Under suitable conditions, we give some theorems connecting multiobjective fractional programming with set functions and its scalarization problems as well as the corresponding saddle point problems.
在一定条件下,论证了集函数多目标分式规划问题与其相应的标量化问题以及鞍点问题之间的密切关系。
Systematically discusses the fundamental theorems of weak efficient solution, efficient solution and properly efficient solution for multiobjective fractional programming problems with set functions.
系统地讨论了集函数多目标分式规划的弱有效解、有效解和真有效解的基本定理。
Unlike the Automated Mathematician and its heirs, their program is primed only with a set of simple, basic mathematical functions and the data it's asked to analyze.
与“自动数学家”及其后继者不同的是,他们的程序事先只加载了一组简单的基础数学功能和要求其分析的数据。
And if you think about it, associated with each - one of those data types is a set of functions it's intended to apply to.
你会发现每个类型都有,与之对应的一个集合的操作,有的时候这些操作,有的时候某个操作可以,应用于多种数据类型。
Sometimes the functions -- sometimes a function can be used on multiple data types, plus, for example, we saw could add strings, or could add ints, but each one of those data types has associated with it a set of functions that are geared to handling them.
比如说,我们可以对string类型,进行add操作,也可以对int类型进行这个操作,但是这些数据类型中的每一种,都与适合于操作它们的,方法集相关联,我们想对我们创建的数据,类型做同样的事情。
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