Finite Mathematics and Its Application
International Edition
9th Edition
Published on 16. March 2006
Book
Paperback/Softback
736 pages
978-0-13-238665-4 (ISBN)
Description
A "tried and true" favorite of both students and instructors alike, this text offers extremely readable coverage of the principles of finite mathematics and their applications in business, social science, and the life sciences. Topics are presented in a straightforward, interesting manner, with considerable attention given to the applications of the mathematics. The goal is for the students' mathematical maturity and appreciation for the usefulness of mathematics to grow simultaneously. Many sections contain specially designed technology exercises.
More details
Edition
9th edition
Language
English
Place of publication
United States
Publishing group
Pearson Education (US)
Target group
Professional and scholarly
Dimensions
Height: 254 mm
Width: 204 mm
Thickness: 27 mm
Weight
1266 gr
ISBN-13
978-0-13-238665-4 (9780132386654)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
New editions
Larry J. Goldstein | David I. Schneider | Martha J. Siegel
Finite Mathematics & Its Applications
Book
03/2009
10th Edition
Pearson
€113.88
Article exhausted; check for reprint
Previous edition
Larry J. Goldstein | David I. Schneider | Martha J. Siegel
Finite Mathematics and Its Applications
Book
04/2003
8th Edition
Pearson
€59.41
Article exhausted; check for reprint
Content
Preface
Index of Applications
Chapter 1 Linear Equations and Straight Lines
1.1 Coordinate Systems and Graphs
1.2 Linear Inequalities
1.3 The Intersection Point of a Pair of Lines
1.4 The Slope of a Straight Line
1.5 The Method of Least Squares
Chapter Project: Break-even Analysis
Chapter 2 Matrices
2.1 Solving Systems of Linear Equations, I
2.2 Solving Systems of Linear Equations, II
2.3 Arithmetic Operations on Matrices
2.4 The Inverse of a Matrix
2.5 The Gauss-Jordan Method for Calculating Inverses
2.6 Input-Output Analysis
Chapter Project: Population Dynamics
Chapter 3 Linear Programming, A Geometric Approach
3.1 A Linear Programming Problem
3.2 Linear Programming, I
3.3 Linear Programming, II
Chapter Project: Shadow Prices
Chapter 4 The Simplex Method
4.1 Slack Variables and the Simplex Tableau
4.2 The Simplex Method, I: Maximum Problems
4.3 The Simplex Method, II: Minimum Problems
4.4 Sensitivity Analysis and Matrix Formulations of Linear Programming Problems
4.5 Duality
Chapter Project: Shadow Prices
Chapter 5 Sets and Counting
5.1 Sets
5.2 A Fundamental Principle of Counting
5.3 Venn Diagrams and Counting
5.4 The Multiplication Principle
5.5 Permutations and Combinations
5.6 Further Counting Problems
5.7 The Binomial Theorem
5.8 Multinomial Coefficients and Partitions
Chapter Project: Pascal's Triangle
Chapter 6 Probability
6.1 Introduction
6.2 Experiments, Outcomes, and Events
6.3 Assignment of Probabilities
6.4 Calculating Probabilities of Events
6.5 Conditional Probability and Independence
6.6 Tree Diagrams
6.7 Bayes' Theorem
6.8 Simulation
Chapter Project: Two Paradoxes
Chapter 7 Probability and Statistics
7.1 Representation of Data
7.2 Frequency and Probability Distributions
7.3 Binomial Trials
7.4 The Mean
7.5 The Variance and Standard Deviation
7.6 The Normal Distribution
7.7 Normal Approximation to the Binomial Distribution
Chapter Project: An Unexpected Expected Value
Chapter 8 Markov Processes
8.1 The Transition Matrix
8.2 Regular Stochastic Matrices
8.3 Absorbing Stochastic Matrices
Chapter Project: Doubly Stochastic Matrices
Chapter 9 The Theory of Games
9.1 Games and Strategies
9.2 Mixed Strategies
9.3 Determining Optimal Mixed Strategies
Chapter Project: Simulating the Outcomes of Mixed-Strategy Games
Chapter 10 The Mathematics of Finance
10.1 Interest
10.2 Annuities
10.3 Amortization of Loans
10.4 Personal Financial Decisions
Chapter Project: Two Items of Interest
Chapter 11 Difference Equations and Mathematical Models
