日本語
 
Help Privacy Policy ポリシー/免責事項
  詳細検索ブラウズ

アイテム詳細


公開

報告書

A faster algorithm for computing a longest common increasing subsequence

MPS-Authors
/persons/resource/persons44744

Katriel,  Irit
Algorithms and Complexity, MPI for Informatics, Max Planck Society;

/persons/resource/persons44874

Kutz,  Martin
Algorithms and Complexity, MPI for Informatics, Max Planck Society;

External Resource
There are no locators available
Fulltext (restricted access)
There are currently no full texts shared for your IP range.
フルテキスト (公開)

MPI-I-2005-1-007.pdf
(全文テキスト(全般)), 238KB

付随資料 (公開)
There is no public supplementary material available
引用

Katriel, I., & Kutz, M.(2005). A faster algorithm for computing a longest common increasing subsequence (MPI-I-2005-1-007). Saarbrücken: Max-Planck-Institut für Informatik.


引用: https://hdl.handle.net/11858/00-001M-0000-0014-684F-8
要旨
Let $A=\langle a_1,\dots,a_n\rangle$ and $B=\langle b_1,\dots,b_m \rangle$ be two sequences with $m \ge n$, whose elements are drawn from a totally ordered set. We present an algorithm that finds a longest common increasing subsequence of $A$ and $B$ in $O(m\log m+n\ell\log n)$ time and $O(m + n\ell)$ space, where $\ell$ is the length of the output. A previous algorithm by Yang et al. needs $\Theta(mn)$ time and space, so ours is faster for a wide range of values of $m,n$ and $\ell$.