An enhanced target function is built up via Lagrange multiplier and the principle of equal mini rate of consumption increasement and the method of static boiler model analysis are put forward.
借助拉格朗日乘数法建立增广的目标函数，提出等耗量微增率准则及静态锅炉模型辨识方法，对耗量函数的性质给出了凸性要求。
We establish a Lagrange multiplier theorem for strict efficiency in convex settings and express strict points as saddle points of an appropriate Lagrangian function.
讨论凸多目标最优化问题的严有效解，建立了拉格朗日乘子定理，并把严有效解表示为一个适当的拉格朗日函数的鞍。
The paper employs alternative Lagrange multiplier method to enforce the essential boundary condition, and the penalty function is employed again in order to improve the accuracy.
本文采用替换式拉格朗日乘子法施加本质边界条件，为提高精度，对修正泛函使用罚函数法再次施加本质边界条件。
I particularly points out that this descending dimension Lagrange multiplier algorithm improves penalty function algorithm and advance accuracy to a certain degree.
特别要指出的是，该算法改进了罚函数法，并在一定程度上比罚函数法更精确。
I particularly points out that this descending dimension Lagrange multiplier algorithm improves penalty function algorithm and advance accuracy to a certain degree.
特别要指出的是，该算法改进了罚函数法，并在一定程度上比罚函数法更精确。
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