The problem of finding an implicit representation for a graph such that vertex adjacency can be tested quickly is fundamental to all graph algorithms. In particular, it is possible to represent sparse graphs on n vertices using O(n) space such that vertex adjacency is tested in O(1) time. We show here how to construct such a representation efficiently by providing simple and optimal algorithms, both in a sequential and a parallel setting. Our sequential algorithm runs in O(n) time. The parallel algorithm runs in O(log n) time using O(n/log n) CRCW PRAM processors, or in O(log n log* n) time using O(n/log n log* n) EREW PRAM processors. Previous results for this problem are based on matroid partitioning and thus have a high complexity.

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Discrete Applied Mathematics
Computational Geometry Lab

Arikati, S.R. (Srinivasa R.), Maheshwari, A, & Zaroliagis, C.D. (Christos D.). (1997). Efficient computation of implicit representations of sparse graphs. Discrete Applied Mathematics, 78(1-3), 1–16. doi:10.1016/S0166-218X(97)00007-3