• 浙江大学2010年考研《840电路》真题

    浙江大学2010年考研《840电路》真题,高清无码,pdf格式

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  • population monte carlo

    The group sampling method is applied to power system reliability evaluation for the first time and combined with self-adapting important sampling algorithm, one new method is presented which has broad applicability due to need of a spot of system information known by us. Furthermore, an efficient sampler of the system failure state is put forward, which can fast extract system states in obedience to our need, and therefore the group sampling method can work more efficiently. Compared to other Monte Carlo methods, the results of the IEEE-RTS79 test system show that the proposed method is correct, effective and cannot be degraded.

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  • population MCMC

    The group sampling method is applied to power system reliability evaluation for the first time and combined with self-adapting important sampling algorithm, one new method is presented which has broad applicability due to need of a spot of system information known by us. Furthermore, an efficient sampler of the system failure state is put forward, which can fast extract system states in obedience to our need, and therefore the group sampling method can work more efficiently. Compared to other Monte Carlo methods, the results of the IEEE-RTS79 test system show that the proposed method is correct, effective and cannot be degraded.

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    2010-06-08
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  • 《马尔可夫过程的Q矩阵问题》

    马尔可夫过程的Q矩阵问题 马尔可夫链,等等,值得下载

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    2010-03-24
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  • 《马尔可夫骨架过程:混杂系统模型》

    马尔可夫骨架过程:混杂系统模型 电子书 内容翔实,值得下载

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  • 《马尔可夫决策过程》电子书

    马尔可夫是彼得堡数学学派的代表人物,以数论和概率论方面的工作著称.在数论方面,他研究了连分数和二次不等式理论,解决了许多难题.在概率论中,他发展了“矩法”扩大了大数律和中心极限定理的应用范围.马尔可夫最重要的工作是在1606~1912年间提出并研究了一种能用数学分析方法研究自然过程的一般图式—马尔可夫链,同时开创了一种无后效性的随机过程(马尔可夫过程)的研究.马尔可夫过程在自然科学、工程技术和公共事业中有广泛的应用.他的主要著作有《概率演算》等.

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  • 高等学校规划教材《多变量贝叶斯动态模型及其预测》

    贝叶斯是与经典统计理论的争论中发展起来的,其争论的焦点是,未知参数是否为随机变量。。。。

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  • 《数理统计 贝叶斯统计学》电子书

    贝叶斯是与经典统计理论的争论中发展起来的,其争论的焦点是,未知参数是否为随机变量。。。。

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  • 《贝叶斯统计》电子书

    贝叶斯是与经典统计理论的争论中发展起来的,其争论的焦点是,未知参数是否为随机变量。。。。

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    2010-03-24
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  • 贝叶斯动态模型及其预测

    贝叶斯动态模型及其预测。 介绍贝叶斯的一些概念和用法。

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    2010-03-24
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