期刊文献+

与地理相关数据的最优显示问题在多项式时间内可解

The Optimised Visualization of the Geometry-related Data in Po lynomial Time
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摘要 证明在一定条件下,与地理相关数据的最优显示问题在多项式时间内可解.通过分析最优显示问题,给出它的数学模型及评价标准.并把它转化为二分图匹配问题,给出了算法.这个算法可以在多项式时间内求得最优解. It is intended to prove that the of the optimum displaying problems related with geometry data solution can be found in polynomial time, under certain condition. After a brief introduction of the background knowledge, this problem is analyzed and its mathematical model and its standards are stated. By transforming the problem into the marching problem of bipartite graph, an algorithm is given, which can find the best solution in the polynomial time. Thus the goal is achieved. At the end of this paper, our future work is pointed out also.
出处 《吉林大学学报(理学版)》 CAS CSCD 北大核心 2003年第2期186-191,共6页 Journal of Jilin University:Science Edition
基金 教育部博士点基金(批准号:20010183041).
关键词 信息可视化 像素 高维数据 与地理相关数据 多项式时间可解 数据显示 地理信息 information visualization multidimensional data geometry-related data pixel-oriented visualization technique solvable in polynomial time
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参考文献4

  • 1[1]Keim D A. Pixel-oriented Visualization Techniques for Exploring Very Large Databases [J]. Journal of Computational and Graphical Statistics, 1996, 5(1): 58~77.
  • 2[2]Keim D A. Pixel-oriented Database Visualizations [J]. Sigmod Record, 1996, 25(4): 35~39.
  • 3[3]Keim D A. Designing Pixel-oriented Visualization Techniques: Theory and Applications [J]. Transactions on Visualization and Computer Graphics, 2000, 6(1): 59~78.
  • 4[4]Keim D A. Annemarrie Hermann: The Gridfit Algorithm: An Efficient and Effective Approach to Visualizing Large Amounts of Spatial Data [C]. Proceedings of the Conference on Visnalization'98. North Carolina: IEEE Visualization, 1998.

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