamental Theorem of Calculus

4.6 Integration by Substitution

4.7 Numerical Integration

5 Applications of the Definite Integral

5.1 Area Between Curves

5.2 Volume

5.3 Volumes by Cylindrical Shells

5.4 Arc Length and Surface Area

5.5 Projectile Motion

5.6 Work, Moments, and Hydrostatic Force

5.7 Probability

6 Exponentials, Logarithms, and Other Transcendental Functions

6.1 The Natural Logarithm Revisited

6.2 Inverse Functions

6.3 The Exponential Function Revisited

6.4 Growth and Decay Problems

6.5 Separable Differential Equations

6.6 Euler's Method

6.7 The Inverse Trigonometric Functions

6.8 The Calculus of the Inverse Trigonometric Functions

6.9 The Hyperbolic Functions

7 Integration Techniques

7.1 Review of Formulas and Techniques

7.2 Integration by Parts

7.3 Trigonometric Techniques of Integration

7.4 Integration of Rational Functions using Partial Fractions

7.5 Integration Tables and Computer Algebra Systems

7.6 Indeterminate Forms and L'Hopital's Rule

7.7 Improper Integrals

8 Infinite Series

8.1 Sequences of Real Numbers

8.2 Infinite Series

8.3 The Integral Test and Comparison Tests

8.4 Alternating Series

8.5 Absolute Convergence and the Ratio Test

8.6 Power Series

8.7 Taylor Series

8.8 Fourier Series

9 Parametric Equations and Polar Coordinates

9.1 Plane Curves and Parametric Equations

9.2 Calculus and Parametric Equations

9.3 Arc Length and Surface Area in Parametric Equations

9.4 Polar Coordinates

9.5 Calculus and Polar Coordinates

9.6 Conic Sections

9.7 Conic Sections in Polar Coordinates

10 Vectors and the Geometry of Space

10.1 Vectors in the Plane

10.2 Vectors in Space

10.3 The Dot Product

10.4 The Cross Product

10.5 Lines and Planes in Space

10.6 Surfaces in Space

11 Vector-Valued Functions

11.1 Vector-Valued Functions

11.2 The Calculus of Vector-Valued Functions

11.3 Motion in Space

11.4 Curvature

11.5 Tangent and Normal Vectors

12 Functions of Several Variables and Differentiation

12.1 Functions of Several Variables

12.2 Limits and Continuity

12.3 Partial Derivatives

12.4 Tangent Planes and Linear Approximations

12.5 The Chain Rule

12.6 The Gradient and Directional Derivatives

12.7 Extrema of Functions of Several Variables

12.8 Constrained Optimization and Lagrange Multipliers

13 Multiple Integrals

13.1 Double Integrals

13.2 Area, Volume and Center of Mass

13.3 Double Integrals in Polar Coordinates

13.4 Surface Area

13.5 Triple Integrals

13.6 Cylindrical Coordinates

13.7 Spherical Coordinates

13.8 Change of Variables in Multiple Integrals

14 Vector Calculus

14.1 Vector Fields

14.2 Line Integrals

14.3 Independence of Path and Conservative Vector Fields

14.4 Green's Theorem

14.5 Curl and Divergence

14.6 Surface Integrals

14.7 The Divergence Theorem

14.8 Stokes' Theorem

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