Finite Mathematics 14th Edition Pdf

For one-semester courses in Finite Mathematics.

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Finite Mathematics for Business, Economics, Life Sciences, and Social Sciences, 14th Edition�offers more built-in guidance than any other text for this course with special emphasis on applications and prerequisite skills and a host of student-friendly features to help students catch up or learn on their own. The texts emphasis on helping students get the idea is enhanced in the new edition by a design refresh, updated data and applications, and a robust MyLab Math course.

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I. A LIBRARY OF ELEMENTARY FUNCTIONS

1. Functions and Graphs

1.1 Functions

1.2 Elementary Functions: Graphs and Transformations

1.3 Quadratic Functions

1.4 Polynomial and Rational Functions

1.5 Exponential Functions

1.6 Logarithmic Functions

Chapter 1 Summary and Review

Review Exercises

II. FINITE MATHEMATICS

2. Mathematics of Finance

2.1 Simple Interest

2.2 Compound and Continuous Compound Interest

2.3 Future Value of an Annuity; Sinking Funds

2.4 Present Value of an Annuity; Amortization

Chapter 2 Summary and Review

Review Exercises

3. Systems of Linear Equations; Matrices

3.1 Review: Systems of Linear Equations in Two Variables

3.2 Systems of Linear Equations and Augmented Matrices

3.3 GaussJordan Elimination

3.4 Matrices: Basic Operations

3.5 Inverse of a Square Matrix

3.6 Matrix Equations and Systems of Linear Equations

3.7 Leontief InputOutput Analysis

Chapter 3 Summary and Review

Review Exercises

4. Linear Inequalities and Linear Programming

4.1 Linear Inequalities in Two Variables

4.2 Systems of Linear Inequalities in Two Variables

4.3 Linear Programming in Two Dimensions: A Geometric Approach

Chapter 4 Summary and Review

Review Exercises

5. Linear Programming: The Simplex Method

5.1 The Table Method: An Introduction to the Simplex Method

5.2 The Simplex Method: Maximization with Problem Constraints of the Form

5.3 The Dual Problem: Minimization with Problem Constraints of the Form

5.4 Maximization and Minimization with Mixed Problem Constraints

Chapter 5 Summary and Review

Review Exercises

6. Logic, Sets, and Counting

6.1 Logic

6.2 Sets

6.3 Basic Counting Principles

6.4 Permutations and Combinations

Chapter 6 Summary and Review

Review Exercises

7. Probability

7.1 Sample Spaces, Events, and Probability

7.2 Union, Intersection, and Complement of Events; Odds

7.3 Conditional Probability, Intersection, and Independence

7.4 Bayes Formula

7.5 Random Variable, Probability Distribution, and Expected Value

Chapter 7 Summary and Review

Review Exercises

8. Markov Chains

8.1 Properties of Markov Chains

8.2 Regular Markov Chains

8.3 Absorbing Markov Chains

Chapter 8 Summary and Review

Review Exercises

9. Data Description and...