Discrete mathematics and game theory
著者
書誌事項
Discrete mathematics and game theory
（Theory and decision library, ser. C . Game theory,
Kluwer Academic, c1999
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内容説明・目次
内容説明
This book describes highly applicable mathematics without using calculus or limits in general. The study agrees with the opinion that the traditional calculus/analysis is not necessarily the only proper grounding for academics who wish to apply mathematics. The choice of topics is based on a desire to present those facets of mathematics which will be useful to economists and social/behavioral scientists.
The volume is divided into seven chapters. Chapter I presents a brief review of the solution of systems of linear equations by the use of matrices. Chapter III introduces the theory of probability. The rest of the book deals with new developments in mathematics such as linear and dynamic programming, the theory of networks and the theory of games. These developments are generally recognized as the most important field in the `new mathematics' and they also have specific applications in the management sciences.
目次
- I. Vectors and Matrices.- 1. Algebraic Operations.- 2. Row Operations and the Solution of Systems of Linear Equations.- 3. Solution of General mxn Systems of Equations.- II. Linear Programming.- 1. Linear Programs.- 2. The Simplex Algorithm: Slack Variables.- 3. The Simplex Tableau.- 4. The Simplex Algorithm: Objectives.- 5. The Simplex Algorithm: Choice of Pivots.- 6. The Simplex Algorithm: Stage I..- 7. The Simplex Algorithm: Proof of Convergence.- 8. Equation Constraints.- 9. Degeneracy Procedures.- 10. Some Practical Comments.- 11. Duality.- 12. Transportation Problems.- 13. Assignment Problems.- III. The Theory of Probability.- 1. Probabilities.- 2. Discrete Probability Spaces.- 3. Conditional Probability.- 4. Compound Experiments.- 5. Bayes' Formula.- 6. Repetition of Simple Experiments
- The Binomial Distribution.- 7. Drawings with and without Replacement.- 8. Random Variables.- 9. Expected Values. Means and Variances.- 10. Rules for Computing the Mean and Variance.- 11. Two Important Theorems.- 12. Markov Chains.- 13. Regular and Absorbing Markov Chains.- IV. The Theory of Games.- 1. Games: Extensive and Normal Form.- 2. Saddle Points.- 3. Mixed Strategies.- 4. Solution of 2x2 Games.- 5. 2xn and mx2 Games.- 6. Solutions by Linear Programming.- 7 Solution of Games by Fictitious Play.- 8. The von Neumann Model of an Expanding Economy.- 9. Existence of an Equilibrium Expansion Rate.- 10. Two-Person Non-Zero-Sum Games.- 11. Evolutionary Stable Systems.- V. Cooperative Games.- 1. n-Person Games.- 2. The Core.- 3. The Shapley Value.- 4. Voting Structures.- VI. Dynamic Programming.- 1. The Principle of Maximality.- 2. The Fixed-Charge Transportation Problem.- 3. Inventories.- 4. Stochastic Inventory Systems.- VII. Graphs and Networks.- 1. Introduction.- 2. Critical Path Analysis.- 3. The Shortest Path through a Network.- 4. Minimal Spanning Trees.- 5. The Maximal Flow in a Network.
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