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Titlebook: Entropy, Large Deviations, and Statistical Mechanics; Richard S. Ellis Book 2006 Springer-Verlag Berlin Heidelberg 2006 Large deviations.c

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樓主: LH941
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發(fā)表于 2025-3-23 12:49:33 | 只看該作者
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發(fā)表于 2025-3-23 21:09:33 | 只看該作者
Classics in Mathematicshttp://image.papertrans.cn/e/image/311877.jpg
14#
發(fā)表于 2025-3-24 02:10:39 | 只看該作者
https://doi.org/10.1007/3-540-29060-5Large deviations; convergence properties; mechanics; statistical mechanics; stochastic systems
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發(fā)表于 2025-3-24 04:57:35 | 只看該作者
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發(fā)表于 2025-3-24 07:48:53 | 只看該作者
The Data Access Application Block,ing systems have a way to store data. The storage needs for software may differ among applications. Some may require volatile storage solutions, others might need nonvolatile storage, and some may require a little of both.
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發(fā)表于 2025-3-24 14:35:26 | 只看該作者
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發(fā)表于 2025-3-24 18:55:19 | 只看該作者
https://doi.org/10.1007/978-3-531-91761-0e very condition of the Anthropocene can serve as an opportunity to give serious consideration to the ontological thesis of the pluriverse, namely that there are many . of worlds, some of which may allow for “social” relations that are constituted by “more-than-human” beings. In the first part of th
19#
發(fā)表于 2025-3-24 22:56:32 | 只看該作者
20#
發(fā)表于 2025-3-25 01:34:42 | 只看該作者
Francisco Rüdiger genetic programming (GP) can evolve algorithms automatically for complex problems and has been introduced for image segmentation. However, GP-based methods face a challenge to control the complexity of evolved solutions. In this paper, we develop a novel exponential function to measure the solution
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