Bellman equation
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Recursive condition for the value of a dynamic optimization or Markov decision problem.
LaTeX: V(s) = \max_{a}\left\{ r(s, a) + \beta \sum_{s'} P(s' \mid s, a)\, V(s') \right\}
Key findings
- Bellman equation was mentioned in 10 papers in the last 30 days (2026-09-27 to 2026-10-26), ranking #66 of the 104 equations and models mentioned.
- By journal category: Economics (5), Finance (2), Operations Research (2) and AI (1).
- Most of them appeared in Environmental and Resource Economics (1), Finance research letters (1) and Computational Economics (1).
- Often mentioned together with Mean-variance portfolio (Markowitz) (2), Logistic regression (logit) (2) and Linear and integer programming (2).
- Datasets named in the same papers: OR-Library (2), Eurostat (1) and International Energy Agency (IEA) (1).
- From Apr 2024 to Sep 2026, 81 archived papers mentioned Bellman equation in their title, abstract or keywords, most of them in Apr 2025 (7).
Mentions over 30 months
| Trend | Apr 24–Sep 24 | Oct 24–Sep 25 | Oct 25–Sep 26 | 30 months |
|---|---|---|---|---|
| 25 | 41 | 15 | 81 |
Cite this page
Scholar4AI. (2026). Bellman equation. Journal Research Rankings. Retrieved October 26, 2026, from https://scholar4ai.com/equations/bellman-equation
@misc{scholar4ai-equations-bellman-equation,
author = {{Scholar4AI}},
title = {Bellman equation},
year = {2026},
howpublished = {\url{https://scholar4ai.com/equations/bellman-equation}},
urldate = {2026-10-26},
note = {Journal Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}