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Titlebook: Conditional Monte Carlo; Gradient Estimation Michael Fu,Jian-Qiang Hu Book 19971st edition Springer Science+Business Media New York 1997 I

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樓主
發(fā)表于 2025-3-21 16:25:50 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Conditional Monte Carlo
副標題Gradient Estimation
編輯Michael Fu,Jian-Qiang Hu
視頻videohttp://file.papertrans.cn/236/235209/235209.mp4
叢書名稱The Springer International Series in Engineering and Computer Science
圖書封面Titlebook: Conditional Monte Carlo; Gradient Estimation  Michael Fu,Jian-Qiang Hu Book 19971st edition Springer Science+Business Media New York 1997 I
描述.Conditional Monte Carlo: Gradient Estimation andOptimization. .Applications. deals with various gradientestimation techniques of perturbation analysis based on the use ofconditional expectation. The primary setting is discrete-eventstochastic simulation. This book presents applications to queueing andinventory, and to other diverse areas such as financial derivatives,pricing and statistical quality control. To researchers already in thearea, this book offers a unified perspective and adequately summarizesthe state of the art. To researchers new to the area, this book offersa more systematic and accessible means of understanding the techniqueswithout having to scour through the immense literature and learn a newset of notation with each paper. To practitioners, this book providesa number of diverse application areas that makes the intuitionaccessible without having to fully commit to understanding all thetheoretical niceties. In sum, the objectives of this monograph aretwo-fold: to bring together many of the interesting developments inperturbation analysis based on conditioning under a more unifiedframework, and to illustrate the diversity of applications to whichthese techniques c
出版日期Book 19971st edition
關(guān)鍵詞Internet; computer; computer science; optimization; simulation
版次1
doihttps://doi.org/10.1007/978-1-4615-6293-1
isbn_softcover978-1-4613-7889-1
isbn_ebook978-1-4615-6293-1Series ISSN 0893-3405
issn_series 0893-3405
copyrightSpringer Science+Business Media New York 1997
The information of publication is updating

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沙發(fā)
發(fā)表于 2025-3-21 22:14:36 | 只看該作者
Book 19971st editionerstanding all thetheoretical niceties. In sum, the objectives of this monograph aretwo-fold: to bring together many of the interesting developments inperturbation analysis based on conditioning under a more unifiedframework, and to illustrate the diversity of applications to whichthese techniques c
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地板
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https://doi.org/10.1007/978-3-319-70647-4 those found in queueing and inventory, but we also consider other systems with stochastic dynamics such as those found in finance. The main motivational driving forces for gradient estimation are the following:
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Meriem Khelifa,Dalila Boughaci,Esma A?meurchnical manner. For the practitioner interested in getting to applications as quickly as possible, this chapter can serve to supplant reading Chapters 3 and 4. However, a basic understanding of IPA is assumed.
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發(fā)表于 2025-3-23 02:26:21 | 只看該作者
https://doi.org/10.1007/978-3-319-70647-4 those found in queueing and inventory, but we also consider other systems with stochastic dynamics such as those found in finance. The main motivational driving forces for gradient estimation are the following:
10#
發(fā)表于 2025-3-23 08:40:09 | 只看該作者
Barbara G?adysz,Andrzej Pawlickisimple example that illustrates the basic conditioning technique used to “smooth” a piecewise constant function. In this example, the parameter is “time” itself, specifically a fixed epoch. The single-server queue example illustrates a more involved dynamic system, and is used to illustrate the infi
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