Calculus and Its Applications plus MyLab Math with Pearson eText -- 24-Month Access Card Package

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For two-semester courses in Applied Calculus. 

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Anticipating and meeting student needs

Calculus and Its Applications  remains a best-selling text because of its intuitive approach that anticipates student needs, and a writing style that pairs clear explanations with carefully crafted figures to help students visualize concepts. Key enhancements in the 2nd  Edition include the earlier introduction of logarithmic and exponential functions to help students master these important functions and their applications. 

The text’s accompanying MyLab™ Math course also has been revised substantially, as new co-author Gene Kramer (University of Cincinnati, Blue Ash) revisited every homework question and learning aid to improve  content clarity and accuracy. These and all other aspects of the new edition are designed to motivate and help students more readily understand and apply principles of calculus.

Note: The title of this text was formerly Calculus and Its Applications, Expanded Version.

Personalize learning with MyLab Math

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Package consists of:

• 0135091683 / 9780135091685 Calculus and Its Applications
• 0135218233 / 9780135218235 MyLab Math with Pearson eText - Standalone Access Card - for Calculus and Its Applications

Marvin Bittinger has been teaching math at the university level for more than thirty-eight years. Since 1968, he has been employed at Indiana University Purdue University Indianapolis, and is now professor emeritus of mathematics education. Professor Bittinger has authored over 250 publications on topics ranging from basic mathematics to algebra and trigonometry to applied calculus. He received his BA in mathematics from Manchester College and his PhD in mathematics education from Purdue University. Special honors include Distinguished Visiting Professor at the United States Air Force Academy and his election to the Manchester College Board of Trustees from 1992 to 1999. His hobbies include hiking in Utah, baseball, golf, and bowling. Professor Bittinger has also had the privilege of speaking at many mathematics conventions, most recently giving a lecture entitled "Baseball and Mathematics." In addition, he also has an interest in philosophy and theology, in particular, apologetics. Professor Bittinger currently lives in Carmel, Indiana, with his wife, Elaine. He has two grown and married sons, Lowell and Chris, and four granddaughters.

David Ellenbogen has taught math at the college level for over thirty years, spending most of that time in the Massachusetts and Vermont community college systems, where he has served on both curriculum and developmental math committees. He has also taught at St. Michael's College and the University of Vermont. Professor Ellenbogen has been active in the American Mathematical Association of Two Year Colleges since 1985, having served on its Developmental Mathematics Committee and as a Vermont state delegate.  He has been a member of the Mathematical Association of America since 1979 and has authored dozens of publications on topics ranging from prealgebra to calculus and has delivered lectures at numerous conferences on the use of language in mathematics. Professor Ellenbogen received his BA in mathematics from Bates College and his MA in community college mathematics education from the University of Massachusetts at Amherst, and a certificate of graduate study in Ecological Economics from the University of Vermont. Professor Ellenbogen has a deep love for the environment and the outdoors, and serves on the boards of three nonprofit organizations in his home state of Vermont. In his spare time, he enjoys playing jazz piano, hiking, biking, and skiing. He has two sons, Monroe and Zack.

Scott Surgent received his B.S. and M.S. degrees in mathematics from the University of California—Riverside, and has taught mathematics at Arizona State University in Tempe, Arizona, since 1994. He is an avid sports fan and has authored books on hockey, baseball, and hiking. Scott enjoys hiking and climbing the mountains of the western United States. He was active in search and rescue, including six years as an Emergency Medical Technician with the Central Arizona Mountain Rescue Association (Maricopa County Sheriff’s Office) from 1998 until 2004. Scott and his wife, Beth, live in Scottsdale, Arizona.

Gene Kramer received his PhD from the University of Cincinnati, where he researched the well-posedness of initial-boundary value problems for nonlinear wave equations.  He is currently a professor of mathematics at the University of Cincinnati Blue Ash College.  He is active in scholarship of teaching and learning research and is a member of the Academy of the Fellows for Teaching and Learning at the University of Cincinnati.  He is a co-founder and an editor for The Journal for Research and Practice in College Teaching and serves as a Peer Reviewer for the Higher Learning Commission. 

Preface

Prerequisite Skills Diagnostic Test

R. Functions, Graphs, and Models

R.1 Graphs and Equations

R.2 Functions and Models

R.3 Finding Domain and Range

R.4 Slope and Linear Functions

R.5 Nonlinear Functions and Models

R.6 Exponential and Logarithmic Functions

R.7 Mathematical Modeling and Curve Fitting

Chapter Summary

Chapter Review Exercises

Chapter Test

Extended Technology Application: Average Price of a Movie Ticket

1. Differentiation

1.1 Limits: A Numerical and Graphical Approach

1.2 Algebraic Limits and Continuity

1.3 Average Rates of Change

1.4 Differentiation Using Limits and Difference Quotients

1.5 Leibniz Notation and the Power and Sum—Difference Rules

1.6 The Product and Quotient Rules

1.7 The Chain Rule

1.8 Higher-Order Derivatives

Chapter Summary

Chapter Review Exercises

Chapter Test

Extended Technology Application: Path of a Baseball: The Tale of the Tape

2. Exponential and Logarithmic Functions

2.1 Exponential and Logarithmic Functions of the Natural Base, e

2.2 Derivatives of Exponential (Base-e) Functions

2.3 Derivatives of Natural Logarithmic Functions

2.4 Applications: Uninhibited and Limited Growth Models

2.5 Applications: Exponential Decay231

2.6 The Derivatives of a _x and log _a x

Chapter Summary

Chapter Review Exercises

Chapter Test

Extended Technology Application: The Business of Motion Picture Revenue and DVD Release

