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The beginning of stochastic programming, and in particular stochastic linear programming (SLP), dates back to the 50’s and early 60’s of the last century. Pioneers who—at that time—contributed to the field, either by identifying SLP problems in particular applications, or by formulating various model types and solution approaches fo r dealing adequately with linear programs containing random variables in their right–hand–side, their technology matrix, and/or their objective’s gradient, have been among others (in alphabetical order):
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Stochastic Models, Information Theory, and Lie Groups Volume 1

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INFORMATION THEORY

该资源为MIT的信息论研究生教材

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“Information lies at the heart of biology, societies depend on it, and our ability to process information ever more efficiently is transforming our lives. By introducing the theory that enabled our information revolution, this book describes what information is, how it can be communicated efficientl

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Strategy An Introduction to Game Theory(3rd Edition).

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Stochastic Processes and Filtering Theory.pdf

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Models of Computation

This course introduces the classical mathematical models used to analyse computation, including finite state automata, grammars, and Turing Machines. A computer scientist should be able to distinguish between what can be computed and what cannot. This distinction can only be made with a good scienti

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stochastic process theory for applications

gallager 的新书 stochastic process theory for applications, 大牛出手,号称20年磨一剑

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“Introduction to Stochastic Dynamic Programming”介绍了 随机动态规划的理论、应用、方法论等一系列。本书由学术泰斗 Sheldon Ross 编写,是学习 随机动态规划的极佳教材。 另外,本书的扫描质量很高,已经经过 OCR, 支持文本搜索

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On Stochastic Linear Programming

不错的一片数学论文 关于Stochastic Linear Programming 值得一读~

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Mummford-Pattern-Theory-the-Stochastic-Analysis-of-Real-World-Signals

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spring mvc+mybatis+mysql+maven+bootstrap 整合实现增删查改简单实例.zip

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Stochastic Linear Programming - Models, Theory and Computation.pdf

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