For a positive integer \(k \ge 1\) , a k-star ( \(k^+\) -star, \(k^-\) -star, respectively) is a connected graph containing a degree- \(\ell \) vertex and \(\ell \) degree-1 vertices, where \(\ell = k\) ( \(\ell \ge k\) , \(1 \le \ell \le k\) , respectively). The \(k^+\) -star packing problem is to cover as many vertices of an input graph G as possible using vertex-disjoint \(k^+\) -stars in G; and given \(k > t \ge 1\) , the \(k^-/t\) -star packing problem is to cover as many vertices of G as possible using vertex-disjoint \(k^-\) -stars but no t-stars in G. Both problems are NP-hard for any fixed \(k \ge 2\) . We present a \((1 + \frac{k^2}{2k+1})\) - and a \(\frac{3}{2}\) -approximation algorithms for the \(k^+\) -star packing problem when \(k \ge 3\) and \(k = 2\) , respectively, and a \((1 + \frac{1}{t + 1 + 1/k})\) -approximation algorithm for the \(k^-/t\) -star packing problem when \(k > t \ge 2\) . They are all local search algorithms and they improve the best known approximation algorithms for the problems, respectively.

错误:搜索内容不能为空,请输入英文关键词
错误:关键词超出字数限制,请精简
高级检索

Approximation Algorithms for Non-sequential Star Packing Problems

  • Mengyuan Hu,
  • An Zhang,
  • Yong Chen,
  • Mingyang Gong,
  • Guohui Lin

摘要

For a positive integer \(k \ge 1\) , a k-star ( \(k^+\) -star, \(k^-\) -star, respectively) is a connected graph containing a degree- \(\ell \) vertex and \(\ell \) degree-1 vertices, where \(\ell = k\) ( \(\ell \ge k\) , \(1 \le \ell \le k\) , respectively). The \(k^+\) -star packing problem is to cover as many vertices of an input graph G as possible using vertex-disjoint \(k^+\) -stars in G; and given \(k > t \ge 1\) , the \(k^-/t\) -star packing problem is to cover as many vertices of G as possible using vertex-disjoint \(k^-\) -stars but no t-stars in G. Both problems are NP-hard for any fixed \(k \ge 2\) . We present a \((1 + \frac{k^2}{2k+1})\) - and a \(\frac{3}{2}\) -approximation algorithms for the \(k^+\) -star packing problem when \(k \ge 3\) and \(k = 2\) , respectively, and a \((1 + \frac{1}{t + 1 + 1/k})\) -approximation algorithm for the \(k^-/t\) -star packing problem when \(k > t \ge 2\) . They are all local search algorithms and they improve the best known approximation algorithms for the problems, respectively.