Dynamic Programming Principles

Dynamic Programming Principles is a theoretical framework in dynamic optimization that distinguishes itself by decomposing sequential decision problems into recursively solvable subproblems through the systematic application of Bellman’s principle of optimality.

1K

Publications

72.2K

Citations

2.2K

Authors

849

Institutions

Publications per year

2017–2026

125

Authors

2.2K

  1. RB
    Richard Bellman

    RAND Corporation, United States

    19 publications · 1.9K citations

    17

    h-index

  2. RE
    Robert E. Kalaba

    RAND Corporation, United States

    8 publications · 175 citations

    8

    h-index

  3. MS
    Moshe Sniedovich

    The University of Melbourne, Australia

    6 publications · 267 citations

    6

    h-index

  4. CW
    Chung-Lie Wang

    University of Regina, Canada

    5 publications · 70 citations

    5

    h-index

  5. DP
    Dimitri P. Bertsekas

    Massachusetts Institute of Technology, United States

    5 publications · 1.4K citations

    5

    h-index

1–5 of 2.2K

Venues

  1. European Journal of Operational Research

    32 publications · 1.8K citations

    19

    h-index

  2. Management Science

    22 publications · 1.5K citations

    17

    h-index

  3. Journal of the Operational Research Society

    OR · 24 publications · 1.5K citations

    17

    h-index

  4. 15

    h-index

  5. Operations Research

    17 publications · 2.4K citations

    14

    h-index

1–5