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Y. Han. A fast derandomization scheme and its applications. Tech. Rep. No. 180-90, Dept. of Computer Science, University of Kentucky, Lexington, Kentucky, to appear on SIAM J. on Computing.

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Improved Algorithms via Approximations of Probability.. - Chari, Rohatgi.. (1997)   (11 citations)  (Correct)

.... = V; E) with jV j = n, jEj = m and having a maximum degree Delta, a ( Delta 1) vertex coloring of the graph can be computed by an ( n m) log 3 n log log n) algorithm [20] an improved ( n m) log log n; log 2 n log log n) algorithm that runs on the CREW PRAM, has been devised by Han [13]. We improve these time complexities by presenting an ( n m)n ffi ; log 2 n) algorithm where ffi 0 is any constant. This gives faster algorithms for other problems such as the much harder Delta vertex coloring problem [25] We use similar ideas to derive a faster algorithm for ....

Y. Han, A fast derandomization scheme and its applications, SIAM J. Comput., 25:52--82, 1996.


An Improvement on Parallel Computation of a Maximal Matching - Han   Self-citation (Han)   (Correct)

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Y. Han. A fast derandomization scheme and its applications. Tech. Rep. No. 180-90, Dept. of Computer Science, University of Kentucky, Lexington, Kentucky, to appear on SIAM J. on Computing.

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