I experience a vector quantity.
我经历了一个矢量的量变。
一个与半径垂直的矢量。
它构成一个矢量。
That is called the curl of a vector field.
这个量叫向量场的旋度。
And we call that "decomposition" of a vector.
这就叫做矢量分解。
Such input can be viewed as a vector: <X1, X2, ...
这样的输入可以看成一个向量：<X 1,X 2, ...
I have a curve in the plane and I have a vector field.
这有一条平面曲线和一个向量场。
A set of server binding handles is called a vector.
一组服务器绑定句柄称为向量。
It measures how much a vector field goes across the curve.
它度量有多少向量场穿过了曲线。
It is a vector field in some of the flux things and so on.
也可以是一个向量场的通量，等等。
We have a vector field that gives us a vector at every point.
有一个向量场来描述每一个点上的向量。
This is a vector and that will be our representation of vectors.
这就是矢量，这就是矢量的，表示方法。
Add a line to the main method creating a Vector called names.
在main方法中加入一行代码，创建名为names的Vector。
Conversely, to double a vector image, you simply draw larger shapes.
反过来讲，要将矢量图像放大两倍，您只需要绘制更大的形状就可以了。
Let's say that I have a plane curve and a vector field in the plane.
有一条平面曲线和这个平面上的向量场。
Parallel programming using MPI to multiply a matrix by a vector.
使用MPI进行并行编程来实现矩阵与向量的乘法。
Spu_promote converts a value to a vector, but only defines one element.
spu_promote将一个值转换成向量，不过只定义了一个元素。
It's a vector field that just rotates around the origin counterclockwise.
这是一个绕原点逆时针旋转的向量场。
And, these coefficients here correspond to a vector parallel to the line.
这些系数构成的向量和直线平行。
Remember, the divergence of a vector field What do these two theorems say?
向量场，的散度，这两个定理说了什么呢？
The findAllOrder() method returns all order instances in a vector instance.
findAllOrder()方法在一个向量实例中返回所有订单实例。
You have seen that in the plane it is already pretty hard to draw a vector field.
正如大家所知，在平面中画出向量场已经很困难了。
This will fulfill our strategy for creating a vector on each letter in the data field.
这将实现在数据字段中创建每个字母向量的策略。
Let's say we have a 4x4 matrix that we want to multiply with a vector (a 4x1 matrix).
假设有一个4x4的矩阵，我们希望将其与另外一个4x1的向量进行乘法操作。
And we have learned how to package partial derivatives into a vector, the gradient vector.
我们也知道了，如何将各个偏导组合成一个梯度向量。
So, if the gradient of a function is a vector, the divergence of a vector field is a function.
如果说函数的梯度是向量，那么向量场的散度就是函数。
It is primarily a vector graphics language, though some raster graphics features are available.
它主要是一种矢量图形语言，但是可以使用某些光栅图形特性。
One place where it comes up is when we try to understand whether a vector field is conservative.
当需要判断一个向量场是否保守向量场时,旋度也会派上用场的。
Since it is converting as a vector, it doesn't cost anything to convert a few extra bytes of junk.
由于它是作为一个向量进行转换的，因此再多转换几个无关字节也不会有什么耗费。
Since it is converting as a vector, it doesn't cost anything to convert a few extra bytes of junk.
由于它是作为一个向量进行转换的，因此再多转换几个无关字节也不会有什么耗费。
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