图 书 馆
不确定数据下的几何计算Geometric Computing over Uncertain Data |
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| 课程网址: | http://videolectures.net/algo2012_suri_geometric_computing/ |
| 主讲教师: | Subhash Suri |
| 开课单位: | 加利福尼亚大学 |
| 开课时间: | 2012-10-02 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | Geometric structures such as the convex hull, Delaunay triangulation, or minimum spanning tree (MST) are fundamental tools for reasoning about multi-dimensional data. What happens to these structures when the underlying data points are known with only partial certainty? For instance, what is the expected cost of the MST of a set of points, each known to be alive with some probability? Or, in a set of uncertain points, how likely is it that the closest pair is within distance L? This talk explores the effects of data uncertainty on the complexity of basic geometric problems. |
| 关 键 词: | 不确定数据; 几何计算; 三角剖分 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2021-01-30：nkq |
| 阅读次数: | 46 |