最后研究了广义集值变分包含问题与非凸规划之间的关系。
Finally, the relationships between generalized set-valued variational inclusion problems and non-convex programming are studied.
第五章，给出了解凸非线性半定规划的一种广义拉格朗日算法。
In the fifth chapter, we introduce an Augmented Lagrangian method for solving convex Nonlinear Semidefinite Programming (NLSDP) problems.
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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