Most procedural programming languages have some kind of control statements, and there is often overlap among languages. 大多數程序化的編程語言都提供了某種形式的控制語句，這在語言間通常是共通的。
The proposed approach is robust to local minima of the energy functional because it is minimized by dynamic programming method in the whole energy space. 由於採用了動態規劃法並在整個能量空間中搜索能量泛函的極值，演算法對能量泛函的局部極值有較強的魯棒性。
With the restriction of water demand and supply, the objective function optimal value was calculated by sequential quadratic programming. 以需水量和可供水量為約束條件，採用序列二次規劃法求解函數最優值。
We start by covering deterministic and stochastic dynamic optimization using dynamic programming analysis. 我們會以使用動態規劃分析來處理確定及隨機的動態最適化作為開始。
Then, the suboptimal control law is achieved using the dynamic programming principle. 然後，使用動態規劃得到增廣系統的次優控制律。
