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Klappentext Uses plain language to stress conceptual understanding! incorporating applications. 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 Zusammenfassung 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. Inhaltsverzeichnis Note: Each chapter concludes with a Study Sheet! Review Exercises! and a Make It Real Project.1. Functions and Linear Models1.1 Functions1.2 Linear Functions1.3 Linear Models2. Nonlinear Models2.1 Quadratic Function Models2.2 Higher Order Polynomial Function Models2.3 Exponential Function Models2.4 Logarithmic Function Models2.5 Choosing a Mathematical Model3. The Derivative3.1 Average Rate of Change3.2 Limits and Instantaneous Rates of Change3.3 Limits and Continuity3.4 The Derivative as a Slope: Graphical Method3.5 The Derivative as a Function: Algebraic Method3.6 Interpreting the Derivative4. Differentiation Techniques4.1 Basic Derivative Rules4.2 Product Rule4.3 Chain Rule4.4 Exponential and Logarithmic Rules4.5 Implicit Differentiation5. Derivative Applications5.1 Maxima and Minima5.2 Applica...
