%0 Journal Article %T A Feasible Direction Algorithm for Max Bisection via Low-RankFactorization
图的最大二等分问题的低秩可行方向算法 %A Mu Xuewen %A Liu Hongwei %A Liu Sanyang %A
穆学文 %A 刘红卫 %A 刘三阳 %J 系统科学与数学 %D 2007 %I %X Based on the semidefinite programming relaxation of {\rm max} Bisection, a feasible direction algorithm is given to solve the relaxation. Coupled with the 0.699 randomized method, the approximate solution of {\rm max} Bisection is obtained. Furthermore, its convergent result is given. The numerical experiment shows that the algorithm can solve the {\rm max} Bisection efficiently. %K Max bisection problem %K semidefinite programming relaxation %K feasible direction %K randomized method
图的最大二等分问题 %K 半定规划松弛 %K 可行方向算法 %K 随机扰动. %U http://www.alljournals.cn/get_abstract_url.aspx?pcid=6E709DC38FA1D09A4B578DD0906875B5B44D4D294832BB8E&cid=37F46C35E03B4B86&jid=0CD45CC5E994895A7F41A783D4235EC2&aid=2D9EB2234C7550B3564785B575E172D7&yid=A732AF04DDA03BB3&vid=DB817633AA4F79B9&iid=94C357A881DFC066&sid=5E191A234CD3698F&eid=C8C16F05E379B334&journal_id=1000-0577&journal_name=系统科学与数学&referenced_num=0&reference_num=12