Algorithms for random generation and counting: a Markov chain approach
Algorithms for random generation and counting: a Markov chain approach
Trading Space for Time in Undirected $s-t$ Connectivity
SIAM Journal on Computing
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Mixing time and long paths in graphs
SODA '02 Proceedings of the thirteenth annual ACM-SIAM symposium on Discrete algorithms
A stochastic process on the hypercube with applications to peer-to-peer networks
Proceedings of the thirty-fifth annual ACM symposium on Theory of computing
Gossip-Based Computation of Aggregate Information
FOCS '03 Proceedings of the 44th Annual IEEE Symposium on Foundations of Computer Science
Random Walk for Self-Stabilizing Group Communication in Ad Hoc Networks
IEEE Transactions on Mobile Computing
Random walks in peer-to-peer networks: algorithms and evaluation
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The power of choice in random walks: an empirical study
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Many random walks are faster than one
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Random walks, universal traversal sequences, and the complexity of maze problems
SFCS '79 Proceedings of the 20th Annual Symposium on Foundations of Computer Science
SFCS '88 Proceedings of the 29th Annual Symposium on Foundations of Computer Science
How to Explore a Fast-Changing World (Cover Time of a Simple Random Walk on Evolving Graphs)
ICALP '08 Proceedings of the 35th international colloquium on Automata, Languages and Programming, Part I
An Expansion Tester for Bounded Degree Graphs
ICALP '08 Proceedings of the 35th international colloquium on Automata, Languages and Programming, Part I
Multiple Random Walks and Interacting Particle Systems
ICALP '09 Proceedings of the 36th Internatilonal Collogquium on Automata, Languages and Programming: Part II
Impact of local topological information on random walks on finite graphs
ICALP'03 Proceedings of the 30th international conference on Automata, languages and programming
Optimal cover time for a graph-based coupon collector process
ICALP'05 Proceedings of the 32nd international conference on Automata, Languages and Programming
Speeding up random walks with neighborhood exploration
SODA '10 Proceedings of the twenty-first annual ACM-SIAM symposium on Discrete Algorithms
Tight bounds for the cover time of multiple random walks
Theoretical Computer Science
Tight bounds on information dissemination in sparse mobile networks
Proceedings of the 30th annual ACM SIGACT-SIGOPS symposium on Principles of distributed computing
Random walks, interacting particles, dynamic networks: randomness can be helpful
SIROCCO'11 Proceedings of the 18th international conference on Structural information and communication complexity
The multi-agent rotor-router on the ring: a deterministic alternative to parallel random walks
Proceedings of the 2013 ACM symposium on Principles of distributed computing
Coalescing-branching random walks on graphs
Proceedings of the twenty-fifth annual ACM symposium on Parallelism in algorithms and architectures
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We study the cover time of multiple random walks. Given a graph G of n vertices, assume that k independent random walks start from the same vertex. The parameter of interest is the speed-up defined as the ratio between the cover time of one and the cover time of k random walks. Recently Alon et al. developed several bounds that are based on the quotient between the cover time and maximum hitting times. Their technique gives a speed-up of *** (k ) on many graphs, however, for many graph classes, k has to be bounded by ${\mathcal{O}}(\log n)$. They also conjectured that, for any 1 ≤ k ≤ n , the speed-up is at most ${\mathcal{O}}(k)$ on any graph. As our main results, we prove the following: We present a new lower bound on the speed-up that depends on the mixing-time. It gives a speed-up of *** (k ) on many graphs, even if k is as large as n . We prove that the speed-up is ${\mathcal{O}}(k \log n)$ on any graph. Under rather mild conditions, we can also improve this bound to ${\mathcal{O}}(k)$, matching exactly the conjecture of Alon et al. We find the correct order of the speed-up for any value of 1 ≤ k ≤ n on hypercubes, random graphs and expanders. For d -dimensional torus graphs (d 2), our bounds are tight up to a factor of ${\mathcal{O}}(\log n)$. Our findings also reveal a surprisingly sharp dichotomy on several graphs (including d -dim. torus and hypercubes): up to a certain threshold the speed-up is k , while there is no additional speed-up above the threshold.