3. Applications of Differentiation

3.1 Using First Derivatives to Classify Maximum and Minimum Values and Sketch Graphs

3.2 Using Second Derivatives to Classify Maximum and Minimum Values and Sketch Graphs

3.3 Graph Sketching: Asymptotes and Rational Functions

3.4 Optimization: Finding Absolute Maximum and Minimum Values

3.5 Optimization: Business, Economics, and General Applications

3.6 Marginals, Differentials, and Linearization

3.7 Elasticity of Demand

3.8 Implicit Differentiation and Logarithmic Differentiation

3.9 Related Rates

Chapter Summary

Chapter Review Exercises

Chapter Test

Extended Technology Application: Maximum Sustainable Harvest

4. Integration

4.1 Antidifferentiation

4.2 Antiderivatives as Areas

4.3 Area and Definite Integrals

4.4 Properties of Definite Integrals: Additive Property, Average Value, and Moving Average

4.5 Integration Techniques: Substitution

4.6 Integration Techniques: Integration by Parts

4.7 Numerical Integration

Chapter Summary

Chapter Review Exercises

Chapter Test

Extended Technology Application: Business and Economics: Distribution of Wealth

5. Applications of Integration

5.1 Consumer and Producer Surplus; Price Floors, Price Ceilings, and Deadweight Loss

5.2 Integrating Growth and Decay Models

5.3 Improper Integrals

5.4 Probability

5.5 Probability: Expected Value; the Normal Distribution

5.6 Volume

5.7 Differential Equations

Chapter Summary

Chapter Review Exercises

Chapter Test

Extended Technology Application: Curve Fitting and Volumes of Containers

6. Functions of Several Variables

6.1 Functions of Several Variables

6.2 Partial Derivatives

6.3 Maximum—Minimum Problems

6.4 An Application: The Least-Squares Technique

6.5 Constrained Optimization: Lagrange Multipliers and the Extreme-Value Theorem

6.6 Double Integrals

Chapter Summary

Chapter Review Exercises

Chapter Test

Extended Technology Application: Minimizing Employees’ Travel Time in a Building

7. Trigonometric Functions

7.1  Basics of Trigonometry

7.2  Derivatives of Trigonometric Functions

7.3  Integration of Trigonometric Functions

7.4  Inverse Trigonometric Functions and Applications

Chapter Summary

Chapter Review Exercises

Chapter Test

Extended Technology Application

8. Differential Equations

8.1  Direction Fields, Autonomic Forms, and Population Models

8.2  Applications: Inhibited Growth Models

8.3  First-Order Linear Differential Equations

8.4  Higher-Order Differential Equations and a Trigonometry Connection

Chapter Summary

Chapter Review Exercises

Chapter Test

Extended Technology Application

9. Sequences and Series

9.1  Arithmetic Sequences and Series

9.2  Geometric Sequences and Series

9.3  Simple and Compound Interest

9.4  Annuities and Amortization

9.5  Power Series and Linearization

9.6  Taylor Series and a Trigonometry Connection

Chapter Summary

Chapter Review Exercises

Chapter Test

Extended Technology Application

10. Probability Distributions

10.1  A Review of Sets

10.2  Theoretical Probability

10.3  Discrete Probability Distributions

10.4  Continuous Probability Distributions: Mean, Variance, and Standard Deviation

Chapter Summary

Chapter Review Exercises

Chapter Test

Extended Technology Application

11. Systems and Matrices (online only)

11.1  Systems of Linear Equations

11.2  Gaussian Elimination

11.3  Matrices and Row Operations

11.4  Matrix Arithmetic: Equality, Addition, and Scalar Multiples

11.5  Matrix Multiplication, Multiplicative Identities, and Inverses

11.6  Determinants and Cramer’s Rule

11.7  Systems of Linear Inequalities and Linear Programming

Chapter Summary

Chapter Review Exercises

Chapter Test

Extended Technology Application

12. Combinatorics and Probability (online only)

12.1  Compound Events and Odds

12.2  Combinatorics: The Multiplication Principle and Factorial Notation

12.3  Permutations and Distinguishable Arrangements

12.4  Combinations and the Binomial Theorem

12.5  Conditional Probability and the Hypergeometric Probability Distribution Model

12.6  Independent Events, Bernoulli Trials, and the Binomial Probability Model

12.7  Bayes Theorem

Chapter Summary

Chapter Review Exercises

Chapter Test

Extended Technology Application

Cumulative Review

Appendix A: Review of Basic Algebra

Appendix B: Indeterminate Forms and l’Hôpital’s Rule

Appendix C: Regression and Microsoft Excel

Appendix D: Areas for a Standard Normal Distribution

Appendix E: Using Tables of Integration Formulas

Answers

Index of Applications

Index  

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