LATENT REFERENCES / TAG2
Bellman Equation
Original title: ベルマン方程式
This reference note belongs to Tag2 in Latent References, an archive curated by Keigo Yoshida. Its archive region is Chaos theory · Lorenz equations. The note preserves its source text and links so that readers can trace the material behind the 3D map.
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English translation of the archived note. JP shows the original text. Source links and literal code are retained; the translation does not update or independently verify the source claims.
The Bellman equation expresses a necessary condition for optimality in mathematical optimization known as dynamic programming, and is named after its discoverer Richard Bellman. Also called the dynamic programming equation. It describes the relationship between an initial choice at a particular time and the value of subsequent decision problems.
https://scrapbox.io/files/64c65832d7fd03001c21e8e7.png
ベルマン方程式は、動的計画法として知られる数学的最適化において、最適性の必要条件を表す方程式であり、発見者のリチャード・ベルマンにちなんで命名された。動的計画方程式 とも呼ばれる。 ベルマン方程式は、決定問題において、ある時刻の初期選択と、それ以降の決定問題の価値との関係を記述する。
https://scrapbox.io/files/64c65832d7fd03001c21e8e7.png
Source updated 2023-07-30 · Snapshot 2026-10-08
Source links and calculated neighbors
Cosine values measure shared lexical features, not truth, agreement or identical meaning. Original reference links are labeled separately.
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