Analysis of List Update Algorithms

Maximilian P. L. Haslbeck 🌐 and Tobias Nipkow 🌐

February 17, 2016

This is a development version of this entry. It might change over time and is not stable. Please refer to release versions for citations.

Abstract

These theories formalize the quantitative analysis of a number of classical algorithms for the list update problem: 2-competitiveness of move-to-front, the lower bound of 2 for the competitiveness of deterministic list update algorithms and 1.6-competitiveness of the randomized COMB algorithm, the best randomized list update algorithm known to date. The material is based on the first two chapters of Online Computation and Competitive Analysis by Borodin and El-Yaniv.

For an informal description see the FSTTCS 2016 publication Verified Analysis of List Update Algorithms by Haslbeck and Nipkow.

BSD License

Topics

Theories of List_Update