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Discrete gambling and stochastic games

Author: Ashok P Maitra; William D Sudderth
Publisher: New York : Springer, ©1996.
Series: Applications of mathematics, 32.
Edition/Format:   Print book : EnglishView all editions and formats
Summary:
The theory of probability began in the seventeenth century with attempts to calculate the odds of winning in certain games of chance. However, it was not until the middle of the twentieth century that mathematicians developed general techniques for maximizing the chances of beating a casino or winning against an intelligent opponent. These methods of finding optimal strategies are at the heart of the modern theory
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Material Type: Internet resource
Document Type: Book, Internet Resource
All Authors / Contributors: Ashok P Maitra; William D Sudderth
ISBN: 0387946284 9780387946283
OCLC Number: 33276855
Description: xi, 244 pages : illustrations ; 25 cm.
Contents: 1. Introduction --
2. Gambling Houses and the Conservation of Fairness --
3. Leavable Gambling Problems --
4. Nonleavable Gambling Problems --
5. Stationary Families of Strategies --
6. Approximation Theorems --
7. Stochastic Games.
Series Title: Applications of mathematics, 32.
Responsibility: Ashok P. Maitra, William D. Sudderth.
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Abstract:

The now classic work How to Gamble If You Must: Inequalities for Stochastic Processes by Dubins and Savage (1965) uses gambling termi- nology and examples to develop an elegant, deep, and quite  Read more...

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