Laurence D Hoffmann, Gerald L Bradley, David Sobecki, Michael Price
Applied Calculus for Business, Economics, and the Social and Life Sciences, Expanded Edition, Media Update
Laurence D Hoffmann, Gerald L Bradley, David Sobecki, Michael Price
Applied Calculus for Business, Economics, and the Social and Life Sciences, Expanded Edition, Media Update
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Applied Calculus for Business, Economics, and the Social and Life Sciences, Expanded Edition provides a sound, intuitive understanding of the basic concepts students need as they pursue careers in business, economics, and the life and social sciences. Students achieve success using this text as a result of the author's applied and real-world orientation to concepts, problem-solving approach, straight forward and concise writing style, and comprehensive exercise sets. More than 100,000 students worldwide have studied from this text!
Applied Calculus for Business, Economics, and the Social and Life Sciences, Expanded Edition provides a sound, intuitive understanding of the basic concepts students need as they pursue careers in business, economics, and the life and social sciences. Students achieve success using this text as a result of the author's applied and real-world orientation to concepts, problem-solving approach, straight forward and concise writing style, and comprehensive exercise sets. More than 100,000 students worldwide have studied from this text!
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Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Produktdetails
- Produktdetails
- Verlag: McGraw Hill LLC
- 11th Expanded edition
- Seitenzahl: 1088
- Erscheinungstermin: 6. Januar 2012
- Englisch
- Abmessung: 254mm x 211mm x 41mm
- Gewicht: 2077g
- ISBN-13: 9780073532370
- ISBN-10: 0073532371
- Artikelnr.: 34920875
- Verlag: McGraw Hill LLC
- 11th Expanded edition
- Seitenzahl: 1088
- Erscheinungstermin: 6. Januar 2012
- Englisch
- Abmessung: 254mm x 211mm x 41mm
- Gewicht: 2077g
- ISBN-13: 9780073532370
- ISBN-10: 0073532371
- Artikelnr.: 34920875
Laurence D. Hoffmann November 2011 I consider myself to be a writer and expositor as well as a mathematician, and these traits led to the original version of this text published in 1975. Before assuming my current position as a Senior Investment Management Consultant with Morgan Stanley Smith Barney, I was a tenured professor of mathematics at Claremont McKenna College, where, on three occasions, I was honored to be the recipient of the Huntoon Award for Excellence in Teaching, a "best-teacher" award determined by a vote of the students. In addition to my current profession and my ongoing involvement with this text, I serve on the Strategic Planning committee of the Claremont Community foundation and on the Investment Committee of the Rancho Santa Ana Botanic Gardens in Claremont. My wife, Janice, and I love to travel, enjoy music and the arts, have two grown sons, three grandchildren and two Maltese dogs. I am an avid (but average) tennis player, am addicted to the Sunday Puzzle on NPR, and have been trying for several years to become fluent in Italian. Long ago, I received by BA in mathematics from Brown University and my Ph.D. in mathematics from the University of Wisconsin.
Chapter 1: Functions, Graphs, and Limits
1.1Functions
1.2The Graph of a Function
1.3Lines and Linear Functions
1.4Functional Models
1.5Limits
1.6One-Sided Limits and Continuity
Chapter 2: Differentiation: Basic Concepts
2.1The Derivative
2.2Techniques of Differentiation
2.3Product and Quotient Rules; Higher-Order Derivatives
2.4The Chain Rule
2.5Marginal Analysis and Approximations Using Increments
2.6Implicit Differentiation and Related Rates
Chapter 3: Additional Applications of the Derivative
3.1 Increasing and Decreasing Functions; Relative Extrema
3.2 Concavity and Points of Inflection
3.3 Curve Sketching
3.4 Optimization; Elasticity of Demand
3.5 Additional Applied Optimization
Chapter 4: Exponential and Logarithmic Functions
4.1 Exponential Functions; Continuous Compounding
4.2 Logarithmic Functions
4.3 Differentiation of Exponential and Logarithmic Functions
4.4 Additional Applications; Exponential Models
Chapter 5: Integration
5.1 Indefinite Integration and Differential Equations
5.2 Integration by Substitution
5.3 The Definite Integral and the Fundamental Theorem of Calculus
5.4 Applying Definite Integration: Distribution of Wealth and Average Value
5.5 Additional Applications to Business and Economics
5.6 Additional Applications to the Life and Social Sciences
Chapter 6: Additional Topics in Integration
6.1 Integration by Parts; Integral Tables
6.2 Numerical Integration
6.3 Improper Integrals
Chapter 7: Calculus of Several Variables
