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Pseudorandom Generators

  • Oded Goldreich
Part of the Algorithms and Combinatorics book series (AC, volume 17)

Summary

A fresh view at the question of randomness was taken in the theory of computing: It has been postulated that a distribution is pseudorandom if it cannot be told apart from the uniform distribution by an efficient procedure. The paradigm, originally associating efficient procedures with polynomial-time algorithms, has been applied also with respect to a variety of limited classes of such distinguishing procedures. Starting with the general paradigm, we survey the archetypical case of pseudorandom generators (withstanding any polynomial-time distinguisher), as well as generators withstanding space-bounded distinguishers, the derandomization of complexity classes such as BPP, and some special-purpose generators.

Keywords

Seed Length Pseudorandom Generator Expander Graph Pseudorandom Function Randomness Complexity 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 1999

Authors and Affiliations

  • Oded Goldreich
    • 1
  1. 1.Department of Computer Science and Applied MathematicsThe Weizmann Institute of ScienceRehovotIsrael

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