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We give an equivalent characterization of the metric D〓 and investigate the properties of the sendgraph of fuzzy numbers.

给出了模糊数空间上D〓度量的等价刻画,讨论了模糊数的send-图性质。

In this paper, we give a section theorem of Ky Fan type and its equivalent theorem in hyperconvex metric spaces, and as their applications we obtain some minimax theorems and a coincidence theorem.

赵云河 ,张惠丽文章给出了超凸度量空间中的一个Ky Fan型截口定理及其等价定理,作为它们的应用,得到了一些极大极小定理和一个重合定理。

Chapter 3, in the above system, gives out the definitions of topological new transitivity, topological transitivity, topological strong transitivity and topological conjugate of a sequence of maps, studies basic properties of the above topological conjugate, and obtains some main results, proves topological new transitivity and topological transitivity are equivalent u-under a compact metric space, a sequence of full maps and interchangeable with each other, and that some conclusions associated with topological conjugate.

第三章,在上述系统中给出了一列映射的拓扑新传递、拓扑传递、拓扑强传递和拓扑共轭的定义;研究了一列映射的拓扑共轭的基本性质,得到了一些主要结果;证明了在底空间是紧致度量空间、一列映射是满映射并且两两可交换的条件下拓扑新传递和拓扑传递是等价的;还证明了几个与拓扑共轭相关的结论。

Thirdly, three indexes are given to measure the precision of the line uncertainty based on the e model: the visualization graph, the average error band width and the error band area.

给出了基于该模型衡量线元位置不确定性的三种度量指标:可视化图形、平均误差带宽和误差带的面积。

A more implementable measure is the Root Mean Square error between the original image and the image that has been compressed.

更有效的度量方法则是原始图像与压缩图像之间的均方根差。

Measurement error models based on the model was developed for the first time in domestic and foreign statistical software.

以此为基础开发的度量误差模型,在国内外的统计软件中属于首创。

However, it is advisable to estimate productivity at approximately twice the current metric.

但是,明智的做法是以现有度量的两倍作为生产力的估计。

To overcome this problem ,the method based on correlation between kernel density estimation of tracking region is proposed.

本文提出了基于核密度估计相关的距离度量,在描述参考目标和候选目标时,考虑到诸如颜色、梯度等目标像点的特征区间的同时,融入了目标像点的空间位置信息,使得跟踪算法更加稳健和精确,能够更好适应目标和背景变化复杂的应用场合。

Euclid distance is commonly used to measure distance in clustering analysis algorithm.

聚类分析中最常用的距离度量方法是欧氏距离。

Because of the difference of its metric from Euclidean spaces, many essential concepts in Minkowski space change a lot. This makes the conclusions of some problems in Minkowski space much different.

由于度量的不同,导致了一些基本概念有了质的变化,使得Minkowski空间的一些问题与Euclidean空间相比有着出人意料的结论。

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