摘要
本文在[1]、[2]的基础上进一步讨论了广义梯度与广义次梯度的关系，揭示了广义次梯度的线性性质，推广了它们在最优化中的应用。
Based on and[1] and [2],in this paper we further discuss the relation hetween generalized gradient and generalized subgradient. We reval the linear properties of generalized subgradient and generalized their applications in optimization.
关键词
广义梯度
广义次梯度
弱李普希兹函数
最佳化
Weak Lipschitz Function
Generalized gradient
generalized subgradient
