会议专题

Improved Approximation Algorithms for the 2-Catalog Segmentation Problems using Semidefinite Programming Relaxations

  In this paper, we consider 2-catalog segmentation problems. Using the techniques of non-uniform rotation and semidefinite programming rounding, we propose an improved 0.7317-approximation algorithm for the disjoint version which can deduce a 0.6338 approximation ratio for the joint version. We also give the performance guarantee curve which depends on the input data and the optimal solution of the corresponding semidefinite programming relaxation.

2-catalog segmentation problem Approximation algorithm Semidefinite programming

Chenchen Wu Dachuan Xu Xinyuan Zhao

Department of Applied Mathematics, Beijing University of Technology 100 Pingleyuan, Chaoyang District, Beijing 100124, China

国际会议

第8届国际最优化方法及应用大会

上海

英文

370-371

2010-12-10(万方平台首次上网日期,不代表论文的发表时间)