APPROXIMATION ALGORITHM FOR MAX-BISECTION PROBLEM WITH THE POSITIVE SEMIDEFINITE RELAXATION
APPROXIMATION ALGORITHM FOR MAX-BISECTION PROBLEM WITH THE POSITIVE SEMIDEFINITE RELAXATION作者机构:Institute of Applied Mathematics Academy of Mathematics and System Sciences Chinese Academy of Sciences 北京 100080
出 版 物:《Journal of Computational Mathematics》 (计算数学(英文))
年 卷 期:2003年第21卷第3期
页 面:357-366页
核心收录:
学科分类:07[理学] 070102[理学-计算数学] 0701[理学-数学]
主 题:Approximation algorithm Max-Bisection problem Semidefinite programming Approximation ratio.
摘 要:Using outward rotations, we obtain an approximation algorithm for Max-Bisection problem, i.e., partitioning the vertices of an undirected graph into two blocks of equal cardinality so as to maximize the weights of crossing edges. In many interesting cases, the algorithm performs better than the algorithms of Ye and of Halperin and Zwick. The main tool used to obtain this result is semidefinite programming.