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Finite mathematics for business, economics, life sciences, and social sciences.

Author: Raymond A Barnett; Michael R Ziegler; Karl E Byleen
Publisher: Upper Saddle River, N.J. : Prentice Hall, ©2002.
Edition/Format:   Print book : English : 9th ed.View all editions and formats
Summary:

This mid-level text covers mathematics of finance, linear algebra, linear programming, probability, and descriptive statistics, with an emphasis on cross-discipline principles and practices. Coverage  Read more...

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Details

Document Type: Book
All Authors / Contributors: Raymond A Barnett; Michael R Ziegler; Karl E Byleen
ISBN: 0130338400 9780130338402
OCLC Number: 45270405
Notes: Includes indexes.
Description: 1 volume (various pagings) : illustrations ; 27 cm
Contents: Part One. A Library of Elementary Functions --
1. Linear Equations and Graphs --
1.1. Linear Equations and Inequalities --
1.2. Graphs and Lines --
1.3. Linear Regression --
2. Functions and Graphs --
2.1. Functions --
2.2. Elementary Functions: Graphs and Transformations --
2.3. Quadratic Functions --
2.4. Exponential Functions --
2.5. Logarithmic Functions --
Part Two. Finite Mathematics --
3. Mathematics of Finance --
3.1. Simple Interest --
3.2. Compound and Continuous Compound Interest --
3.3. Future Value of an Annuity Sinking Funds --
3.4. Present Value of an Annuity Amortization --
4. Systems of Linear Equations Matrices --
4.1. Review: Systems of Linear Equations in Two Variables --
4.2. Systems of Linear Equations and Augmented Matrices --
4.3. Gauss-Jordan Elimination --
4.4. Matrices: Basic Operations --
4.5. Inverse of a Square Matrix --
4.6. Matrix Equations and Systems of Linear Equations --
4.7. Leontief Input-Output Analysis --
5. Linear Inequalities and Linear Programming --
5.1. Inequalities in Two Variables --
5.2. Systems ofLinear Inequalities in Two Variables --
5.3. Linear Programming in Two Dimensions: A Geometric Approach --
6. Linear Programming: Simplex Method --
6.1. A Geometric Introduction to the Simplex Method --
6.2. The Simplex Method: Maximization with Problem Constraints of the Form --
6.3. The Dual Minimization with Problem Constraints of the Form --
6.4. Maximization and Minimization with Mixed Problem Constraints --
7. Logic, Sets, and Counting --
7.1. Logic --
7.2. Sets --
7.3. Basic Counting Principles --
7.4. Permutations and Combinations --
8. Probability --
8.1. Sample Spaces, Events, and Probability --
8.2. Union, Intersection, and Complement of Events Odds --
8.3. Conditional Probability, Intersection, and Independence --
8.4. Bayes' Formula --
8.5. Random Variable, Probability Distribution, and Expected Value --
9. Markov Chains --
9.1. Properties of Markov Chains --
9.2. Regular Markov Chains --
9.3. Absorbing Markov Chains --
10. Games and Decisions --
10.1. Strictly Determined Games --
10.2. Mixed Strategy Games --
10.3. Linear Programming and 2 ¥ 2 Games: Geometric Approach --
10.4. Linear Programming and m ¥ n Games: Simplex Method and the Dual Problem --
11. Data Description and Probability Distributions --
11.1. Graphing Data --
11.2. Measures of Central Tendency --
11.3. Measures of Dispersion --
11.4. Bernoulli Trials and Binomial Distributions --
11.5. Normal Distributions --
Appendix A. Basic Algebra Review --
Appendix B. Special Topics --
Appendix C. Tables.
Other Titles: Finite mathematics

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