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Hybrid Monte Carlo sampling.SAMPLES = HMC(F, X, OPTIONS, GRADF) uses a hybrid Monte Carlo
algorithm to sample from the distribution P ~ EXP(-F), where F is the
first argument to HMC. The Markov chain starts at the point X, and
the function GRAD
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The package includes 3 Matlab-interfaces to the c-code:
1. inference.m
An interface to the full inference package, includes several methods for
approximate inference: Loopy Belief Propagation, Generalized Belief
Propagation, Mean-Field
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电力系统发输电系统基于非序贯的蒙特卡罗抽样的风险评估程序,Power system and transmission system is based on non-sequential Monte Carlo sampling of the risk assessment procedures
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课程设计中首先采用Ising model的思想建立一个二维的模型，然后利用重要性抽样和Monte Carlo方法及其思想模拟铁磁-顺磁相变过程。计算了顺磁物质的能量平均值Ev、热容Cv、磁化强度M及磁化率X的值，进而研究Ev、Cv、M、X与温度T的变化关系并绘制成Ev-T图、Cv-T图、M-T图、X-T图，得出顺磁物质的内能随着温度的升高先增大而后趋于稳定值；热容Cv、磁化率X随着温度的升高先增大后减小；磁化强度M在转变温度Tc处迅速减小为零，找出铁磁相变的转变温度Tc大约为2.35,First
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基于对偶抽样蒙特卡洛发求配电系统可靠性的matlab源程序-Monte Carlo sampling based on the dual distribution system reliability requirements issued matlab source
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This is a Monte Carlo sampling matlab programming, hope you can use it, enjoy!
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Sequential Monte Carlo-Sequential Monte Carlo
Sequential Monte Carlo methods are a very general class of Monte Carlo methods
for sampling from sequences of distributions. Simple examples of these algorithms are
used very widely in the tracking
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通过单一的Wi-Fi接入点的信号强度来判断移动物体的位置。比较新的一篇文章。用了蒙特卡罗抽样的办法－Monte Carlo Sampling Method－来估计位置。-This paper describes research towards a system
for locating wireless nodes in a home environment requiring
merely a single access point. The only sensor reading
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粒子滤波(PF: Particle Filter)的思想基于蒙特卡洛方法(Monte Carlo methods)，它是利用粒子集来表示概率，可以用在任何形式的状态空间模型上。其核心思想是通过从后验概率中抽取的随机状态粒子来表达其分布，是一种顺序重要性采样法(Sequential Importance Sampling)。简单来说，粒子滤波法是指通过寻找一组在状态空间传播的随机样本对概率密度函数 进行近似，以样本均值代替积分运算，从而获得状态最小方差分布的过程。这里的样本即指粒子,当样本数量N→
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This program demonstrates an importance-sampling Monte Carlo integration to evaluate an integral.
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蒙特卡罗方法在由已知分布的随机抽样中的应用-Monte Carlo method of random sampling from the known distribution of the application
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Markov Chain Monte Carlo and gibbs sampling
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基于蒙特卡罗算法的电力系统风险评估研究_李彦生。利用蒙特卡洛抽样和潮流计算方法计算电力系统可靠性-Based on the Monte Carlo algorithm for power system risk assessment studies _ Li Yansheng. Monte Carlo sampling and flow calculation method of the calculation of the power system reliability
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The Monte Carlo technique is a flexible method for simulating light propagation in tissue. The simulation is based on the random walks that photons make as they travel through tissue, which are chosen by statistically sampling the probability distrib
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蒙特卡罗方法（Monte Carlo method），也称统计模拟方法，是二十世纪四十年代中期由于科学技术的发展和电子计算机的发明，而被提出的一种以概率统计理论为指导的一类非常重要的数值计算方法。是指使用随机数（或更常见的伪随机数）来解决很多计算问题的方法。-Monte Carlo methods (or Monte Carlo experiments) are a broad class of computational algorithms that rely on repeated ran
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序贯蒙特卡罗对误码率抽样，增强算法性能，程序源代码，实用易用-Sequential Monte Carlo sampling of the bit error rate and enhance the performance of the algorithm, source code, easy to use and practical
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基于蒙特卡洛抽样方法的介绍，有PPT，有详细解释，有程序算例(Based on the monte carlo sampling method is introduced, a PPT, has explained in detail, with application examples)
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Matlab 蒙特卡洛和拉丁超立方采样比较(Comparison of Matlab Monte Carlo and Latin hypercube sampling
matlab)
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这是从多元正态分布、均匀分布和经验分布中实现拉丁超立方体采样的采样实用程序。变量之间的相关性可以被描述出来。(This is sampling utility implementing Latin hypercube sampling from multivariate normal, uniform & empirical distribution. Correlation among variables can be sprecified)
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Latin超立方抽样Monte Carlo方法程序(Latin Hypercube Sampling Monte Carlo Method Program)
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