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. 由于采用了动态规划法并在整个能量空间中搜索能量泛函的极值，算法对能量泛函的局部极值有较强的鲁棒性。
The loss-based marginal utility method and linear approximate programming approach are used to solve the loss constraint model. 损失约束模型应用基于损失边际效用排序的删除法与线性近似规划法求解。
