Another motivation for reducing the randomness complexity of algorithms

  • Authors:
  • Oded Goldreich

  • Affiliations:
  • Faculty of Mathematics and Computer Science, The Weizmann Institute of Science, Israel

  • Venue:
  • Studies in complexity and cryptography
  • Year:
  • 2011

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Abstract

We observe that the randomness-complexity of an algorithm effects the time-complexity of implementing a version of it that utilizes a weak source of randomness (through a randomness-extractor). This provides an additional motivation for the study of the randomness complexity of randomized algorithms. We note that this motivation applies especially in the case that derandomization is prohibitingly costly.