11.1 Introduction to Difference Equations, I
11.2 Introduction to Difference Equations, II
11.3 Graphing Difference Equations
11.4 Mathematics of Personal Finance
11.5 Modelling with Difference Equations
Chapter Project: Connections to Markov Processes
Chapter 12 Logic
12.1 Introduction to Logic
12.2 Truth Tables
12.3 Implication
12.4 Logical Implication and Equivalence
12.5 Valid Argument
12.6 Predicate Calculus
12.7 Logic Circuits
Chapter Project: A Logic Puzzle
Appendix A Tables
Appendix B Using the TI-83, TI-83 Plus, and TI-84 Plus Graphing Calculators
Appendix C Spreadsheet Fundamentals
Appendix D Using the TI-89 Graphing Calculators
Answers to Odd-Numbered Exercises
Solutions to Selected Exercises
Index
Index of Applications
Chapter 1 Linear Equations and Straight Lines
1.1 Coordinate Systems and Graphs
1.2 Linear Inequalities
1.3 The Intersection Point of a Pair of Lines
1.4 The Slope of a Straight Line
1.5 The Method of Least Squares
Chapter Project: Break-even Analysis
Chapter 2 Matrices
2.1 Solving Systems of Linear Equations, I
2.2 Solving Systems of Linear Equations, II
2.3 Arithmetic Operations on Matrices
2.4 The Inverse of a Matrix
2.5 The Gauss-Jordan Method for Calculating Inverses
2.6 Input-Output Analysis
Chapter Project: Population Dynamics
Chapter 3 Linear Programming, A Geometric Approach
3.1 A Linear Programming Problem
3.2 Linear Programming, I
3.3 Linear Programming, II
Chapter Project: Shadow Prices
Chapter 4 The Simplex Method
4.1 Slack Variables and the Simplex Tableau
4.2 The Simplex Method, I: Maximum Problems
4.3 The Simplex Method, II: Minimum Problems
4.4 Sensitivity Analysis and Matrix Formulations of Linear Programming Problems
4.5 Duality
Chapter Project: Shadow Prices
Chapter 5 Sets and Counting
5.1 Sets
5.2 A Fundamental Principle of Counting
5.3 Venn Diagrams and Counting
5.4 The Multiplication Principle
5.5 Permutations and Combinations
5.6 Further Counting Problems
5.7 The Binomial Theorem
5.8 Multinomial Coefficients and Partitions
Chapter Project: Pascal's Triangle
Chapter 6 Probability
6.1 Introduction
6.2 Experiments, Outcomes, and Events
6.3 Assignment of Probabilities
6.4 Calculating Probabilities of Events
6.5 Conditional Probability and Independence
6.6 Tree Diagrams
6.7 Bayes' Theorem
6.8 Simulation
Chapter Project: Two Paradoxes
Chapter 7 Probability and Statistics
7.1 Representation of Data
7.2 Frequency and Probability Distributions
7.3 Binomial Trials
7.4 The Mean
7.5 The Variance and Standard Deviation
7.6 The Normal Distribution
7.7 Normal Approximation to the Binomial Distribution
Chapter Project: An Unexpected Expected Value
Chapter 8 Markov Processes
8.1 The Transition Matrix
8.2 Regular Stochastic Matrices
8.3 Absorbing Stochastic Matrices
Chapter Project: Doubly Stochastic Matrices
Chapter 9 The Theory of Games
9.1 Games and Strategies
9.2 Mixed Strategies
9.3 Determining Optimal Mixed Strategies
Chapter Project: Simulating the Outcomes of Mixed-Strategy Games
Chapter 10 The Mathematics of Finance
10.1 Interest
10.2 Annuities
10.3 Amortization of Loans
10.4 Personal Financial Decisions
Chapter Project: Two Items of Interest
Chapter 11 Difference Equations and Mathematical Models
11.1 Introduction to Difference Equations, I
11.2 Introduction to Difference Equations, II
11.3 Graphing Difference Equations
11.4 Mathematics of Personal Finance
11.5 Modelling with Difference Equations
Chapter Project: Connections to Markov Processes
Chapter 12 Logic
12.1 Introduction to Logic
12.2 Truth Tables
12.3 Implication
12.4 Logical Implication and Equivalence
12.5 Valid Argument
12.6 Predicate Calculus
12.7 Logic Circuits
Chapter Project: A Logic Puzzle
Appendix A Tables
Appendix B Using the TI-83, TI-83 Plus, and TI-84 Plus Graphing Calculators
Appendix C Spreadsheet Fundamentals
Appendix D Using the TI-89 Graphing Calculators
Answers to Odd-Numbered Exercises
Solutions to Selected Exercises
Index