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Numerical Methods for Stochastic Control Problems in Continuous Time (Stochastic Modelling and Applied Probability, 24) - Hardcover
Synopsis
Changes in the second edition. The second edition differs from the first in that there is a full development of problems where the variance of the diffusion term and the jump distribution can be controlled. Also, a great deal of new material concerning deterministic problems has been added, including very efficient algorithms for a class of problems of wide current interest. This book is concerned with numerical methods for stochastic control and optimal stochastic control problems. The random process models of the controlled or uncontrolled stochastic systems are either diffusions or jump diffusions. Stochastic control is a very active area of research and new problem formulations and sometimes surprising applications appear regu larly. We have chosen forms of the models which cover the great bulk of the formulations of the continuous time stochastic control problems which have appeared to date. The standard formats are covered, but much emphasis is given to the newer and less well known formulations. The controlled process might be either stopped or absorbed on leaving a constraint set or upon first hitting a target set, or it might be reflected or "projected" from the boundary of a constraining set. In some of the more recent applications of the reflecting boundary problem, for example the so-called heavy traffic approximation problems, the directions of reflection are actually discontin uous. In general, the control might be representable as a bounded function or it might be of the so-called impulsive or singular control types.
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Review
"The second edition of this acclaimed book from Springer-Verlag has the latest theoretical and practical information on solving stochastic control problems. Including proofs and algorithms using diffusion, jump-diffusion, and other process models, the authors help make randomness a little less scary."
Amazon.com Delivers Mathematics and Statistics e-bulletin, July 2001
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Numerical Methods for Stochastic Control Problems in Continuous Time.
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2nd, ed. XII, 475 p. Hardcover. 2nd Ed. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Stamped/gestempelt. Stochastic Modelling and Applied Probability , Vol. 24. Sprache: Englisch. Seller Inventory # 26970AB
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Numerical Methods for Stochastic Control Problems in Continuous Time (Stochastic Modelling and Applied Probability, 24)
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Hardcover. Condition: Good. 2nd. It's a preowned item in good condition and includes all the pages. It may have some general signs of wear and tear, such as markings, highlighting, slight damage to the cover, minimal wear to the binding, etc., but they will not affect the overall reading experience. Seller Inventory # 0387951393-11-1
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Numerical Methods for Stochastic Control Problems in Continuous Time (Volume 24)
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Condition: Poor. Volume 24. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. Book contains pencil markings. In poor condition, suitable as a reading copy. Water damaged. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,900grams, ISBN:9780387951393. Seller Inventory # 8983226
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Numerical Methods for Stochastic Control Problems in Continuous Time (Stochastic Modelling and Applied Probability (24))
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Numerical Methods for Stochastic Control Problems in Continuous Time (Stochastic Modelling and Applied Probability, 24)
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Numerical Methods for Stochastic Control Problems in Continuous Time
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Numerical Methods for Stochastic Control Problems in Continuous Time (Stochastic Modelling and Applied Probability, 24)
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Numerical Methods for Stochastic Control Problems in Continuous Time (Hardcover)
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Springer-Verlag New York Inc., New York, NY, 2000
ISBN 10: 0387951393
ISBN 13: 9780387951393
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Hardcover. Condition: new. Hardcover. Changes in the second edition. The second edition differs from the first in that there is a full development of problems where the variance of the diffusion term and the jump distribution can be controlled. Also, a great deal of new material concerning deterministic problems has been added, including very efficient algorithms for a class of problems of wide current interest. This book is concerned with numerical methods for stochastic control and optimal stochastic control problems. The random process models of the controlled or uncontrolled stochastic systems are either diffusions or jump diffusions. Stochastic control is a very active area of research and new problem formulations and sometimes surprising applications appear regu larly. We have chosen forms of the models which cover the great bulk of the formulations of the continuous time stochastic control problems which have appeared to date. The standard formats are covered, but much emphasis is given to the newer and less well known formulations. The controlled process might be either stopped or absorbed on leaving a constraint set or upon first hitting a target set, or it might be reflected or "projected" from the boundary of a constraining set. In some of the more recent applications of the reflecting boundary problem, for example the so-called heavy traffic approximation problems, the directions of reflection are actually discontin uous. In general, the control might be representable as a bounded function or it might be of the so-called impulsive or singular control types. This monograph covers effective numerical methods for stochastic control problems in continuous time on two levels, that of practice (algorithms and applications) and that of the mathematical development. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9780387951393
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Numerical Methods for Stochastic Control Problems in Continuous Time (Stochastic Modelling and Applied Probability, 24)
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Numerical Methods for Stochastic Control Problems in Continuous Time
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