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classical-algorithm-matlab-source

于 2013-01-07 发布 文件大小:3068KB
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  包括 解方程、规划问题、差值拟合、打印、绘图、回归、代数方程组、微分方程、随机数生成等等。 (Including solving equations, planning issues, the difference is fitting, printing, plotting, regression, algebraic equations, differential equations, random number generation, etc..)

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    2012-12-30 16:43:41下载
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    2013-12-17 18:42:27下载
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  • MCMCcourse-BOOK
    此为一篇介绍mcmc方法的外文文献 非常适合刚刚接触mcmc方法的初学者(This paper introduces the readers of the Proceedings to an important class of computer based simulation techniques known as Markov chain Monte Carlo (MCMC) methods. General properties characterizing these methods will be discussed, but the main emphasis will be placed on one MCMC method known as the Gibbs sampler. The Gibbs sampler permits one to simulate realizations from complicated stochastic models in high dimensions by making use of the model’s associated full conditional distributions, which will generally have a much simpler and more manageable form. In its most extreme version, the Gibbs sampler reduces the analysis of a complicated multivariate stochastic model to the consideration of that model’s associated univariate full conditional distributions.)
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