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data distribution中文是什么意思

  • 数据分布
  • 数据分配
  • 资料分布

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  • 例句与用法
  • This algorithm can identify and choose in - core or out - of core algorithm based on different scale of computation and cluster during each computing phase . and parallelization during each phase is implemented . this algorithm can solve the residual equations parallelly and the current data distribution of residual equations does not change
    ( 4 )给出了一种可以在计算的每一个阶段根据不同的计算规模和机群规模,自动识别选用内存或外存算法的边界元子域并行算法;实现了各主要计算步骤的并行化;对于剩余方程组的并行求解,算法可以在不改变当前数据分布状态下,实行并行求解。
  • However , in rare cases this can result in less accurate statistics if statistics were manually computed in an earlier version of sql server by using fullscan or another high sampling rate ; or if the table that is being sampled is larger than 8 mb , and the data distribution is not random
    但在下列极少数情况下,此功能可导致统计信息不太准确:如果统计信息在早期版本的sql server中是使用fullscan或其他高采样速率手动计算的;如果抽样表大于8 mb ,并且数据分发不是随机进行的。
  • Based on the above factors , we ranked first in both the 10 university website as a research resource utilization information content , links from the perspective of the university established a web site , according to the indicators data collection , using the elements from the analysis and evaluation of the overall university website resource utilization , resulting in foreign universities resource utilization better than domestic universities after on the basis of analysis of its causes , according to the indicators do links statistical analysis of data distribution , using t test to differences indicators were analyzed internally , foreign website features data distribution , data distribution of its comparative study , the final results of a national university on the basis of comparative website problems and make responses
    对网络信息资源的评价已经成为网络信息计量学的研究热点。本文分别选取国内外排名前十的大学为研究对象,以大学网站的网络信息资源的利用的若干可计量特征为研究对象,分析了国内外大学网站信息资源利用的现状,从链接角度建立了一套指标体系,使用altavista搜索引擎对数据进行搜集,使用主成分分析方法对国内外大学网站信息资源利用情况从整体上进行评价,最后采用专门的统计软件对数据统计分析,利用t检验找出显著性指标,从显著性指标对国内外大学网站信息资源利用情况进行深入研究和比较分析。
  • The paper studies much key technology of raid design , including the management of cache , data distribution , the equalization of data memory , the supervision of disk performance , the optimization of disk performance and so on , discusses the importance of all kinds of key technology in different applications of raid
    本文深入研究了raid设计中的多种关键技术,对cache的管理,数据分布,数据存储的均衡,磁盘性能监控,磁盘性能的优化等方面。讨论了各种关键技术对raid的不同应用中的重要性,在进行raid系统设计中,须在不同的应用环境中均衡各种raid关键技术,从而获得最佳的性能。
  • The hla standard is consisted of three components : hla rules , hla interface specification and object model template . and the software implementing the hla interface specification is run - time infrastructure , which provides the simulations with seven groups of services ( federation management , declaration management , object management , time management , data distribution management , ownership management and support services ) at the same way as the distributed operation system provides services for applications . but the rti itself is not one part of the hla standard
    Hla标准由规则、接口规范、对象模型模板三部分组成,而rti ( run - timeinfrastructure ,运行时底层结构)是实现hla标准中接口规范的软件,它以类似于分布式操作系统为应用程序提供服务的方式给仿真应用提供了联邦管理、声明管理、对象管理、时间管理、数据分发管理、所有权管理和支持的服务等七组服务,但是rti本身并不属于hla标准。
  • Data clustering , an important branch of data mining , is the process of group the data into classes or cluster so that the objects within a cluster have high similarity in comparison to one another , but are very dissimilar to objects in other clusters . and it is helpful to search some schemes and data distributions , which are novel , effective , useful or understandable
    聚类是将数据点集合分成若干类或簇( cluster ) ,使得每个簇中的数据点之间最大程度地相似,而不同簇中的数据点最大程度地不同;从而发现人数掘集中有效的、新颖的、有用的利可以现解的模式利数据分布。
  • 3 ) based on 3 - time data distribution and 4 - time two - dimension matrix transposition , the parallel spectral algorithm of adjoint models is put forward , achieves good load balance , decreases the communication overhead , and holds good application and high performance scalability
    3 )提出了伴随模式的基于3次数据剖分、 4次矩阵二维转置数据重分配的并行谱离散方法;该并行算法实现了谱离散方法全部并行计算过程的负载平衡、减少了通信开销,具有并行计算高效可扩展性。
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Last modified time:Thu, 14 Aug 2025 00:29:56 GMT

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