When working with XML data, you need to parse the data to get to the least common denominator—the desired data (or atomic node value, as it is often called).

在处理 XML 数据时，需要对这些数据进行分析以获得最小公分母，即您想要的数据（经常被称之为原子节点值）。

CLS compliance is a new twist on that least common denominator approach to interoperability. The CLS specification is a subset of operations that every language must support.

CLS兼容性与互操作性之间至少要有共同特性，CLS规范是一个每个语言都必须支持的操作的集合。

How, then, do you provide a view that is intelligent enough to take into account all these device variations without resorting to one that supports only the least common denominator of capabilities?

那么，您如何提供一个视图，使它的智能程度足够高，能够考虑进所有这些设备的多样性，而不必求助于那些只支持所有设备都有的功能的设备？

This is a least-common denominator approach, which is at best slightly less than optimal, but more often, it is far from optimal.

这是一种最小公分母方法（least-common denominator），因为它在最好的情况下也不够理想，通常情况下，它远远不能达到最佳效果。

This gives applications that want wide portability a guaranteed least common denominator.

这使得那些需要广泛移植性的程序获得一个最小的分母。

This standard, but arguably least-common-denominator approach, allows you to embed a Groovy script effortlessly.

这个标准的、但是有争议的最小公因子方法，可以让您毫不费力地将Java 应用程序嵌入Groovy脚本。

Either they make their applications accessible and simple enough for least common denominator - or risk losing out to competitors who do.

他们应当让程序应用更为易于访问，应用难度达到最低的平均水平，如果不，但是他们的竞争对手如此做的话，他们就冒着失去用户的风险。