1) ε weak subdifferental
ε-弱次微分
2) ε-Subdifferential
ε-次微分
1.
The concepts of ε-subdifferential and ε-conjugate mapping in linear topological spaces are in- troduced.
在线性拓扑空间中引入ε-次微分和ε-共轭映射的概念,系统地讨论了它们的若干性质,建立了一般向量极值问题的ε-共轭对偶定理。
2.
We first study the subdifferential of the dually marginal functions and then present their solutions by using the ε-subdifferential.
借助ε-次微分讨论一类对偶边际函数的次微分,并得到此类函数解集的特征。
3) weak subdifferential
弱次微分
1.
We gave the relation of weak subdifferential and weak contingent generalized gradient of set-valued mappings,and with the weak contingent generalized gradient.
给出了集值映射的弱次微分与弱余切广义梯度的关系,并且借助弱余切广义梯度得到了集值优化问题的一个最优性条件。
5) ε-subdifferential bundle
ε-次微分向量丛方法
6) Weakly graded radical
弱分次根
补充资料:次微分
次微分
subdifferential
次微分阵由山场,图血l;cy6及一帅epe。”“幼] 定义在与空间Y对偶的空间X上的凸函数f:X卜R在点x。的次微分是Y中由下式定义的点集: 刁f(x‘、)={夕EY二f(x)一f(x。)) )
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