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Finite Mathematics and Its Applications

ISBN-10: 0321571894

ISBN-13: 9780321571892

Edition: 10th 2010

Authors: Larry J. Goldstein, David I. Schneider, Martha J. Siegel

List price: $176.00
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Description:

Normal 0 false false false Goldsteinrsquo;sFinite Mathematics, Tenth Editionis a comprehensive print and online program for readers interested in business, economics, life science, or social sciences. Without sacrificing mathematical integrity, the book clearly presents the concepts in a flexible content sequence with a large quantity of exceptional, in-depth exercise sets. The textbook is supported by a wide array of supplements as well as MyMathLab reg; and MathXL reg; , the most widely adopted and acclaimed online homework and assessment system on the market. Linear Equations and Straight Lines; Matrices; Linear Programming, A Geometric Approach; The Simplex Method; Sets and Counting; Probability; Probability and Statistics; Markov Processes; The Theory of Games; The Mathematics of Finance; Difference Equations and Mathematical Models; Logic For all readers interested in finite mathematics.
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Book details

List price: $176.00
Edition: 10th
Copyright year: 2010
Publisher: Prentice Hall PTR
Publication date: 12/28/2008
Binding: Hardcover
Pages: 688
Size: 8.00" wide x 10.00" long x 1.25" tall
Weight: 3.080
Language: English

Goldstein-Villanova University

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Preface
Index of Applications
Linear Equations and Straight Lines
Coordinate Systems and Graphs
Linear Inequalities
The Intersection Point of a Pair of Lines
The Slope of a Straight Line
The Method of Least Squares
Break-even Analysis
Matrices
Solving Systems of Linear Equations, I
Solving Systems of Linear Equations, II
Arithmetic Operations on Matrices
The Inverse of a Matrix
The Gauss-Jordan Method for Calculating Inverses
Input-Output Analysis
Population Dynamics
Linear Programming, A Geometric Approach
A Linear Programming Problem
Linear Programming, I
Linear Programming, II
Shadow Prices
The Simplex Method
Slack Variables and the Simplex Tableau
The Simplex Method, I: Maximum Problems
The Simplex Method, II: Minimum Problems
Sensitivity Analysis and Matrix Formulations of Linear Programming Problems
Duality
Shadow Prices
Sets and Counting
Sets
A Fundamental Principle of Counting
Venn Diagrams and Counting
The Multiplication Principle
Permutations and Combinations
Further Counting Problems
The Binomial Theorem
Multinomial Coefficients and Partitions
Pascal's Triangle
Probability
Introduction
Experiments, Outcomes, Samples and Events
Assignment of Probabilities
Calculating Probabilities of Events
Conditional Probability and Independence
Tree Diagrams
Bayes' Theorem
Simulation
Two Paradoxes
Probability and Statistics
Representation of Data
Frequency and Probability Distributions
Binomial Trials
The Mean
The Variance and Standard Deviation
The Normal Distribution
Normal Approximation to the Binomial Distribution
An Unexpected Expected Value
Markov Processes