Applied CALC

Created through a student-tested, faculty-approved review process "Applied CALC" is an engaging and accessible solution to accommodate the diverse lifestyles of today's learners at a value-based price. 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. Straightforward language and writing style promote conceptual understanding, and the incorporation of real-life applications, examples, and data helps engage students - even those with minimal interest in mathematics. An innovative combination of content delivery both in print and online provides a core text and a wealth of comprehensive multimedia teaching and learning assets, including end-of-chapter review cards, downloadable flashcards and practice problems, online video tutorials, solutions to exercises aimed at supplementing learning outside of the classroom.

Table of Contents:
1. FUNCTIONS AND LINEAR MODELS. 1.1 Functions. Function Notation. Graphs of Functions. Domain and Range. Exercises. 1.2 Linear Functions. Intercepts. Linear Equations. Finding the Equation of a Line. Other Forms of Linear Equations. Graphing Linear Functions. Exercises. 2. NONLINEAR MODELS. 2.1 Quadratic Function Models. Exercises. 2.2 Exponential Function Models. Exponential Function Graphs. Properties of Exponents. Finding an Exponential Function from a Table. Using Exponential Regression to Model Data. Finding an Exponential Function from a Verbal Description. Exercises. 3. THE DERIVATIVE. 3.1 Average Rate of Change. Graphical Interpretation of the Difference Quotient. Exercises. 3.2 Limits and Instantaneous Rates of Change. Limits. Exercises. 3.3 The Derivative as a Slope: Graphical Methods. Tangent-Line Approximations. Numerical Derivatives. Exercises. 3.4 The Derivative as a Function: Algebraic Method. Estimating Derivatives. Exercises. 3.5 Interpreting the Derivative. Exercises. 4. DIFFERENTIATION TECHNIQUES. 4.1 Basic Derivative Rules. Derivative Notation. The Constant Rule. The Power Rule. Constant Multiple Rule. Sum and Difference Rule. Exercises. 4.2 The Product and Quotient Rules. Exercises. 4.3 The Chain Rule. Composition of Functions. The Chain Rule. Chain Rule: Alternative Form. Exercises. 4.4 Exponential and Logarithmic Rules. Exponential Rule. Logarithmic Rule. Exercises. 4.5 Implicit Differentiation. Exercises. 5. DERIVATIVE APPLICATIONS. 5.1 Maxima and Minima. Continuity. Relative and Absolute Extrema. Critical Values. The First Derivative Test. Exercises. 5.2 Applications of Maxima and Minima. Revenue, Cost, and Profit. Area and Volume. Exercises. 5.3 Concavity and the Second Derivative. Concavity. The Second Derivative Test. Point of Diminishing Returns. Position, Velocity, and Acceleration. Curve Sketching. Exercises. 5.4 Related Rates. Exercises. 6. THE INTEGRAL. 6.1 Indefinite Integrals. Basic Integration Rules. Indefinite Integral Applications. Exercises. 6.2 Integration by Substitution. Differentials. Integration by Substitution. Exercises. 6.3 Using Sums to Approximate Area. Exercises. 6.4 The Definite Integral. Summation Notation. The Definite Integral. Definite Integral Properties. Exercises. 6.5 The Fundamental Theorem of Calculus. Changing Limits of Integration. Exercises. 7. ADVANCED INTEGRATION TECHNIQUES AND APPLICATIONS. 7.1 Integration by Parts. Exercises. 7.2 Area Between Two Curves. Difference of Accumulated Changes. Exercises. 7.3 Differential Equations and Applications. Newton's Law of Heating and Cooling. Exercises. 7.4 Differential Equations: Limited Growth and Logistic Growth Models. Limited Growth Model. Logistic Growth Model. Exercises. 8. MULTIVARIABLE FUNCTIONS AND PARTIAL DERIVATIVES. 8.1 Multivariable Functions. Exercises. 8.2 Partial Derivatives. Cross Sections of a Surface. Second-Order Partial Derivatives. Exercises. 8.3 Multivariable Maxima and Minima. Exercises. 8.4 Constrained Maxima and Minima and Applications. Graphical Interpretation of Constrained Optimization Problems. Exercises.

