College Mathematics for Business, Economics, Life Sciences and Social Sciences, 10th Edition
Raymond A. Barnett, Michael R. Ziegler, Karl E. Byleen
Prentice Hall
Chapter 1. A Beginning Library of Elementary Functions
Section 1 . Functions
Section 2 . Elementary Functions: Graphs and Transformations
Section 3 . Linear Functions and Straight Lines
Section 4 . Quadratic Functions
Chapter 2. Additional Elementary Functions
Section 1 . Polynomial and Rational Functions
Section 2 . Exponential Functions
Section 3 . Logarithmic Functions
Chapter 3. Mathematics of Finance
Section 1 . Simple Interest
Section 2 . Compound Interest
Section 3 . Future Value of an Annuity; Sinking Funds
Section 4 . Present Value of an Annuity; Amortization
Chapter 4. Systems of Linear Equations; Matrices
Section 1 . Review: Systems of Linear Equations in Two Variables
Section 2 . Systems of Linear Equations and Augmented Matrices
Section 3 . Gauss-Jordan Elimination
Section 4 . Matrices: Basic Operations
Section 5 . Inverse of a Square Matrix
Section 6 . Matrix Equations and Systems of Linear Equations
Section 7 . Leontief Input-Output Analysis
Chapter 5. Linear Inequalities and Linear Programming
Section 1 . Systems of Linear Inequalities in Two Variables
Section 2 . Linear Programming in Two Dimensions—A Geometric Approach
Section 3 . A Geometric Introduction to the Simplex Method
Section 4 . The Simplex Method: Maximization with Problem Constraints of the Form =
Section 5 . The Dual; Minimization with Problem Constraints of the Form =
Section 6 . Maximization and Minimization with Mixed Problem Constraints
Chapter 6. Logic, Sets, and Counting
Section 1 . Logic
Section 2 . Sets
Section 3 . Basic Counting Principles
Section 4 . Permutations and Combinations
Chapter 7. Probability
Section 1 . Sample Spaces, Events, and Probability
Section 2 . Union, Intersection, and Complement of Events; Odds
Section 3 . Conditional Probability, Intersection, and Independence
Section 4 . Bayes' Formula
Section 5 . Random Variable, Probability Distribution, and Expected Value
Chapter 8. Markov Chains
Section 1 . Properties of Markov Chains
Section 2 . Regular Markov Chains
Section 3 . Absorbing Markov Chains
Chapter 9. The Derivative
Section 1 . Introduction to Limits
Section 2 . Limits and Continuity
Section 3 . The Derivative
Section 4 . Derivative of Constants, Power Forms, and Sums
Section 5 . Derivatives of Products and Quotients
Section 6 . Chain Rule: Power Form
Section 7 . Marginal Analysis in Business and Economics
Chapter 10. Graphing and Optimization
Section 1 . First Derivative and Graphs
Section 2 . Second Derivative and Graphs
Section 3 . Curve Sketching Techniques; Unified and Extended
Section 4 . Absolute Maxima and Minima
Section 5 . Optimization
Chapter 11. Additional Derivative Topics
Section 1 . The Constant e and Continuous Compound Interest
Section 2 . Derivatives of Exponential Functions
Section 3 . Derivatives of Logarithmic Functions
Section 4 . Chain Rule: General Form
Section 5 . Implicit Differentiation
Section 6 . Related Rates
Chapter 12. Integration
Section 1 . Antiderivatives and Indefinite Integrals
Section 2 . Integration by Substitution
Section 3 . Differential Equations; Growth and Decay
Section 4 . The Definite Integral
Section 5 . The Fundamental Theorem of Calculus
Chapter 13. Additional Integration Topics
Section 1 . Area Between Curves
Section 2 . Applications in Business and Economics
Section 3 . Integration by Parts
Section 4 . Integration Using Tables
Chapter 14. Multivariable Calculus
Section 1 . Functions of Several Variables
Section 2 . Partial Derivatives
Section 3 . Maxima and Minima
Section 4 . Maxima and Minima Using Lagrange Multipliers
Section 5 . Method of Least Squares
Section 6 . Double Integrals Over Rectangular Regions