A nonmonotone line search algorithm for nonsmooth discrete minimax problem 关于一类非光滑极大极小问题的非单调线性搜索算法
On variational inequalities and minimax inequality in hyperconvex metric spaces 超凸度量空间中的变分不等式和极大极小不等式
Thereinto the concavity and convexity of functions is important condition in minimax theory 其中函数的凹凸性是极大极小定理的重要条件。
On minimax inequality and generalized quasi - variational inequality in hyperoconvex metric spaces 超凸度量空间中的极大极小不等式和拟变分不等式
Sometimes different combinations in the concavity and convexity of functions may construct a new theorem 函数凹凸性的不同组合往往可以构成一个新的极大极小定理。
Minimax principle deals with the relation between the minimax value and maximin value of a function 极小极大原理论述的是函数的极小极大值与极大极小值之间的关系。
In the problems of minimax tree search , what we are looking for is often the optimal branch at the root node 在极大极小树搜索时，我们经常寻找的是根节点的最优分支。
In the present paper , some theorems for variational inequalities and minimax inequality are obtained in hyperconvex metric spaces 文章给出了超凸度量空间中的一些变分不等式定理和极大极小不等式定理
In the present paper , some theorems for variational inequalities and minimax inequality are obtained in hyperconvex metric spaces 摘要文章给出了超凸度量空间中的一些变分不等式定理和极大极小不等式定理。
In this paper , we study minimax inequalities and generalized l - kkm type theorems in the spaces without linear structure 在此论文中，我们研究了没有线性结构空间中的极大极小不等式以及广义l ? kkm型定理
