《Statistical Mechanics: Entropy, Order Parameters and Complexity》作者:OUP Oxford ,出版社:2006年4月,ISBN:802.00。Ineachgeneration,scientistsmustredefinetheirfields
Statistical Mechanics: Entropy, Order Parameters, and Complexity - Sethna - 2007 () Citation Context ...silator, this can be done quite compactly using array operations within NumPy/SciPy: class StochasticRepressilator: # ... def Step(self, dtmax): “””Execute one step of the Gillespie ...
Entropy, Order Parameters, and Complexity英文版本.pdf,Entropy, Order Parameters, and Complexity Incorporating the last 50 years into the statistical mechanics curriculum James P. Sethna, Cornell University, 2007 /sethna/StatMech/ The purview of science g
Entropy,OrderParameters andComplexity JamesP.Sethna,Physics,CornellUniversity,Ithaca,NY cApril19,2005 Q B b S Y S T E M x F E δE+EWater Alcohol Oil Two-PhaseMix Electronicversionoftextavailableat http://.physics.cornell.edu/sethna/StatMech/book.pdf ...
收藏 分享 下载 举报 用客户端打开
作者:James.P.Sethna单位:CornellUniversity内容有统计物理基础知识,以及在图论,社会网络,小世界网络,随机行走,社会科学等等领域的应用.图书排版精美,看着是一种享受啊^_^http://www.isload.com.cn/store/3w4jatc8izpie/EntropyOrderParametersComplexity.pdf/downlaod===
Statistical mechanics: Entropy, order parameters, and complexity (1st ed), Oxford University Press, Oxford, UK (2006) Google Scholar [74] Świergiel J., Jadżyn J. Fractional Stokes-Einstein-Debye relation and orientational entropy effects in strongly hydrogen-bonded liquid amides Phys Chem Chem...
et al. Local structure and short-range order in a NiCoCr solid solution alloy. Phys. Rev. Lett. 118, 205501 (2017). Article ADS CAS Google Scholar Oh, H. S. et al. Engineering atomic-level complexity in high-entropy and complex concentrated alloys. Nat. Commun. 10, 2090 (2019). ...
Following Sigaki et al.32, we investigated the evolution of memes in the entropy-complexity plane. For each meme instance we computed the values ofH(P) andC(P) and then averaged the obtained values by year. The results are reported, for each subreddit, in Fig.3. We observe that each...
The main limitation of the maximum entropy model is its computational complexity. Recent studies demonstrated its applicability to a few tens of neurons using only first and second-order statistics without temporal correlations (Yeh et al., 2010). View article Chapter Handbook of Statistics Handbook...