习惯 发表于 2025-3-21 16:25:50

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扩大 发表于 2025-3-21 22:14:36

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

mercenary 发表于 2025-3-22 01:50:58

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CUMB 发表于 2025-3-22 06:05:19

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Amnesty 发表于 2025-3-22 10:07:56

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ASTER 发表于 2025-3-22 15:41:43

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:

ASTER 发表于 2025-3-22 20:47:05

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Genteel 发表于 2025-3-22 22:52:20

Meriem Khelifa,Dalila Boughaci,Esma Aïmeurchnical 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.

杀子女者 发表于 2025-3-23 02:26:21

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:

Canopy 发表于 2025-3-23 08:40:09

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