譚 学厚

Tan Xuehou

  • 教授
  • 学位:博士(工学)

基本情報

所属

  • Undergraduate School of Information Science and Technology / Department of Applied Computer Engineering
  • Graduate School of Science and Technology / Course of Science and Technology
  • Graduate School of Engineering / Course of Electrical and Electronic Engineering

詳細情報

研究分野

  • Informatics Information theory

論文

On-line exploration of an unbounded region with one obstacle

Largest convex hulls for convex-hull disjoint clusters with bounded size

An Optimal and Practical Algorithm for the Planar 2-center Problem

Revisiting the Stretch Factor of Delaunay Triangulations of Points in Convex Position

Largest Convex Hulls for Constant Size, Convex-Hull Disjoint Clusters

Improved stretch factor of Delaunay triangulations of points in convex position

Improved exploration of unknown polygons

On the upper bound on the average distance from the Fermat-Weber center of a convex body

Charactering link-2 LR-visibility polygons and related problems

Computing simple paths from given points inside a polygon,

Improved Stretch Factor of Delaunay Triangulations of Points in Convex Position

The touring polygons problem revised

The capture time of a planar graph

An improved algorithm for computing a shortest watchman route for lines,

Simple O(n~log2 n) Algorithms for the Planar 2-Center Problem

Effcient algorithms for touring a sequence of convex polygons and related problems

A knowledge discovery framework for the assessment of tactical behaviour in soccer based on spatiotemporal data

Competitive Strategies for Evacuating from an Unknown Affected Area

Evacuating from an unknown affected area

An Optimal On-line Strategy for Walking in Streets with Minimal Sensing

書籍等出版物

  • Frontiers in Algorithmics and Algorithmic Aspects in Information and Management
  • Computational Geometry, Graph and Applications
  • Discrete and Computational Geometry

ResearchMapへ移動します

Contact Us

Inquiries about coverage

Public Affairs Division Public Affairs and Communications Department

Tel. 0463-63-4670(direct dialing)