(Enter summary)
Abstract: We survey techniques for replacing randomized algorithms in computational geometry
by deterministic ones with a similar asymptotic running time.
1 Randomized algorithms and derandomization
A rapid growth of knowledge about randomized algorithms stimulates research in derandomization,
that is, replacing randomized algorithms by deterministic ones with as small
decrease of efficiency as possible. Related to the problem of derandomization is the question
of reducing the amount of random bits... (Update)
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BibTeX entry: (Update)
J. Matousek. Derandomization in computational geometry. Journal of Algorithms 20 (1996), 545--580. http://citeseer.ist.psu.edu/matousek96derandomization.html More
@article{ matousek96derandomization,
author = "Jiri Matousek",
title = "Derandomization in Computational Geometry",
journal = "J. Algorithms",
volume = "20",
number = "3",
pages = "545-580",
year = "1996",
url = "citeseer.ist.psu.edu/matousek96derandomization.html" }
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Backwards analysis of randomized geometric algorithms
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The graph only includes citing articles where the year of publication is known.
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