Gauss-seidel Dynamic Programming

Gauss-Seidel Dynamic Programming is a variant of iterative dynamic programming methods in which value updates are performed sequentially using the most recently computed values, thereby accelerating convergence by exploiting updated information within each iteration.

2

Publications

76

Citations

2

Authors

2

Institutions

Publications per year

2017–2026

1

Authors

2

  1. PK
    Peng‐Yong Kong

    Khalifa University of Science and Technology, United Arab Emirates

    1 publications · 28 citations

    1

    h-index

  2. DP
    Dimitri P. Bertsekas

    Massachusetts Institute of Technology, United States

    1 publications · 48 citations

    1

    h-index

1–2 of 2

Institutions

2

  1. Khalifa University of Science and Technology

    Abu Dhabi, United Arab Emirates

    1 h-index

    1 publications

    28 citations

  2. Massachusetts Institute of Technology

    Cambridge, United States

    1 h-index

    1 publications

    48 citations

1–2 of 2

Venues

  1. SIAM Journal on Control and Optimization

    1 publications · 48 citations

    1

    h-index

  2. IEEE/ACM Transactions on Networking

    TON · 1 publications · 28 citations

    1

    h-index

1–2