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Finite Mathematics and Its Application text Only (9TH 07  Old Edition)by Larry J. Goldstein
Synopses & ReviewsPlease note that used books may not include additional media (study guides, CDs, DVDs, solutions manuals, etc.) as described in the publisher comments.
Publisher Comments:Goldstein’s Finite Mathematics, Tenth Edition is 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, indepth exercise sets. The textbook is supported by a wide array of supplements as well as MyMathLab^{®} and MathXL^{®}, 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. About the Author'
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 coauthor of a precalculus reform book.' Table of ContentsPreface Index of Applications
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: Breakeven Analysis
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 GaussJordan Method for Calculating Inverses 2.6 InputOutput Analysis Chapter Project: Population Dynamics
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
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
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
6. Probability 6.1 Introduction 6.2 Experiments, Outcomes, Samples 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
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
8. Markov Processes 8.1 The Transition Matrix 8.2 Regular Stochastic Matrices 8.3 Absorbing Stochastic Matrices Chapter Project: Doubly Stochastic Matrices
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 MixedStrategy Games
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
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 Modeling with Difference Equations Chapter Project: Connections to Markov Processes
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: Areas under the Standard Normal Curve Appendix B: Using the TI83/84 Plus Graphing Calculators Appendix C: Spreadsheet Fundamentals Appendix D: Using the TI89 Graphing Calculators
Answers to OddNumbered Exercises Index What Our Readers Are SayingBe the first to add a comment for a chance to win!Product Details
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