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Discrete Gambling and Stochastic Games (Stochastic Modelling and Applied Probability Book 32)

Ashok P. Maitra
4.9/5 (32380 ratings)
Read Now Download Now ⏭ listen AudioBook
Description:The theory of probability began in the seventeenth century with attempts to calculate the odds of winning in certain games of change. 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 of stochastic control and stochastic games. This monograph provides an introduction to the ideas of gambling theory and stochastic games. The first chapters introduce the ideas and notation of gambling theory. Chapters 3 and 4 consider "leavable" and "nonleavable" problems which form the core theory of this subject. Chapters 5, 6, and 7 cover stationary strategies, approximate gambling problems, and two-person zero-sum stochastic games respectively. Throughout, the authors have included examples and there are problem sets at the end of each chapter.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Discrete Gambling and Stochastic Games (Stochastic Modelling and Applied Probability Book 32). To get started finding Discrete Gambling and Stochastic Games (Stochastic Modelling and Applied Probability Book 32), you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.
Pages
480
Format
PDF, EPUB & Kindle Edition
Publisher
N/A
Release
1996
ISBN
1461240026

Discrete Gambling and Stochastic Games (Stochastic Modelling and Applied Probability Book 32)

Ashok P. Maitra
4.4/5 (1290744 ratings)
Read Now Download now ⏭ listen AudioBook
Description: The theory of probability began in the seventeenth century with attempts to calculate the odds of winning in certain games of change. 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 of stochastic control and stochastic games. This monograph provides an introduction to the ideas of gambling theory and stochastic games. The first chapters introduce the ideas and notation of gambling theory. Chapters 3 and 4 consider "leavable" and "nonleavable" problems which form the core theory of this subject. Chapters 5, 6, and 7 cover stationary strategies, approximate gambling problems, and two-person zero-sum stochastic games respectively. Throughout, the authors have included examples and there are problem sets at the end of each chapter.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Discrete Gambling and Stochastic Games (Stochastic Modelling and Applied Probability Book 32). To get started finding Discrete Gambling and Stochastic Games (Stochastic Modelling and Applied Probability Book 32), you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.
Pages
480
Format
PDF, EPUB & Kindle Edition
Publisher
N/A
Release
1996
ISBN
1461240026

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