Usually, we have two variables.
通常我们有两个变量。
Oh, a function of two variables.
这的确是一个二元函数。
Here, you have two variables of integration.
这边需要对两个变量做积分。
Both methods work with more than two variables.
超过两个变量，这两个方法都能用。
The next two variables are the replacement for it.
接下来的两个变量就是用来替代它的。
The last two variables are bound to the edit boxes.
最后两个变量绑定到编辑框。
Listing 11 defines two variables: var and var + "Type".
清单11定义了两个变量：var和var + “Type ”。
In step B2, there are two variables: E-mail and password.
在步骤B2中，这里有两个变量：电子邮件地址和密码。
Most of them were pre-loaded. You have to add two variables.
这些变量大多数是预先装载的。
Well, let's say how to visualize a function of two variables.
如何想象一个有两个变量的函数。
Covariance is a measure of how much two variables move together.
协方差衡量的是两个变量一起变动的情况。
Of course, these two variables are typically related in practice.
当然，这两个变量在实际情况下通常是相关的。
That method works exactly the same way as it did in two variables.
在两个变量的情形中，这种方法同样奏效。
It is a surface integral, so we need to have two variables in there.
它是一个面积分，所以这里需要两个变量。
So, there is another way to plot the functions of two variables.
还有另外的一种方法画出二元函数的图像。
The PHP code starts by defining two variables: tabs and current_tab.
PHP代码首先定义了两个变量：tabs和current _ tab。
y OK, so let's say that we have a function of two variables, x and y.
假设有一个函数含有2个变量x和。
That was our first example of a function of two variables possibly.
这是二元函数中的第一个例子。
So, we are going to focus on the case of functions of two variables.
我们将把注意力集中在二元函数上。
OK, so now, let's say that we had, actually, a function of two variables.
可能是这样的，现在我们可以说，有一个含有两个变量的函数。
So, when we think of a graph, really, it is a function of two variables.
因此当我们在想像一个图像时，其实那只是一个二元函数的图像。
Roger evaluated the ROI on the basis of two variables namely Cost and Return.
Roger依据成本和收益这两个变量来评估roi。
This ensures a consistent view of the two variables (see Resources for a citation).
这可以确保能够得到这两个变量的一个一致视图(请参阅参考资料中的引用)。
As we walk through these examples, notice that ROI is an equation with two variables.
当我们讨论这三个例子的时候，请注意roi是一个拥有两个可变因素的等式。
So, we said when we have a function of two variables, we have the gradient vector.
我们说，当一个二元函数存在时，就有梯度向量。
After the trap has been set, define two variables to ease the typing later in the script.
在设置了陷阱之后，定义两个变量以便稍后在脚本中键入时使用。
For example, if in some step the user enters a user ID and password, there are two variables.
例如，在某些步骤中，如果用户输入了用户ID和密码，这就产生了两个变量。
And it turned out that for this mixture, we only needed two variables. Two degrees of freedom.
最终对于这种混合，我们只需要两个变量，两个自由度。
And it turned out that for this mixture, we only needed two variables. Two degrees of freedom.
最终对于这种混合，我们只需要两个变量，两个自由度。
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