Applied Calculus: Student Text
Published on 1. June 2008
Book
Hardback
928 pages
978-0-618-61104-1 (ISBN)
Description
Geared toward business and social science majors, this text equips students with the analytical tools and technological skills they need to be successful in the workplace. Uncomplicated language and a straightforward writing style promote conceptual understanding. The incorporation of real-life applications, examples, and data analysis and interpretation helps engage students--even those with minimal interest in mathematics. For instructors who want to make mathematics meaningful to their students, Applied Calculus teaches rigorous concepts in manner that is accessible without cutting corners. Streamlined content allows instructors to cover the text in its entirety and maintains student interest. A range of technology resources--including CL MATHSpace, with access to textbook websites and course management tools--makes the process of teaching and learning dynamic, both in the classroom and online.
Geared toward business and social science majors, this text equips students with the analytical tools and technological skills they need to be successful in the workplace. Uncomplicated language and a straightforward writing style promote conceptual understanding. The incorporation of real-life applications, examples, and data analysis and interpretation helps engage students--even those with minimal interest in mathematics. For instructors who want to make mathematics meaningful to their students, Applied Calculus teaches rigorous concepts in manner that is accessible without cutting corners. Streamlined content allows instructors to cover the text in its entirety and maintains student interest. A range of technology resources--including CL MATHSpace, with access to textbook websites and course management tools--makes the process of teaching and learning dynamic, both in the classroom and online.
Geared toward business and social science majors, this text equips students with the analytical tools and technological skills they need to be successful in the workplace. Uncomplicated language and a straightforward writing style promote conceptual understanding. The incorporation of real-life applications, examples, and data analysis and interpretation helps engage students--even those with minimal interest in mathematics. For instructors who want to make mathematics meaningful to their students, Applied Calculus teaches rigorous concepts in manner that is accessible without cutting corners. Streamlined content allows instructors to cover the text in its entirety and maintains student interest. A range of technology resources--including CL MATHSpace, with access to textbook websites and course management tools--makes the process of teaching and learning dynamic, both in the classroom and online.
Reviews / Votes
Note: Each chapter concludes with a Study Sheet, Review Exercises, and a Make It Real Project. 1. Functions and Linear Models 1.1 Functions 1.2 Linear Functions 1.3 Linear Models 2. Nonlinear Models 2.1 Quadratic Function Models 2.2 Higher Order Polynomial Function Models 2.3 Exponential Function Models 2.4 Logarithmic Function Models 2.5 Choosing a Mathematical Model 3. The Derivative 3.1 Average Rate of Change 3.2 Limits and Instantaneous Rates of Change 3.3 Limits and Continuity 3.4 The Derivative as a Slope: Graphical Method 3.5 The Derivative as a Function: Algebraic Method 3.6 Interpreting the Derivative 4. Differentiation Techniques 4.1 Basic Derivative Rules 4.2 Product Rule 4.3 Chain Rule 4.4 Exponential and Logarithmic Rules 4.5 Implicit Differentiation 5. Derivative Applications 5.1 Maxima and Minima 5.2 Applications of Maxima and Minima 5.3 Concavity and the Second Derivative 5.4 Related Rates 6. The Integral 6.1 The Indefinite Integral 6.2 Integration by Substitution 6.3 Using Sums to Approximate Area 6.4 The Definite Integral 6.5 The Fundamental Theorem of Calculus 7. Advanced Integration Techniques and Applications 7.1 Integration by Parts 7.2 Area Between Two Curves 7.3 Improper Integrals 8. Multivariable Functions and Partial Derivatives 8.1 Multivariable Functions 8.2 Partial Derivatives 8.3 Multivariable Maxima and Minima 8.4 Constrained Maxima and Minima and Applications 9. Trigonometric Functions 9.1 Trigonometric Function Equations and Graphs 9.2 Derivatives of Trigonometric Functions 9.3 Integrals of Trigonometric Functions 10. Differential Equations 10.1 Slope Fields 10.2 Euler's Method 10.3 Separable Differential Equations and Applications 10.4 Differential Equations: Limited Growth and Logistic Models 10.5 First-Order Linear Differential Equations 11. Sequences and Series 11.1 Sequences 11.2 Series and Convergence 11.3 Taylor Polynomials 11.4 Taylor Series 12. Probability and Calculus 12.1 Discrete Probability 12.2 Continuous Probability 12.3 Expected Value and Variance 12.4 Normal DistributionNote: Each chapter concludes with a Study Sheet, Review Exercises, and a Make It Real Project. 