Randomness-efficient Algorithms

Randomness-Efficient Algorithms is a computational method that belongs to the class of randomized algorithms and is distinguished by its minimization of the number of random bits required to achieve a desired level of performance or correctness.

42

Publications

3.1K

Citations

72

Authors

41

Institutions

Publications per year

2017–2026

3

Authors

72

  1. MP
    Mike Paterson

    University of Warwick, United Kingdom

    3 publications · 276 citations

    3

    h-index

  2. MJ
    Marcin Jurdziński

    University of Warwick, United Kingdom

    3 publications · 276 citations

    3

    h-index

  3. DZ
    David Zuckerman

    The University of Texas at Austin, United States

    3 publications · 550 citations

    3

    h-index

  4. UZ
    Uri Zwick

    Tel Aviv University, Israel

    3 publications · 276 citations

    3

    h-index

  5. AC
    Amin Coja‐Oghlan

    Goethe University Frankfurt, Germany

    2 publications · 105 citations

    2

    h-index

1–5 of 72

Venues

  1. SIAM Journal on Computing

    5 publications · 363 citations

    5

    h-index

  2. Theoretical Computer Science

    3 publications · 58 citations

    3

    h-index

  3. Information and Computation

    2 publications · 47 citations

    2

    h-index

  4. Information Sciences

    2 publications · 243 citations

    2

    h-index

  5. The Astrophysical Journal

    ApJ · 1 publications · 31 citations

    1

    h-index

1–5