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Parametric Estimating: basically this is scaling an estimate.(参数估计:基本上,这是按比例扩缩的估计方法。)
Let us take a look at our simple doIt example with a bit of parametric typing thrown in (in Listing 3).(下面我们来看一个简单的doIt例子,它使用了一些参数类型化(见清单3)。)
During a typical year the 90 or 100 most critical SSA projects are estimated using SEER parametric modeling solutions.(在一个典型的年份期间,90或者100个最关键的SSA项目是使用SEER参数建模解决方案被评估的。)
OK, so if not, let's move on to linear parametric equations.(如果没有的话,我们继续往下,线性参数方程组。)
Parametric methods are very useful for subjecting uncertain situations to the rigors of a pre-defined and proven mathematical model.(参数化的方法对于将不确定的情况置于一个预定义的和被证明是精确的模型之下十分有用。)
So, now, just to show you that we can do a lot of things when we have a parametric equation, here is a small mystery.(现在我们可以做很多事情了,因为我们有了参数方程,现在有一件神秘的事。)
Parametric/predictive software modeling(参数的/预言性的软件建模)
Based on the "XMLAttributeDefinition" in the model file in Figure 5, parametric search on the values of element "price" is possible.(根据图5的模型文件中的“XMLAttributeDefinition”,可以对“price”元素的值进行参数化搜索。)
OK, so we are going to learn about parametric equations of lines.(我们马上就要学习直线的参数方程。)
In fact, parametric equations of lines always look like that.(实际上,直线的参数方程总是这个样子的。)
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