摘要
讨论两种广义次梯度的关系,在广义(F,ρ)凸性条件下,推广了广义Kuhn-Tucker充分性条件.
The relation between generalized gradient and generalized subgradient are discussed. Under the generlized ( F ,ρ) convexity assumptions, the optimality conditions of the Kuhm-Tucker are generalized.
关键词
LIPSCHITZ函数
局部
广义次梯度
凸性
Weak Lipschitz function Local Lipschitz function Generalized subgradient Generalized ( F ,ρ)convexity Generalized K-T optimality conditions