7.1 Functions of Several Variables
7.2 Partial Derivatives
7.3 Optimizing Functions of Two Variables
7.4 The Method of Least-Squares
7.5 Constrained Optimization: The Method of Lagrange Multipliers
7.6 Double Integrals
Chapter 8: Trigonometric Functions
8.1 Angle Measurement; Trigonometric Functions
8.2 Trigonometric Applications Involving Differentiation
8.3 Trigonometric Applications Involving Integration
Chapter 9: Differential Equations
9.1 Modeling with Differential Equations
9.2 First-Order Linear Differential Equations
9.3 Additional Applications of Differential Equations
9.4 Approximate Solutions of Differential Equations
9.5 Difference Equations; The Cobweb Model
Chapter 10: Infinite Series and Taylor Series Approximations
10.1 Infinite Series; Geometric Series
10.2 Tests for Convergence
10.3 Functions as Power Series; Taylor Series
Chapter 11: Probability and Calculus
11.1 Introduction to Probability; Discrete Random Variables
11.2 Continuous Probability Distributions
11.3 Expected Value and Variance of Continuous Random Variables
10.4 Normal and Poisson Probability Distributions
Appendix A: Algebra Review
A.1 A Brief Review of Algebra
A.2 Factoring Polynomials and Solving Systems of Equations
A.3 Evaluating Limits with L'Hopital's Rule
A.4 The Summation Notation
1.1Functions
1.2The Graph of a Function
1.3Lines and Linear Functions
1.4Functional Models
1.5Limits
1.6One-Sided Limits and Continuity
Chapter 2: Differentiation: Basic Concepts
2.1The Derivative
2.2Techniques of Differentiation
2.3Product and Quotient Rules; Higher-Order Derivatives
2.4The Chain Rule
2.5Marginal Analysis and Approximations Using Increments
2.6Implicit Differentiation and Related Rates
Chapter 3: Additional Applications of the Derivative
3.1 Increasing and Decreasing Functions; Relative Extrema
3.2 Concavity and Points of Inflection
3.3 Curve Sketching
3.4 Optimization; Elasticity of Demand
3.5 Additional Applied Optimization
Chapter 4: Exponential and Logarithmic Functions
4.1 Exponential Functions; Continuous Compounding
4.2 Logarithmic Functions
4.3 Differentiation of Exponential and Logarithmic Functions
4.4 Additional Applications; Exponential Models
Chapter 5: Integration
5.1 Indefinite Integration and Differential Equations
5.2 Integration by Substitution
5.3 The Definite Integral and the Fundamental Theorem of Calculus
5.4 Applying Definite Integration: Distribution of Wealth and Average Value
5.5 Additional Applications to Business and Economics
5.6 Additional Applications to the Life and Social Sciences
Chapter 6: Additional Topics in Integration
6.1 Integration by Parts; Integral Tables
6.2 Numerical Integration
6.3 Improper Integrals
Chapter 7: Calculus of Several Variables
7.1 Functions of Several Variables
7.2 Partial Derivatives
7.3 Optimizing Functions of Two Variables
7.4 The Method of Least-Squares
7.5 Constrained Optimization: The Method of Lagrange Multipliers
7.6 Double Integrals
Chapter 8: Trigonometric Functions
8.1 Angle Measurement; Trigonometric Functions
8.2 Trigonometric Applications Involving Differentiation
8.3 Trigonometric Applications Involving Integration
Chapter 9: Differential Equations
9.1 Modeling with Differential Equations
9.2 First-Order Linear Differential Equations
9.3 Additional Applications of Differential Equations
9.4 Approximate Solutions of Differential Equations
9.5 Difference Equations; The Cobweb Model
Chapter 10: Infinite Series and Taylor Series Approximations
10.1 Infinite Series; Geometric Series
10.2 Tests for Convergence
10.3 Functions as Power Series; Taylor Series
Chapter 11: Probability and Calculus
11.1 Introduction to Probability; Discrete Random Variables
11.2 Continuous Probability Distributions
11.3 Expected Value and Variance of Continuous Random Variables
10.4 Normal and Poisson Probability Distributions
Appendix A: Algebra Review
A.1 A Brief Review of Algebra
A.2 Factoring Polynomials and Solving Systems of Equations
A.3 Evaluating Limits with L'Hopital's Rule
A.4 The Summation Notation
Chapter 1: Functions, Graphs, and Limits
1.1Functions
1.2The Graph of a Function
1.3Lines and Linear Functions
1.4Functional Models
1.5Limits
1.6One-Sided Limits and Continuity
Chapter 2: Differentiation: Basic Concepts
2.1The Derivative
2.2Techniques of Differentiation
2.3Product and Quotient Rules; Higher-Order Derivatives
2.4The Chain Rule
2.5Marginal Analysis and Approximations Using Increments
2.6Implicit Differentiation and Related Rates
Chapter 3: Additional Applications of the Derivative
3.1 Increasing and Decreasing Functions; Relative Extrema
3.2 Concavity and Points of Inflection
3.3 Curve Sketching
3.4 Optimization; Elasticity of Demand
3.5 Additional Applied Optimization
Chapter 4: Exponential and Logarithmic Functions
