To gain sevrial decision method of convex (concave) function by the definition of convex(concave) function and Taylor formula.
利用凸（凹）函数的定义和泰勒公式给出了凸（凹）函数的几个判别法。
A branch and bound methods is proposed for minimizing concave function over a convex.
本文介绍了求解凸集上凹函数最优解的一种分支定界方法。
This paper discusses the relationship between quasi-concave and pseudo-convex in the generalized convex function in the Linear topological space and offers some conditions of equivalence.
讨论了线性拓扑空间上广义凸函数中的拟凸与伪凸之间的关系，并给出它们之间的一些等价条件。
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