Description

Book Synopsis


Table of Contents
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 Decay
  • 2.6 The Derivatives of ax and logax
  • 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
Cumulative Review Appendices:
  • A: Review of Basic Algebra
  • B: Indeterminate Forms and l’Hôpital’s Rule
  • C: Regression and Microsoft Excel
  • D: Areas for a Standard Normal Distribution
  • E: Using Tables of Integration Formulas
Answers Index of Applications Index

Calculus and Its Applications Brief Version

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A Hardback by Marvin Bittinger, David Ellenbogen, Scott Surgent

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    View other formats and editions of Calculus and Its Applications Brief Version by Marvin Bittinger

    Publisher: Pearson Education (US)
    Publication Date: 02/01/2019
    ISBN13: 9780135164884, 978-0135164884
    ISBN10: 0135164885

    Description

    Book Synopsis


    Table of Contents
    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 Decay
    • 2.6 The Derivatives of ax and logax
    • 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
    Cumulative Review Appendices:
    • A: Review of Basic Algebra
    • B: Indeterminate Forms and l’Hôpital’s Rule
    • C: Regression and Microsoft Excel
    • D: Areas for a Standard Normal Distribution
    • E: Using Tables of Integration Formulas
    Answers Index of Applications Index

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