4.1 Exponential Functions; Continuous Compounding
4.2 Logarithmic Functions
4.3 Differentiation of Exponential and Logarithmic Functions
4.4 Additional Applications; Exponential Models
Chapter 5: Integration
5.1 Indefinite Integration and Differential Equations
5.2 Integration by Substitution
5.3 The Definite Integral and the Fundamental Theorem of Calculus
5.4 Applying Definite Integration: Distribution of Wealth and Average Value
5.5 Additional Applications to Business and Economics
5.6 Additional Applications to the Life and Social Sciences
Chapter 6: Additional Topics in Integration
6.1 Integration by Parts; Integral Tables
6.2 Numerical Integration
6.3 Improper Integrals
Chapter 7: Calculus of Several Variables
7.1 Functions of Several Variables
7.2 Partial Derivatives
7.3 Optimizing Functions of Two Variables
7.4 The Method of Least-Squares
7.5 Constrained Optimization: The Method of Lagrange Multipliers
7.6 Double Integrals
Chapter 8: Trigonometric Functions
8.1 Angle Measurement; Trigonometric Functions
8.2 Trigonometric Applications Involving Differentiation
8.3 Trigonometric Applications Involving Integration
Chapter 9: Differential Equations
9.1 Modeling with Differential Equations
9.2 First-Order Linear Differential Equations
9.3 Additional Applications of Differential Equations
9.4 Approximate Solutions of Differential Equations
9.5 Difference Equations; The Cobweb Model
Chapter 10: Infinite Series and Taylor Series Approximations
10.1 Infinite Series; Geometric Series
10.2 Tests for Convergence
10.3 Functions as Power Series; Taylor Series
Chapter 11: Probability and Calculus
11.1 Introduction to Probability; Discrete Random Variables
11.2 Continuous Probability Distributions
11.3 Expected Value and Variance of Continuous Random Variables
10.4 Normal and Poisson Probability Distributions
Appendix A: Algebra Review
A.1 A Brief Review of Algebra
A.2 Factoring Polynomials and Solving Systems of Equations
A.3 Evaluating Limits with L'Hopital's Rule
A.4 The Summation Notation
1.1Functions
1.2The Graph of a Function
1.3Lines and Linear Functions
1.4Functional Models
1.5Limits
1.6One-Sided Limits and Continuity
Chapter 2: Differentiation: Basic Concepts
2.1The Derivative
2.2Techniques of Differentiation
2.3Product and Quotient Rules; Higher-Order Derivatives
2.4The Chain Rule
2.5Marginal Analysis and Approximations Using Increments
2.6Implicit Differentiation and Related Rates
Chapter 3: Additional Applications of the Derivative
3.1 Increasing and Decreasing Functions; Relative Extrema
3.2 Concavity and Points of Inflection
3.3 Curve Sketching
3.4 Optimization; Elasticity of Demand
3.5 Additional Applied Optimization
Chapter 4: Exponential and Logarithmic Functions
4.1 Exponential Functions; Continuous Compounding
4.2 Logarithmic Functions
4.3 Differentiation of Exponential and Logarithmic Functions
4.4 Additional Applications; Exponential Models
Chapter 5: Integration
5.1 Indefinite Integration and Differential Equations
5.2 Integration by Substitution
5.3 The Definite Integral and the Fundamental Theorem of Calculus
5.4 Applying Definite Integration: Distribution of Wealth and Average Value
5.5 Additional Applications to Business and Economics
5.6 Additional Applications to the Life and Social Sciences
Chapter 6: Additional Topics in Integration
6.1 Integration by Parts; Integral Tables
6.2 Numerical Integration
6.3 Improper Integrals
Chapter 7: Calculus of Several Variables
7.1 Functions of Several Variables
7.2 Partial Derivatives
7.3 Optimizing Functions of Two Variables
7.4 The Method of Least-Squares
7.5 Constrained Optimization: The Method of Lagrange Multipliers
7.6 Double Integrals
Chapter 8: Trigonometric Functions
8.1 Angle Measurement; Trigonometric Functions
8.2 Trigonometric Applications Involving Differentiation
8.3 Trigonometric Applications Involving Integration
Chapter 9: Differential Equations
9.1 Modeling with Differential Equations
9.2 First-Order Linear Differential Equations
9.3 Additional Applications of Differential Equations
9.4 Approximate Solutions of Differential Equations
9.5 Difference Equations; The Cobweb Model
Chapter 10: Infinite Series and Taylor Series Approximations
10.1 Infinite Series; Geometric Series
10.2 Tests for Convergence
10.3 Functions as Power Series; Taylor Series
Chapter 11: Probability and Calculus
11.1 Introduction to Probability; Discrete Random Variables
11.2 Continuous Probability Distributions
11.3 Expected Value and Variance of Continuous Random Variables
10.4 Normal and Poisson Probability Distributions
Appendix A: Algebra Review
A.1 A Brief Review of Algebra
A.2 Factoring Polynomials and Solving Systems of Equations
A.3 Evaluating Limits with L'Hopital's Rule
A.4 The Summation Notation