Improved approximation algorithms for metric MaxTSP
โ Scribed by Zhi-Zhong Chen; Takayuki Nagoya
- Book ID
- 106407075
- Publisher
- Springer US
- Year
- 2006
- Tongue
- English
- Weight
- 380 KB
- Volume
- 13
- Category
- Article
- ISSN
- 1382-6905
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
MAX SAT (the maximum s~tisfiability problem) is stated as follows: given a set of clauses with weights, find a truth assignment that maximizes the sum of the weights of the satisfied clauses. In this paper, we consider approxima~ tion algorithms for MAX SAT proposed by Goemans and Williamson and pze
Multiple sequence alignment is a task at the heart of much of current computaw x tional biology 4 . Several different objective functions have been proposed to formalize the task of multiple sequence alignment, but efficient algorithms are lacking in each case. Thus multiple sequence alignment is on