9780134122588

Calculus and Its Applications Expanded Version Media Update

by ; ;
  • ISBN13:

    9780134122588

  • ISBN10:

    0134122585

  • Edition: Revised
  • Format: Hardcover
  • Copyright: 2/10/2015
  • Publisher: Pearson

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Summary

This is an expanded version of Calculus and its Applications, Tenth Edition, by the same authors. The additional coverage includes trigonometric functions, differential equations, sequences and series, and probability distributions. Chapters on Systems and Matrices and Discrete Probability are available as a custom option or online in MyMathLab.

 

Anticipating and meeting student needs

Calculus and Its Applications remains a best-selling text due to its accessible presentation, which anticipates and addresses student needs. The writing style is ideal for today’s students, providing intuitive explanations with carefully crafted artwork to help them visualize calculus concepts. Additionally, the text’s numerous and up-to-date applications from business, economics, life sciences, and social sciences help to motivate students. Algebra diagnostic and review material is available for those who need to strengthen basic skills. Every aspect of this version is designed to motivate and help students to more readily understand and apply the mathematics.

 

Note: You are purchasing a standalone product; MyMathLab does not come packaged with this content. MyMathLab is not a self-paced technology and should only be purchased when required by an instructor. If you would like to purchase both the physical text and MyMathLab, search for:

 

0134123492 / 9780134123493 Calculus and Its Applications Expanded Version Media Update Plus MyMathLab -- Access Card Package

 

Package consists of

0134122585 / 9780134122588 Calculus and Its Applications Expanded Version Media Update

0321431308 / 9780321431301 MyMathLab -- Glue-in Access Card

0321654064 / 9780321654069 MyMathLab Inside Star Sticker

 

Students, if interested in purchasing this title with MyMathLab, ask your instructor for the correct package ISBN and Course ID. Instructors, contact your Pearson representative for more information.

 

Author Biography

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 190 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 twenty-two 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 Mathematical Association of Two Year Colleges since 1985, having served on its Developmental Mathematics Committee and as a delegate, and has been a member of the Mathematical Association of America since 1979. He 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. A cofounder of the Colchester Vermont Recycling Program, Professor Ellenbogen has a deep love for the environment and the outdoors, especially in his home state of Vermont. In his spare time, he enjoys playing keyboard in the band Soularium, volunteering as a community mentor, 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.

Table of Contents

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 Mathematical Modeling and Curve Fitting

 

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 of Difference Quotients

1.5 Differentiation Techniques: The Power and Sum-Difference Rules

1.6 Differentiation Techniques: The Product and Quotient Rules

1.7 The Chain Rule

1.8 Higher-Order Derivatives

 

2. Applications of Differentiation

2.1 Using First Derivatives to Find Maximum and Minimum Values and Sketch Graphs

2.2 Using Second Derivatives to Find Maximum and Minimum Values and Sketch Graphs

2.3 Graph Sketching: Asymptotes and Rational Functions

2.4 Using Derivatives to Find Absolute Maximum and Minimum Values

2.5 Maximum-Minimum Problems; Business and Economic Applications

2.6 Marginals and Differentials

2.7 Implicit Differentiation and Related Rates

 

3. Exponential and Logarithmic Functions

3.1 Exponential Functions

3.2 Logarithmic Functions

3.3 Applications: Uninhibited and Limited Growth Models

3.4 Applications: Decay

3.5 The Derivatives of ax and log a x

3.6 An Economics Application: Elasticity of Demand

 

4. Integration

4.1 Antidifferentiation

4.2 Antiderivatives as Areas

4.3 Area and Definite Integrals

4.4 Properties of Definite Integrals

4.5 Integration Techniques: Substitution

4.6 Integration Techniques: Integration by Parts

4.7 Integration Techniques: Tables

 

5. Applications of Integration

5.1 An Economics Application: Consumer Surplus and Producer Surplus

5.2 Applications of Integrating Growth and Decay Models

5.3 Improper Integrals

5.4 Numerical Integration

5.5 Volume

 

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

6.6 Double Integrals

 

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

 

8. Differential Equations

8.1 Differential Equations

8.2 Separable Differential Equations

8.3 Applications: Inhibited Growth Models

8.4 First-Order Linear Differential Equations

8.5 Higher-Order Differential Equations and a Trigonometry Connection

 

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

 

10. Probability Distributions

10.1 A Review of Sets

10.2 Probability

10.3 Discrete Probability Distributions

10.4 Continuous Probability Distributions

10.5 Mean, Variance, Standard Deviation, and the Normal Distribution

 

11. Systems and Matrices (online)

11.1 Systems of Linear Equations

11.2 Gauss-Jordan 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

 

12. Discrete Probability (online)

12.1 Compound Events and Odds

12.2 Combinatorics: The Multiplication Principal and the Factorial

12.3 Permutations and Combinations

12.4 Conditional Probability and the Hypergeometric Distribution Model

12.5 Independence, Bernoulli Trials and the Binomial Probability Model

12.6 Bayes’ Rule

 

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