About the Author :
Frank Wilson is an award-winning textbook author whose passion is helping students see how to apply mathematics in their personal lives. Frank shares his passion with colleagues worldwide through engaging workshops, keynote presentations, journal articles, and curricular materials. He holds B.S. and M.S. degrees in Mathematics from Brigham Young University and expects to complete his Ph.D. in Business Administration (Business Quantitative Methods) in 2013. Wilson is the recipient of numerous awards including the Calculus Division Instructor of the Year Award, Make Their Day Staff Award, and Faculty Excellence Award. He is a dynamic speaker, and regularly presents his innovative teaching techniques at national and affiliate conferences of the American Mathematical Association of Two-Year Colleges.

Review :
1. FUNCTIONS AND LINEAR MODELS. 1.1 Functions. Function Notation. Graphs of Functions. Domain and Range. Exercises. 1.2 Linear Functions. Intercepts. Linear Equations. Finding the Equation of a Line. Other Forms of Linear Equations. Graphing Linear Functions. Exercises. 2. NONLINEAR MODELS. 2.1 Quadratic Function Models. Exercises. 2.2 Exponential Function Models. Exponential Function Graphs. Properties of Exponents. Finding an Exponential Function from a Table. Using Exponential Regression to Model Data. Finding an Exponential Function from a Verbal Description. Exercises. 3. THE DERIVATIVE. 3.1 Average Rate of Change. Graphical Interpretation of the Difference Quotient. Exercises. 3.2 Limits and Instantaneous Rates of Change. Limits. Exercises. 3.3 The Derivative as a Slope: Graphical Methods. Tangent-Line Approximations. Numerical Derivatives. Exercises. 3.4 The Derivative as a Function: Algebraic Method. Estimating Derivatives. Exercises. 3.5 Interpreting the Derivative. Exercises. 4. DIFFERENTIATION TECHNIQUES. 4.1 Basic Derivative Rules. Derivative Notation. The Constant Rule. The Power Rule. Constant Multiple Rule. Sum and Difference Rule. Exercises. 4.2 The Product and Quotient Rules. Exercises. 4.3 The Chain Rule. Composition of Functions. The Chain Rule. Chain Rule: Alternative Form. Exercises. 4.4 Exponential and Logarithmic Rules. Exponential Rule. Logarithmic Rule. Exercises. 4.5 Implicit Differentiation. Exercises. 5. DERIVATIVE APPLICATIONS. 5.1 Maxima and Minima. Continuity. Relative and Absolute Extrema. Critical Values. The First Derivative Test. Exercises. 5.2 Applications of Maxima and Minima. Revenue, Cost, and Profit. Area and Volume. Exercises. 5.3 Concavity and the Second Derivative. Concavity. The Second Derivative Test. Point of Diminishing Returns. Position, Velocity, and Acceleration. Curve Sketching. Exercises. 5.4 Related Rates. Exercises. 6. THE INTEGRAL. 6.1 Indefinite Integrals. Basic Integration Rules. Indefinite Integral Applications. Exercises. 6.2 Integration by Substitution. Differentials. Integration by Substitution. Exercises. 6.3 Using Sums to Approximate Area. Exercises. 6.4 The Definite Integral. Summation Notation. The Definite Integral. Definite Integral Properties. Exercises. 6.5 The Fundamental Theorem of Calculus. Changing Limits of Integration. Exercises. 7. ADVANCED INTEGRATION TECHNIQUES AND APPLICATIONS. 7.1 Integration by Parts. Exercises. 7.2 Area Between Two Curves. Difference of Accumulated Changes. Exercises. 7.3 Differential Equations and Applications. Newton's Law of Heating and Cooling. Exercises. 7.4 Differential Equations: Limited Growth and Logistic Growth Models. Limited Growth Model. Logistic Growth Model. Exercises. 8. MULTIVARIABLE FUNCTIONS AND PARTIAL DERIVATIVES. 8.1 Multivariable Functions. Exercises. 8.2 Partial Derivatives. Cross Sections of a Surface. Second-Order Partial Derivatives. Exercises. 8.3 Multivariable Maxima and Minima. Exercises. 8.4 Constrained Maxima and Minima and Applications. Graphical Interpretation of Constrained Optimization Problems. Exercises.