.png){kind=icon}
返回
Efficient DNA sticker algorithms for NP-complete graph problems
.png){kind=icon}
PRE
AI
DOI：10.1016/S0010-4655(02)00270-9.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Adleman's successful solution of a seven-vertex instance of the NP-complete Hamiltonian directed path problem by a DNA algorithm initiated the field of biomolecular computing. We provide DNA algorithms based on the sticker model to compute all k-cliques, independent k-sets, Hamiltonian paths, and Steiner trees with respect to a given edge or vertex set. The algorithms determine not merely the existence of a solution but yield all solutions (if any). For an undirected graph with n vertices and m edges, the running time of the algorithms is linear in n + m. For this, the sticker algorithms make use of small combinatorial input libraries instead of commonly used large libraries. The described algorithms are entirely theoretical in nature. They may become very useful in practice, when further advances in biotechnology lead to an efficient implementation of the sticker model. (C) 2002 Elsevier Science B.V. All rights reserved.
Keyword:
DNA
molecular computing
sticker model
graph theory
clique
independent set
hamiltonian path
steiner tree
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
3.4
论文数:
1.2W
被引数:
3.7W
机构
暂无机构信息
.png){kind=icon}
没有更多内容