并给出集值优化问题的超有效解在广义梯度下的最优条件。

The optimality conditions of (super)-efficient solution of set-valued optimization problems are presented in the sense of generalized gradient.

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对非线性不等式约束最优化问题进行了讨论，借助广义投影建立求解问题的一个含系列自由参数的统一算法模型。

Optimization problem with nonlinear inequality constraints is discussed. With the help of the generalized projection, a unified algorithm model with a series of free parameters is presented.

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函数的凸性与广义凸性在数学规划以及最优化理论中起着非常重要的作用。

Convexity and generalized convexity of functions play an important role in mathematical programming and optimal theory.

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