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Multiple trials is the basic concept of many parallel simulated annealing. It is to perform multiple trials at the same time to search acceptable solutions. The division simulated annealing with no communication and The clustering simulated annealing are two common types of parallel simulated annealing methods. The division simulated annealing with no communication makes each processor generate its own adjacent solution from its own current solution and compute the acceptance probability for a adjacent solution. Each of the processors searches solutions without communicating each other. Clustering simulated annealing makes each processor generate its own adjacent solution from a common current solution and compute the acceptance probability for each adjacent solution. Then, it decides which adjacent solution should be used to replace current solution according to a pre-specified rule.

许多平行模拟退火法之理论依据为多向试验,利用同一时间探索更多方向的试验来拓展搜寻的广度或深度,不进行沟通的分工模拟退火法(the division simulated annealing with no communication)以及丛集模拟退火法(the clustering simulated annealing)皆为平行化的模拟退火法,前者定义为各个处理器针对各自的起始解进行搜寻,产生各自的搜寻序列,在搜寻过程中处理器不进行任何沟通,各处理器仅针对自身之目前解进行搜寻;而后者定义为让所有处理器针对同一目前解进行运算搜寻各自的可能解,并各自决定其产出解之接受机率,最后根据事先决定之规则进行沟通比较,挑选其中一个可接受解取代目前解。

Parallel coordinates is one of the mainstream technology of information visualization.

多元数据的平行坐标是信息可视化的主流技术之一。

The parallel coordinates technique is one of the important data visualization means to present multi-dimensional data.

平行坐标对多维数据的表达是数据可视化的重要方法之一。

Parallel coordinates is one of the main technology of information visualization and is widely used in visual data analysis and pattern recognition.

平行坐标作为信息可视化的主流技术,在可视化数据分析和模式识别领域有广泛应用。

A method of visual data classifying is improved by integrating visual technology of parallel coordinates with data classification algorithms.

提出平行坐标数据可视化技术与分类算法集成到一起进行可视化数据分类的方法。

A visual data mining prototype system, called KingVis, based on parallel coordinates was designed and implemented.

设计实现基于平行坐标的可视化数据挖掘原型系统KingVis,其中实现了可视化聚类分析和可视化数据分类两个模块。

The main contributions in this thesis are in two aspects: [1] A method of visual clustering analysis is improved by data visual technology of parallel coordinates.

论文主要研究成果是在三个方面:[1] 提出通过用户与平行坐标可视化技术进行交互,来进行可视化聚类分析的方法。

The system consists of two modules: visual clustering analysis and visual data classifying, with respect to clustering algorithms and classifying algorithms, in which the visual technology of parallel coordinates is combined to obtain better visual data mining effects.

将聚类算法和分类算法与平行坐标的可视化技术结合起来,达到更好的可视化数据挖掘效果。

This paper determines the design idea of combining VISC with structural optimization design. Problems which existed in structural optimization design are analyzed and contents of optimization process are determined. Calling and dominating calculation program written in FORTRAN in the development environment of Delphi are realized by the techniques of FORTRAN/Delphi mixed-language programming and multi-threaded application. Parallel coordinates visualization technology is deeply researched and applied in software exploitation of optimization process. Essential programs of VISC software are compiled. Approaches which can improve efficiency of optimization are discussed. In the end, functional modules are integrated and a typical computational example is verified.

本文通过对结构优化设计和科学可视化的研究,确立了天线结构优化设计与科学计算可视化技术紧密结合的思路;根据天线结构优化设计的特点,针对优化设计中存在的问题,对系统结构优化的总体框架进行了分析和论述,确定了优化过程可视化的具体内容;通过FORTRAN与Delphi的混合语言编程实现了在Delphi环境下对FORTRAN计算程序的调控,充分利用了原有FORTRAN程序资源;对平行坐标技术进行深入研究,并将其应用于优化过程可视化模块的软件开发中,实现多维数据空间的可视化;编写优化计算过程可视化软件的核心程序;探讨了提高优化效率的途径;对基于可视化的天线结构优化设计软件系统进行集成,针对某天线进行了算例验证。

This course will introduce the basic theory of parallel computing, teach how to identify problems that are parallelizable, and demonstrate how to apply the principles of parallel computing to civil engineering problems. Students will have opportunities to obtain hands-on experience by developing their own parallel programs. The prerequisite of this course is computer programming. It is suitable for graduate students to choose as an elective.

在本课程中将介绍平行运算的原理(Concurrency and Synchronization),分辨可平行化和不可平行化的问题,探讨平行运算的演算法和可计算性,以及介绍将程式平行化的实用技术,并分析程式容错性和可靠度(Fault Tolerance and Reliability),以帮助学生将平行运算应用在土木工程和学术研究中,学生将有机会使用平行化程式语言开发应用程式,本课程先修课程为程式设计,建议研究所同学选修。

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