A solutions manual to accompany Finite Mathematics: Models and Applications
In order to emphasize the main concepts of each chapter, Finite Mathematics: Models and Applications features plentiful pedagogical elements throughout such as special exercises, end notes, hints, select solutions, biographies of key mathematicians, boxed key principles, a glossary of important terms and topics, and an overview of use of technology. The book encourages the modeling of linear programs and their solutions and uses common computer software programs such as LINDO. In addition to extensive chapters on probability and statistics, principles and applications of matrices are included as well as topics for enrichment such as the Monte Carlo method, game theory, kinship matrices, and dynamic programming. Supplemented with online instructional support materials, the book features coverage including:
* Algebra Skills
* Mathematics of Finance
* Matrix Algebra
* Geometric Solutions
* Simplex Methods
* Application Models
* Set and Probability Relationships
* Random Variables and Probability Distributions
* Markov Chains
* Mathematical Statistics
* Enrichment in Finite Mathematics
表中的内容
1 LINEAR EQUATIONS AND MATHEMATICAL CONCEPTS 1
2 MATHEMATICS OF FINANCE 20
3 MATRIX ALGEBRA 29
4 LINEAR PROGRAMMING – GRAPHICAL SOLUTIONS 47
5 LINEAR PROGRAMMING – SIMPLEX METHOD 65
6 LINEAR PROGRAMMING – APPLICATION MODELS 92
7 SET AND PROBABILITY RELATIONSHIPS 96
8 RANDOM VARIABLES AND PROBABILITY DISTRIBUTIONS 117
9 MARKOV CHAINS 129
10 MATHEMATICAL STATISTICS 140
11 ENRICHMENT IN FINITE MATHEMATICS 149
关于作者
Carla C. Morris, Ph D, is Assistant Professor of Mathematics in the Associate in Arts Program at the University of Delaware. A member of The Institute for Operations Research and the Management Sciences and the Mathematical Association of America, Dr. Morris teaches courses ranging from college algebra to calculus and statistics.
Robert M. Stark, Ph D, is Professor Emeritus in the Departments of Mathematical Sciences and Civil and Environmental Engineering at the University of Delaware. Dr. Stark’s teaching and research interests include applied probability, mathematical optimization, operations research, and mathematics education.
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