Title
A new lower bound for the list update problem in the partial cost model
Abstract
The optimal competitive ratio for a randomized online list update algorithm is known to be at least 1.5 and at most 1.6, but the remaining gap is not yet closed. We present a new lower bound of 1.50084 for the partial cost model. The construction is based on game trees with incomplete information, which seem to be generally useful for the competitive analysis of online algorithms. 2001 Elsevier Science B.V.
Year
DOI
Venue
2001
10.1016/S0304-3975(00)00257-7
Theor. Comput. Sci.
Keywords
DocType
Volume
randomized online list update,list update problem,game tree,List-update,competitive analysis,Elsevier Science B.V.,partial cost model,online algorithm,remaining gap,incomplete information,Competitive analysis,On-line algorithms,Analysis of algorithms,optimal competitive ratio
Journal
268
Issue
ISSN
Citations 
1
Theoretical Computer Science
7
PageRank 
References 
Authors
0.51
11
3
Name
Order
Citations
PageRank
Christoph Ambühl135718.50
Bernd Gärtner246145.50
Bernhard von Stengel327538.51