Probability and Stochastic Process
UCBerkeleyLectureNotes
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An Introduction to Stochastic Modeling
随机过程是广泛使用的理论体系,在诸如天气预报、统计物理、天体物理、运筹决策、经济数学、安全科学、人口理论、可靠性及计算机科学等很多领域都要经常用到随机过程的理论来建立数学模型。一本不错的书,推荐给大家
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Introduction to stochastic programming
Author: Francois Louveaux, John R. Birge Publisher: Springer (2000) Binding: Hardcover, 448 pages pr
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Introduction of stochastic processes
Thisbookismostlyaboutmarkovchainsandisselectedasatextbookforundergraduates.
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MAPLE and MATLAB for stochastic
用MAPLE和MATLAB实现数据统计功能
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Stochastic Local Search
Max-MinAntSystem算法发明者于2004年写的一本关于局部搜索算法的专著,值得一看!!!
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Introduction to stochastic processes
ThisbookisanoutgrowthoflecturesinMathematics240,"AppliedStochasticProcesses,"whichIhavetaughtanumber
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Essentials of Stochastic Processes
DurrettR.-EssentialsofStochasticProcesses-Springer(2012)
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A Tutorial on Stochastic Programming
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Combinatorial stochastic processes
Combinatorialstochasticprocesses,byProf.JamesPitmanatStatisticsDepartmentofUCBerkeley.It'sthemathema
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reversibility and stochastic network
非常好的教程,是随机网络的经典教程之一,主要讲述排队过程反向来看是个什么过程,很有意思
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