Linear Programming optimization model is setup, and a heuristic algorithm is given.

建立了线性规划优化模型，提出了一种启发式算法。

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The corrective control problem was decomposed into a nonlinear power flow and linear sensitivity computation sub-problem and a sensitivity-based linear programming optimization control sub-problem.

该算法基于连续线性规划技术，将安全校正问题分解为非线性潮流和线性控制灵敏度计算子问题以及基于灵敏度的线性规划控制子问题。

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But dynamic programming is usually applied to optimization problems like the rest of this article's examples, rather than to problems like the Fibonacci problem.

但是动态编程通常被用于最优化问题(比如本文后面的示例)，而不是像斐波纳契数这样的问题。

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Now, when we talked about optimization problems in dynamic programming, I said there were two things to look for.

现在，当我们讨论,动态编程中的最优化问题时，我想说有两件事需要注意。

麻省理工公开课 - 计算机科学及编程导论课程节选