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在一定条件下，论证了集函数多目标分式规划问题与其相应的标量化问题以及鞍点问题之间的密切关系。
Under suitable conditions, we give some theorems connecting multiobjective fractional programming with set functions and its scalarization problems as well as the corresponding saddle point problems.
主要研究含矩阵函数半定约束和向量函数等式约束以及多个目标函数的多目标半定规划的对偶和鞍点问题。
The paper studied the multiobjective semidefinite programming with a semidefinite constraint of a matrix function and a multiobjective function.
考虑了广义二次规划问题，基于其鞍点的充要条件，提出了求解它的一个神经网络。
This paper considers the extended quadratic programming problem. Based on the necessary and sufficient conditions for a saddle point, a neural network for solving it is proposed.
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