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The number of packets generated by users in a segment of time is a discrete random variable whose distribution varies with situation.

在一个时段内用户产生的信息包数是一个离散的随机变量,对于不同的情况该随机变量有不同的分布。

Statistical methods, measures of central tendency, measurement of dispersions, probability, probability distribution of discrete and continuous random variables, parameter estimation and hypothesis testing.

研究统计方法、集中趋势的测量、可能性数据分布的测量、离散型随机变量和连续型随机变量的概率分布、参数估计以及假设检验的测量。

It is a general framework algorithm, which has fast convergence performance and is easy to implement. PSO can be conveniently applied to solve complicated nonlinear, noncontinuous, multi-dimensioned optimization problem with discrete variables and multiple restrictions.

它收敛速度快、计算简单、通用性强,能方便地被用于求解带离散变量的非线性、不连续、多约束、多变量的复杂优化问题中。

A novel hybrid algorithm, which combines predictor-corrector primal-dual interior point method and genetic algorithm, is presented for dynamic and static reactive optimization in this dissertation. The algorithm fully make use of the advantage of interior point method in solving successive optimization problem and the advantage of genetic algorithm in solving discrete optimization problem. The original problem is divided into three parts: total successive problem, discrete problem and successive problem.

结合内点法和遗传算法,本文提出了一种新颖的混合算法用于求解动、静态无功优化问题,算法充分利用了内点法易于求解连续优化问题和遗传算法易于求解离散优化问题的优势,将原优化问题分解为初步的连续优化问题、离散变量优化问题、连续变量优化问题这三个子问题分别求解。

In this paper an optimum design method complex method with mixed discrete variables is discussed with the focus on the optimization design of discrete and continuous variables.

针对工程中大量存在的设计变量为离散型和连续型的混合离散变量的情况,探讨了一种优化设计问题的方法———混合离散复合形法。

Mixed Discrete Complex Programming is a mature optimization recently . It is suitable for the questions containing discrete variable .But, its' astringency is slow and easy to be trapped in the partial solution .

离散变量复合型法是当前比较成熟的管道优化算法,适用于求解含离散变量的优化问题,但存在收敛速度缓慢、易陷入局部最优解的缺点。

Due to the discreteness of transformer taps and the switching of shunt capacitance/reactance banks, the rigorous reactive power optimization is the problem of Mixed-Integer Nonlinear Programming involving both discrete and continuous variables.

在电力系统无功优化过程中,由于有载调压变压器分接头的存在和补偿电容/电抗器分组投切的离散特性,使得严格意义上的无功优化问题成为一个离散变量和连续变量共存的混合整数非线性规划(Mixed-Integer Nonlinear Programming,MINLP)问题。

In this paper, we obtain a new result in view of the definition of the dependence of two dimensional discrete random variable, and give applications about it.

在二维离散型随机变量独立性定义的基础上,得到二维离散型随机变量独立的一个新的判断定理,并给出相关的应用。

If the value of two-dimension random variable is finite or countable, then is called two-dimension discrete random variable.

Definition 3.3 如果二维随机变量可能取的值只有有限个或可列个,则称为二维离散型随机变量

The discrete random height variable of worn surface is described with continuous random variables by a mathematical method.

建立了磨损表面轮廓数值化基准、用连续随机变量来描述磨损表面轮廓线高度离散随机变量,对磨损表面高度分布作了数理统计分析,研究了载荷、滑动速度及镀层种类对磨损表面几何特性的影响,将数理统计分析结果与镀层的耐磨性作了比较分析,较为完整、深入地描述了磨损表面的几何特性。

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这一模式非常关注商人的网络信用基础。

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