【摘要】 本文对最优化问题分别就f是泛函、向量值函数时,在次似凸(subconvexlike)映射情况下得出了广义的鞍点定理和Kuhn-Tucker条件。更多还原

【Abstract】 In this paper,the general optmization problem to minimize f(x) such that—g(x)∈Y_+is discussed where f is a functional, vector-valued function respectively. In the case of subcon vexlike mapping,the generalized saddle-point theorem and Kuhn-Tucker condition are obtained.更多还原