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Normal 0 false false false Goldsteinrs"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.
Larry Goldstein has received several distinguished teaching awards, given more than fifty Conference and Colloquium talks & addresses, and written more than fifty books in math and computer programming. He received his PhD at Princeton and his BA and MA at the University of Pennsylvania. He also teaches part time at Drexel University.
David Schneider, who is known widely for his tutorial software, holds a BA degree from Oberlin College and a PhD from MIT. He is currently an associate professor of mathematics at the University of Maryland. He has authored eight widely used math texts, fourteen highly acclaimed computer books, and three widely used mathematics software packages. He has also produced instructional videotapes at both the University of Maryland and the BBC.
Martha Siegel holds a BA from Russell Sage College, attended Rensselear Polytechnic Institute as a special student, and received his PhD at the University of Rochester. From 1966 until 1971 she taught at Goucher University in Baltimore. Since 1971 she has been a professor at Towson State University, also in Maryland. Professor Siegel has been on the writing team of this book since the fifth edition and is also the co-author of a precalculus reform book.
Table of Contents
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Index of Applications
Linear Equations and Straight Lines
Coordinate Systems and Graphs
The Intersection Point of a Pair of Lines
The Slope of a Straight Line
The Method of Least Squares
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
Linear Programming, A Geometric Approach
A Linear Programming Problem
Linear Programming, I
Linear Programming, II
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
Sets and Counting
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
Experiments, Outcomes, Samples and Events
Assignment of Probabilities
Calculating Probabilities of Events
Conditional Probability and Independence
Probability and Statistics
Representation of Data
Frequency and Probability Distributions
The Variance and Standard Deviation
The Normal Distribution
Normal Approximation to the Binomial Distribution
An Unexpected Expected Value
Table of Contents provided by Publisher. All Rights Reserved.