n.贝尔曼

原形：bellman复数：bellmen

The Bellman's equation is a fundamental concept in dynamic programming.
贝尔曼方程是动态规划中的基本概念。
The Bellman-Ford algorithm is used to find the shortest path in a weighted graph.
贝尔曼-福特算法用于在加权图中找到最短路径。
Richard Bellman was an American applied mathematician and a pioneer in the field of optimization theory.
理查德·贝尔曼是一位美国应用数学家，也是优化理论领域的先驱。
Bellman's principle of optimality states that an optimal policy has the property that whatever the initial state and initial decision are, the remaining decisions must constitute an optimal policy with regard to the state resulting from the first decision.
贝尔曼的最优性原理指出，最优策略具有这样的性质：无论初始状态和初始决策是什么，其余决策必须构成针对由第一个决策导致的状态的最优策略。
In his famous 'Principle of Optimality,' Richard Bellman laid the foundation for modern-day optimization techniques.
在著名的“最优性原理”中，理查德·贝尔曼为现代优化技术奠定了基础。
Bellman's contributions to mathematics and computer science have had a lasting impact on numerous fields.
贝尔曼对数学和计算机科学的贡献对许多领域产生了持久的影响。
The dynamic programming approach developed by Bellman allows us to break down complex problems into simpler subproblems.
贝尔曼开发的动态规划方法使我们能够将复杂问题分解为更简单的子问题。
Bellman's work on Markov decision processes has been instrumental in the development of reinforcement learning algorithms.
贝尔曼关于马尔可夫决策过程的工作对于强化学习算法的发展起到了重要作用。
Richard Bellman's research on stochastic control theory continues to inspire new developments in control systems engineering.
理查德·贝尔曼在随机控制理论方面的研究继续激发着控制系统工程的新发展。
The mathematical framework known as the Bellman equation plays a crucial role in solving problems involving sequential decision making.
被称为贝尔曼方程的数学框架在解决涉及顺序决策的问题中起着关键作用。