Isbn: 9780387946283 - discrete gambling and stochastic games (stochastic modelling and applied probability, 32, band 32) (21 Ergebnisse)

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Hardcover. Zustand: ex library-good. Applications of Mathematics. Stochastic Modelling and Applied Probability 32. xi, 244 p. 24 cm. Ex library with labels on spine and inside rear cover, ink stamps on top edge and title.

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1996. 256 p. Unread book. Very good condition. Minimum traces of storage. 9780387946283 Sprache: Englisch Gewicht in Gramm: 522 Hardcover: 15.6 x 1.7 x 23.4 cm.

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Zustand: Sehr gut. Zustand: Sehr gut | Seiten: 260 | Sprache: Englisch | Produktart: Bücher | 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 de­ veloped general techniques for maximizing the chances of beating a casino or winning against an intelligent opponent. These methods of finding op­ timal strategies for a player are at the heart of the modern theories of stochastic control and stochastic games. There are numerous applications to engineering and the social sciences, but the liveliest intuition still comes from gambling. 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 general theory of discrete-time stochastic control. A gambler "controls" the stochastic pro­ cess of his or her successive fortunes by choosing which games to play and what bets to make.…

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Zustand: gut. 1996. Discrete Gambling and Stochastic Games (Stochastic Modelling and Applied Probability (32), Band 32) In englischer Sprache. pages.

Buch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 de veloped general techniques for maximizing the chances of beating a casino or winning against an intelligent opponent. These methods of finding op timal strategies for a player are at the heart of the modern theories of stochastic control and stochastic games. There are numerous applications to engineering and the social sciences, but the liveliest intuition still comes from gambling. 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 general theory of discrete-time stochastic control. A gambler 'controls' the stochastic pro cess of his or her successive fortunes by choosing which games to play and what bets to make. 260 pp. Englisch.…

Buch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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 de veloped general techniques for maximizing the chances of beating a casino or winning against an intelligent opponent. These methods of finding op timal strategies for a player are at the heart of the modern theories of stochastic control and stochastic games. There are numerous applications to engineering and the social sciences, but the liveliest intuition still comes from gambling. 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 general theory of discrete-time stochastic control. A gambler 'controls' the stochastic pro cess of his or her successive fortunes by choosing which games to play and what bets to make.…

Buch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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 de veloped general techniques for maximizing the chances of beating a casino or winning against an intelligent opponent. These methods of finding op timal strategies for a player are at the heart of the modern theories of stochastic control and stochastic games. There are numerous applications to engineering and the social sciences, but the liveliest intuition still comes from gambling. 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 general theory of discrete-time stochastic control. A gambler 'controls' the stochastic pro cess of his or her successive fortunes by choosing which games to play and what bets to make.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 260 pp. Englisch.…