Memoization

Memoization is a computational optimization technique within functional programming that belongs to the class of caching strategies, distinguished by its specific application of storing and reusing the results of pure function calls based on their input arguments to avoid redundant computation.

97

Publications

3.6K

Citations

225

Authors

104

Institutions

Publications per year

2017–2026

20

Authors

225

  1. GE
    Guy E. Blelloch

    Carnegie Mellon University, United States

    6 publications · 298 citations

    6

    h-index

  2. UA
    Umut A. Acar

    Carnegie Mellon University, United States

    6 publications · 298 citations

    6

    h-index

  3. MH
    Marty Hall

    Johns Hopkins University Applied Physics Laboratory, United States

    3 publications · 54 citations

    3

    h-index

  4. RH
    Robert Harper

    Carnegie Mellon University, United States

    3 publications · 196 citations

    3

    h-index

  5. MB
    M. Blume

    Centre National de la Recherche Scientifique, France

    3 publications · 142 citations

    3

    h-index

1–5 of 225

Venues

  1. ACM SIGPLAN Notices

    5 publications · 124 citations

    5

    h-index

  2. 3

    h-index

  3. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 2 publications · 58 citations

    2

    h-index

  4. Nature

    2 publications · 613 citations

    2

    h-index

  5. Studies in health technology and informatics

    Book series · 1 publications · 20 citations

    1

    h-index

1–5