Amortized efficiency of list update and paging rules
Communications of the ACM
Online computation and competitive analysis
Online computation and competitive analysis
Online list accessing algorithms and their applications: recent empirical evidence
SODA '97 Proceedings of the eighth annual ACM-SIAM symposium on Discrete algorithms
On the complexity of edge traversing
Journal of the ACM (JACM)
Exploring Unknown Environments
SIAM Journal on Computing
Developments from a June 1996 seminar on Online algorithms: the state of the art
Developments from a June 1996 seminar on Online algorithms: the state of the art
SFCS '90 Proceedings of the 31st Annual Symposium on Foundations of Computer Science
Exploring an unknown graph efficiently
ESA'05 Proceedings of the 13th annual European conference on Algorithms
Online graph exploration: New results on old and new algorithms
Theoretical Computer Science
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We conduct an experimental evaluation of all major online graph traversal algorithms. This includes many simple natural algorithms as well as more sophisticated strategies. The observations we made watching the animated algorithms explore the graphs in the interactive experiments motivated us to introduce some variants of the original algorithms. Since the theoretical bounds for deterministic online algorithms are rather bad and no better bounds for randomized algorithms are known, our work helps to provide a better insight into the practical performance of these algorithms on various graph families. It is to observe that all the tested algorithm have a performance very close to the optimum offline algorithm in a huge family of random graphs. Only few very specific lower bound examples cause bad results.