Mathematical Applications, Seventh Edition
Ronald J. Harshbarger, University of South Carolina Beaufort
James J. Reynolds, Clarion University of Pennsylvania
Digital Lessons
Use these slide presentations to help teach your course. Print them out as class handouts, or display them using a computer monitor or a projector.
0.1 Sets
0.2 The Real Numbers
0.3 Integral Exponents
0.4 Radicals and Rational Exponents 0.5 Operations with Algebraic Expressions
0.6 Factoring
0.7 Algebraic Fractions
2.1 Quadratic Equations 2.2 Quadratic Functions; Parabolas
2.3 Business Applications of Quadratic Functions
2.4 Special Functions and Their Graphs
2.5 Modeling; Fitting Curves to Data with Graphing Utilities
Chapter 3 Matrices
3.1 Matrices
3.2 Multiplication of Matrices
3.3 Gauss-Jordan Elimination: Solving Systems of Equations
3.4 Inverse of a Square Matrix; Matrix Equations
3.5 Applications of Matrices: Leontief Input-Output Models
3.1 Matrices
Chapter 4 Inequalities and Linear Programming
4.1 Linear Inequalities in One Variable 4.2 Linear Inequalities in Two Variables 4.3 Linear Programming: Graphical Methods
4.4 The Simplex Method: Maximization
4.5 The Simplex Method: Duality and Minimization
4.6 The Simplex Method with Mixed Constraints
4.2 Graphing Linear Inequalities in Two Variables
4.3 Linear Programming
Chapter 5 Exponential and Logarithmic Functions
5.1 Exponential Functions
5.2 Logarithmic Functions and Their Properties
5.3 Solution of Exponential Equations; Applications of Exponential and Logarithmic Functions
Chapter 6 Mathematics of Finance
6.1 Simple Interest; Sequences
6.2 Compound Interest; Geometric Sequences
6.3 Future Value of Annuities
6.4 Present Value of Annuities
6.5 Loans and Amortization
Chapter 7 Introduction to Probability
7.1 Probability: Odds
7.2 Unions and Intersections of Events: One-Trial Experiments
7.3 Conditional Probability: the Product Rule
7.4 Probability Trees and Bayes' Formula
7.5 Counting: Permutations and Combinations
7.6 Permutations, Combinations, and Probability
7.7 Markov Chains
Chapter 8 Further Topics in Probability; Data Description
8.1 Binomial Probability Experiments
8.2 Data Description
8.3 Discrete Probability Distributions: Decision Making
8.4 The Binomial Distribution
8.5 Normal Probability Distribution
Chapter 9 Derivatives
9.1 Limits
9.2 Continuous Functions: Limits at Infinity
9.3 Average and Instantaneous Rates of Change: The Derivative
9.4 Derivative Formulas
9.5 The Product Rule and the Quotient Rule
9.6 The Chain Rule and the Power Rule
9.7 Using Derivative Formulas
9.8 Higher-Order Derivatives
9.9 Applications of Derivatives in Business and Economics
Chapter 10 Applications of Derivatives
10.1 Relative Maxima and Minima: Curve Sketching
10.2 Concavity: Points of Inflection
10.3 Optimization in Business and Economics
10.4 Applications of Maxima and Minima
10.5 Asymptotes; More Curve Sketching
Chapter 11 Derivatives Continued
11.1 Derivatives of Logarithmic Functions
11.2 Derivatives of Exponential Functions
11.3 Implicit Differentiation
11.4 Related Rates
11.5 Applications in Business and Economics
Chapter 12 Indefinite Integrals
12.1 The Indefinite Integral
12.2 The Power Rule
12.3 Integrals Involving Exponential and Logarithmic Functions
12.4 Applications of the Indefinite Integral in Business and Economics
12.5 Differential Equations
Chapter 13 Definite Integrals; Techniques of Integration
13.1 Area Under a Curve
13.2 The Definite Integral: The Fundamental Theorem of Calculus
13.3 Area Between Two Curves
13.4 Applications of Definite Integrals in Business and Economics
13.5 Using Tables of Integrals
13.6 Integration by Parts
13.7 Improper Integrals and Their Applications
13.8 Numerical Integration Methods: Trapezoidal Rule and Simpson's Rule
Chapter 14 Functions of Two of More Variables
14.1 Functions of Two or More Variables
14.2 Partial Differentiation
14.3 Applications of Functions of Two Variables in Business and Economics
14.4 Maxima and Minima
14.5 Maxima and Minima of Functions Subject to Constraints: Lagrange Multipliers