Einstein与deBroglie的波粒二象性之本质区别

通过对Ｅｉｎｓｔｅｉｎ 所揭示的光的波粒二象性与ｄｅ Ｂｒｏｇｌｉｅ 所揭示的实物粒子的波粒二象性的追溯与分析，揭示了两者的渊源及其本质区别     

利用局部拓扑信息发现模糊社团结构

根据网络节点的局部拓扑信息,给出了节点与社团的相似度度量方法,提出了一种新的发现网络模糊社团结构的粒子群算法。该算法在迭代过程中依据节点对不同社团的相似度来不断调整粒子的位置向量,减少了搜索的盲目性,提高了搜索效率。对不同规模的计算机生成网络和真实网络进行测试,实验结果表明,该方法能有效、快速的给出网络的模糊社团结构。     

Adaptive methods for sequential importance sampling with application to state space models

In this paper we discuss new adaptive proposal strategies for sequential Monte Carlo algorithms—also known as particle filters—relying on criteria evaluating the quality of the proposed particles. The choice of the proposal distribution is a major concern and can dramatically influence the quality of the estimates. Thus, we show how the long-used coefficient of variation (suggested by Kong et al. in J. Am. Stat. Assoc. 89(278–288):590–599, 1994) of the weights can be used for estimating the chi-square distance between the target and instrumental distributions of the auxiliary particle filter. As a by-product of this analysis we obtain an auxiliary adjustment multiplier weight type for which this chi-square distance is minimal. Moreover, we establish an empirical estimate of linear complexity of the Kullback-Leibler divergence between the involved distributions. Guided by these results, we discuss adaptive designing of the particle filter proposal distribution and illustrate the methods on a numerical example. This work was partly supported by the National Research Agency (ANR) under the program “ANR-05-BLAN-0299”.     

Adaptive Multiple Importance Sampling

Abstract. The Adaptive Multiple Importance Sampling algorithm is aimed at an optimal recycling of past simulations in an iterated importance sampling (IS) scheme. The difference with earlier adaptive IS implementations like Population Monte Carlo is that the importance weights of all simulated values, past as well as present, are recomputed at each iteration, following the technique of the deterministic multiple mixture estimator of Owen & Zhou (J. Amer. Statist. Assoc., 95, 2000, 135). Although the convergence properties of the algorithm cannot be investigated, we demonstrate through a challenging banana shape target distribution and a population genetics example that the improvement brought by this technique is substantial.     

用微粒群算法求解含交易费用的组合投资模型

针对国内证券交易的具体情况，提出了含交易费用的投资组合优化模型。利用微粒群算法对问题进行了求解，并结合实际数据进行仿真。结果表明，利用微粒群算法可以较高的效率求解该模型，且从结果上表明模型的合理性。     

大庆原油加剂前后的蜡晶分形特性研究

针对蜡晶颗粒定性描述存在的不确定性问题，探讨了蜡晶形态的定量表征方法，提出基于蜡晶体积特征的粒度分布分形模型。以大庆南三联原油和林源原油为研究对象，采用流变学测试法与影像分析技术，测试它们加剂前后的析蜡过程及粘温特性；采用NcMiVnt图像分析软件，处理试样析蜡过程中的蜡晶形态图像，确定蜡晶粒度分布分形维数；进而分析温度与流动改进剂对原油蜡晶分形特性的影响。结果表明，基于蜡晶颗粒体积特征的分形模型可定量表征蜡晶形态；两种原油加剂前后的蜡晶分形维数随温度降低而增大，其析蜡量及蜡晶颗粒数量一般随之增加，宏观表现为原油低温流动性变差；两种原油加剂后的蜡晶分形维数明显增大，而蜡晶颗粒数量大幅减少，宏观上呈现出原油低温流动性提高。     

佛学空性与量子论的比较研究

佛学的空性理论与量子理论对物质世界根本实相的认识是具有相似性的。两者间的相互诠释,不仅有利于对佛学空性思想的理解,也增加了对量子力学理解的维度。而且将佛学的空性理论与量子理论结合起来,对于认识真空的深层次结构,促进现代科学的发展,促进人类精神文明的建设,推动人文素质的不断提高是有现实意义的。     

遵义方言的助词“把”

遵义方言的助词"把"的意义和用法与普通话有相同的一面,但也有其独自的一些特点.本文从"把"对数词和量词的选择、"把"的句法分布、"X把"的语法意义等三个方面对遵义方言助词"把"进行了详尽的描写.     

Direct simulation for discrete mixture distributions

We demonstrate how to perform direct simulation for discrete mixture models. The approach is based on directly calculating the posterior distribution using a set of recursions which are similar to those of the Forward-Backward algorithm. Our approach is more practicable than existing perfect simulation methods for mixtures. For example, we analyse 1096 observations from a 2 component Poisson mixture, and 240 observations under a 3 component Poisson mixture (with unknown mixture proportions and Poisson means in each case). Simulating samples of 10,000 perfect realisations took about 17 minutes and an hour respectively on a 900 MHz ultraSPARC computer. Our method can also be used to perform perfect simulation from Markov-dependent mixture models. A byproduct of our approach is that the evidence of our assumed models can be calculated, which enables different models to be compared.     

基于微粒群算法的半导体炉管区调度应用研究

提出了用微粒群算法来解决半导体炉管区的调度问题.给出了算法的具体过程及参数设置方案.实例计算的结果表明,该算法是解决半导体炉管区调度问题可行且高效的方法.