集合函数

Call mode, input, output and parameters of several MPI collective communication operations in CAMPI are discussed. We have implemented barrier, broadcast and reduction operations in CAMPI and have analyzed application performance. In performance contrast, CAMPI can archive better performance improvement relative to MPICH.

通过讨论多种MPI的集合操作，给出它们在CAMPI中的函数调用方式、输入参数描述、输出参数描述、参数说明和函数说明，重点针对同步、广播和归约操作，实现了CAMPI集合通信操作库的子集，并且给出应用性能分析，在性能比较中，相对MPICH可以获得较高的性能改善。

Firstly a formal syntactic of UML statechart diagrams was given and a series of auxiliary functions to describe the structure features of UML statechart diagrams were presented in which target determinator and source restriction were used to describe the inter-level transitions and open events and close events were used to describe the communication among UML statechart diagrams.

首先给出了UML状态图的形式化语法定义，其中用状态集合、转移集合、事件集合、条件集合、活动集合、对象集合和变量集合，定义了一系列辅助函数描述UML状态图特征，用确定目标状态和受限源状态表示层次关系，用开放事件和封闭事件表示对象之间的消息。

The result is an explicit choice function : a function that takes the first box to the first element we chose, the second box to the second element we chose, and so on.

这个结果是一个明确的选择函数：这个函数映第一个集合到我们选择的第一个元素，映射第二个集合到我们选择的第二个元素，以此类推。

By regarding fuzzy random variables as the particular case of measurable fuzzy setvalued functions and systematizing the achieved results [55～56] , opening further up the study, the paper introduces the concepts of complex fuzzy random variable, the distribution function and fall-shadow distribution function of complex fuzzy random variable, and investigates their fundamental properties.

6将动态模糊集合与模糊集值函数的概念推广到了动态复模糊集合和复模糊集值函数的情形，并且讨论了它们的若干基本性质

Quantifying similarity/difference between two objects plays an important role in many contexts The quality of the similarity/difference scores can be improved by considering the semantic information related to the features of objects A flexible semantic distance function called X Dist is proposed, which can utilize the semantic information to measure the difference between two objects based on a solution to the transportation problem from linear optimization With a ground distance function for single features being a metric, X Dist is also a metric This property is very useful for making searching efficient, but is not investigated in the previous research Moreover, the experimental results show X Dist can be as good as the previously studied similarity measures in nearest neighbor searching, discriminative power and computing speed

量化对象间相似性/差别的方法具有广泛的用途，利用相关的语义信息能够得到更好的量化结果提出了一个量化对象间语义差别的距离函数XDist，它基于线性优化中的运输问题模型和相关的语义信息量化两个对象之间的差别在量化特征的差别函数是度量的情况下，XDist是一个度量，在提高搜索的效率方面具有优势，弥补了以往研究的不足，而且实验初步表明，此函数在最近邻查询效果、差别分辨力和计算速度方面能与已有函数相媲美1 引言量化对象间相似性/差别的方法具有广泛的用途，例如数据挖掘中的聚类；信息检索中的相似文档查询；协同过滤中的相似用户查询；CBR中的相似案例查询集合是对象特征表示的常用结构，集合的元素是与对象特征相关的项，它们可以

The problem of multi-objective usually meet many conflict each other and can not use the objective of the same standard unit, then to employ membership function of fuzzy theory,at first each objective function to change fuzzy set and express with membership function, membership function include the maximum constraint, minimum constraint, the decrease function of monotonic property, to become optimal of the multi-objective function, but still to scanty of weighting value with regard to adjustment of objective function, thus this thesis proposes the method of combine orthogonal arrays and particle swarm optimization to solve the problem of multi-objective optimal power flow, each objective function separately add weighting value, to setting each weighting value of objective function in order to the result of anticipating.

多目标最佳化的问题通常会面临到许多互相冲突且不能用同ㄧ标准单位的目标，於是利用模糊理论中的归属函数，首先将各目标函数转换成模糊集合并以归属函数表示，归属函数包含了最大限制值、最小限制值、单调的递减函数所组成，将各目标函数利用归属函数表示，形成单一目标函数的最佳化，但是仍缺乏权重值对於目标函数的调整，於是本篇论文提出ㄧ种权重值设定与粒子群优演算法的方法去解决多目标最佳电力潮流的问题，将各目标函上分别加上权重值设定各目标函数的权重值，得到预期的效果。

The notion of random fuzzy variable was first introduced by Baoding Liu in 2002. A fuzzy random variable is a function from a probability space to the set of fuzzy variables.

模糊随机变量定义为从概率空间到模糊变量集合的函数，而随机模糊变量定义为从可信性空间到随机变量集合的函数。

Until current versions of Python, most users have tried to shoehorn set functionality into standard Python types like lists and dictionaries as proxies to a real set type (even if they were not the perfect data structure for their applications).

在当今Python版本之前，许多人试图把集合函数作为真正集合类型的代理，勉强当作像列表和字典这样的Python标准类型使用(即使对他们的程序来说不是完美的数据结构)。

Adaptive Server Enterprise 第5章使用 set showplan 拆组集合消息 Evaluate Ungrouped type AGGREGATE.

当一个集合函数生成单个值时，该函数就被称为标量集合或者拆组集合。

Evaluate Ungrouped COUNT AGGREGATE.

因为标量集合返回单个值，所以在估计表的限定行时， Adaptive Server 使用一个内部变量计算集合函数的结果。

Methods: Five patients with parkinsonism or dystonia were assigned to general anesthesia using an modified endotracheal tube.

本实验依照人体实验之相关规定进行，五位患有帕金森氏症或肌张力异常的病人接受神经立体定位手术。

If you can benefit from this book, it is our honour.

如果您能从本书获益，这将是我们的荣幸。