• Suppose you have two vectors.

    如果有两个矢量。

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  • And, we don't really need vectors.

    当然我们可以不用向量。

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  • I don't write them down as vectors.

    我没写成矢量。

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  • Dot Product of two vectors.

    两个向量的点乘积。

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  • We use boldface type for vectors.

    我们用黑体形式表示矢量。

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  • Returns true if vectors different.

    如果向量不同将返回真。

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  • Returns true if the vectors are equal.

    如果两个向量相等,返回真。

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  • Then you have two vectors given on the plane.

    然后得到平面上的两个给定向量。

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  • How do we decide if two vectors are parallel?

    我们平时怎么验证两个向量平行呢?

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  • To see a simple example, let us create two vectors.

    为了查看一个小例子,让我们来创建两个向量。

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  • Retrovirus is one of the vectors in common use.

    逆转录病毒是最为常用的载体之一。

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  • The two vectors are proportional by a factor of two.

    这两个向量也是相差1倍。

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  • Any plane actually has infinitely many normal vectors.

    每一个平面都有无数条法向量。

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  • Now we have to find three vectors which we don't know.

    现在我们找到了三个不知道向量。

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  • There are also vectors, but I won't discuss them here.

    也有向量,不过在这里不作讨论。

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  • If the two vectors are the same length, it is easy.

    如果两个向量的长度是相同的,它很容易。

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  • So these six are numbers and these are the unit vectors.

    这就得到6个数字,和3个单位矢量。

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  • OK, more questions? So, what else can we do with vectors?

    还有问题么?,好,那么我们还能对向量干什么呢?

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  • Will we have to know how to rotate vectors and so on?

    我们需不需要掌握如何旋转向量这些知识点?

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  • This is a property of orthogonal vectors of length 1.

    这是长度为1的正交向量的性质。

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  • Now suppose, you would like to add two vectors together.

    现在假设,你想补充两个向量在一起。

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  • The second number is the number of constant vectors to load.

    第二个参数指的是加载的常量向量的数量。

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  • Time Gate Vectors are not the only means to access other realities.

    时间门之多向矢量并不只是唯一通往其他实相的方式。

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  • Nanoparticle has been the focus in recent research of vectors.

    纳米粒是近年来载体研究中的热点。

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  • And Y are vectors of the same size or matrices of the same size.

    和Y是向量的大小相同或矩阵的大小相同。

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  • we want to know what combination of those 3 vectors produce that one.

    我们想要知道那三个向量的什么组合会产生那个。

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  • Yet since then, more potential attack vectors have been revealed.

    然而,也就是从那时起更多的潜在的攻击媒介显露出来了。

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  • It has great advantage in measurement and application of vectors.

    该模块在矢量的测量和应用中有突出的优越性。

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  • Every basis of a linear space contains the same number of vectors.

    一线性空间的每一基底包含同样数目的向量。

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  • Every basis of a linear space contains the same number of vectors.

    一线性空间的每一基底包含同样数目的向量。

    youdao

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