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。
To calculate the weight coefficients of the combination model firstly the Lagrangian multiplier method is applied to object function and equality constrains.
在组合模型的权重系数求解中，首先对目标函数和等式约束使用拉格朗日乘子法来求解权重系数。
To calculate the weight coefficients of the combination model firstly the Lagrangian multiplier method is applied to object function and equality constrains.
在组合模型的权重系数求解中，首先对目标函数和等式约束使用拉格朗日乘子法来求解权重系数。
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