| 书目名称 | Numerical Methods for Stochastic Control Problems in Continuous Time |
| 编辑 | Harold J. Kushner,Paul G. Dupuis |
| 视频video | |
| 丛书名称 | Stochastic Modelling and Applied Probability |
| 图书封面 |  |
| 描述 | 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 prob lem formulations and sometimes surprising applications appear regularly. We have chosen forms of the models which cover the great bulk of the for mulations 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. Both the "drift" |
| 出版日期 | Book 19921st edition |
| 关键词 | Markov chain; Variation; algorithms; numerical analysis; stochastic processes |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-1-4684-0441-8 |
| isbn_ebook | 978-1-4684-0441-8Series ISSN 0172-4568 Series E-ISSN 2197-439X |
| issn_series | 0172-4568 |
| copyright | Springer-Verlag New York, Inc. 1992 |
发表于 2025-3-21 17:53:14
