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1)  dependency number
相依数
2)  contingent derivative
相依导数
1.
The optimization problem of the set valued map with the contingent derivative and the tangent derivative of the set valued map is discussed, and the Kuhn Tucker necessary optimality condition and sufficient optimality conditions under the assumption of the cone convexity are give
研究了赋范空间中具有相依导数和切导数的集值映射的最优化问题建立了集值映射的约束资格,给出了问题(VP)具Kuhn-Tucker的充分条件和必要条件
2.
In this paper,we obtain the necessary conditions,the sufficient conditions,the necessary and sufficient conditions at the Lagrange multipliers status for weak minimizer solution to the set-valued optimization problems by using the contingent derivative,the adjacent derivative and the circatangent derivative.
论文借助于集值映射的相依导数,相邻导数,约切导数等几种导数,以Lagrange乘子的形式给出集值优化问题有弱最小解的必要条件、充分条件以及充分必要条件。
3.
In terms of the contingent derivative,some equivalent conditions on the existence of an error bound for pseudoconvex multifunctions are established.
通过相依导数,给出了伪凸集值映射存在误差界的一些等价叙述。
3)  Dependence parameter
相依参数
4)  dependence coefficients
相依系数
5)  contingent epiderivative
相依上导数
6)  contigent Liapunov function
相依Liapunov函数
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