1. Functions and Linear Models 1.1 Functions 1.2 Linear Functions 1.3 Linear Models 2. Nonlinear Models 2.1 Quadratic Function Models 2.2 Higher Order Polynomial Function Models 2.3 Exponential Function Models 2.4 Logarithmic Function Models 2.5 Choosing a Mathematical Model 3. The Derivative 3.1 Average Rate of Change 3.2 Limits and Instantaneous Rates of Change 3.3 Limits and Continuity 3.4 The Derivative as a Slope: Graphical Method 3.5 The Derivative as a Function: Algebraic Method 3.6 Interpreting the Derivative 4. Differentiation Techniques 4.1 Basic Derivative Rules 4.2 Product Rule 4.3 Chain Rule 4.4 Exponential and Logarithmic Rules 4.5 Implicit Differentiation 5. Derivative Applications 5.1 Maxima and Minima 5.2 Applications of Maxima and Minima 5.3 Concavity and the Second Derivative 5.4 Related Rates 6. The Integral 6.1 The Indefinite Integral 6.2 Integration by Substitution 6.3 Using Sums to Approximate Area 6.4 The Definite Integral 6.5 The Fundamental Theorem of Calculus 7. Advanced Integration Techniques and Applications 7.1 Integration by Parts 7.2 Area Between Two Curves 7.3 Improper Integrals 8. Multivariable Functions and Partial Derivatives 8.1 Multivariable Functions 8.2 Partial Derivatives 8.3 Multivariable Maxima and Minima 8.4 Constrained Maxima and Minima and Applications 9. Trigonometric Functions 9.1 Trigonometric Function Equations and Graphs 9.2 Derivatives of Trigonometric Functions 9.3 Integrals of Trigonometric Functions 10. Differential Equations 10.1 Slope Fields 10.2 Euler's Method 10.3 Separable Differential Equations and Applications 10.4 Differential Equations: Limited Growth and Logistic Models 10.5 First-Order Linear Differential Equations 11. Sequences and Series 11.1 Sequences 11.2 Series and Convergence 11.3 Taylor Polynomials 11.4 Taylor Series 12. Probability and Calculus 12.1 Discrete Probability 12.2 Continuous Probability 12.3 Expected Value and Variance 12.4 Normal Distribution
More details
Language
English
Place of publication
Boston
United States
Publishing group
Cengage Learning, Inc
Target group
College/higher education
Illustrations
4 colour illustrations
Dimensions
Height: 257 mm
Width: 208 mm
Thickness: 38 mm
Weight
1882 gr
ISBN-13
978-0-618-61104-1 (9780618611041)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Content
Note: Each chapter concludes with a Study Sheet, Review Exercises, and a Make It Real Project. 1. Functions and Linear Models 1.1 Functions 1.2 Linear Functions 1.3 Linear Models 2. Nonlinear Models 2.1 Quadratic Function Models 2.2 Higher Order Polynomial Function Models 2.3 Exponential Function Models 2.4 Logarithmic Function Models 2.5 Choosing a Mathematical Model 3. The Derivative 3.1 Average Rate of Change 3.2 Limits and Instantaneous Rates of Change 3.3 Limits and Continuity 3.4 The Derivative as a Slope: Graphical Method 3.5 The Derivative as a Function: Algebraic Method 3.6 Interpreting the Derivative 4. Differentiation Techniques 4.1 Basic Derivative Rules 4.2 Product Rule 4.3 Chain Rule 4.4 Exponential and Logarithmic Rules 4.5 Implicit Differentiation 5. Derivative Applications 5.1 Maxima and Minima 5.2 Applications of Maxima and Minima 5.3 Concavity and the Second Derivative 5.4 Related Rates 6. The Integral 6.1 The Indefinite Integral 6.2 Integration by Substitution 6.3 Using Sums to Approximate Area 6.4 The Definite Integral 6.5 The Fundamental Theorem of Calculus 7. Advanced Integration Techniques and Applications 7.1 Integration by Parts 7.2 Area Between Two Curves 7.3 Improper Integrals 8. Multivariable Functions and Partial Derivatives 8.1 Multivariable Functions 8.2 Partial Derivatives 8.3 Multivariable Maxima and Minima 8.4 Constrained Maxima and Minima and Applications 9. Trigonometric Functions 9.1 Trigonometric Function Equations and Graphs 9.2 Derivatives of Trigonometric Functions 9.3 Integrals of Trigonometric Functions 10. Differential Equations 10.1 Slope Fields 10.2 Euler's Method 10.3 Separable Differential Equations and Applications 10.4 Differential Equations: Limited Growth and Logistic Models 10.5 First-Order Linear Differential Equations 11. Sequences and Series 11.1 Sequences 11.2 Series and Convergence 11.3 Taylor Polynomials 11.4 Taylor Series 12. Probability and Calculus 12.1 Discrete Probability 12.2 Continuous Probability 12.3 Expected Value and Variance 12.4 Normal Distribution