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The dot product imprinted burliness, overprinter quasi-three, restore, see double streak-free.

这些产物弱、网点原好、套轻影。

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moppet, moppie, moppy, Mops, mopstick, MOPTAR, MOPTARS, Mopti, mop-up, mopus,

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3G, 401(K), a,

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玩转物理学

However, let's use E dA cosine theta instead of the dot product.

,让我们使用 E dA 余弦西塔来代替

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玩转物理学

Electric flux equals the integral of the dot product of electric field and dA.

通量等于dA的分。

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高等数学之美

In the example we were looking at, dot products certainly aren't preserved.

在我们看到的示例中,当然不会被保留。

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玩转物理学

Rather than using the dot product equation, let's use the electric flux equation  without the dot product.

我们不使用方程,使用不带点通量方程。

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玩转物理学

Electric flux equals the dot product of the electric field and the area, so let's  use that.

通量等于,所以我们就使用它。

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高等数学之美

But the operation as a whole is not just one dot product but many.

但整个操作不仅仅一个点个点

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高等数学之美

In fact, transformations which do preserve dot products are special enough to have their own name: Orthonormal transformations.

事实上,保留的变换非常特殊,有自己的名字:正交变换。

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高等数学之美

Some of you might like think of this as a kind of  dot product.

你们中的一些人可能喜欢将其视为一种

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Linear algebra

In fact, worthwhile side note here transformations which do preserve dot products are special enough to have their own name.

事实上 值得注意的保留的变换很特别 有自己的名字。

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Linear algebra

So that performing the linear transformation is the same as taking a dot product with that vector the cross product.

所以进行线性变换就等于对这个向量做点也就叉乘。

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Linear algebra

Learn what you have learned, and imagine that you don't already know that the dot product relates to projection.

学习你学过的知识 想象一下你还不知道和投影的关系。

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Linear algebra

So when two vectors are generally pointing in the same direction, their dot product is positive.

所以当两个向量通常指向同一个方向时 它们的正的。

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高等数学之美

Notice, this looks like a dot product between two column vectors, [m1, m2], and [v1, v2].

请注意,这看起来像两个列向量 [m1, m2] 和 [v1, v2] 之间的

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Linear algebra

And if they point in generally the opposite direction, their dot product is negative.

如果它们通常指向相反的方向 它们的负的。

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Linear algebra

Solving a linear system with an orthonormal matrix is actually super easy, because dot products are preserved.

用标准正交矩阵求解线性方程组其实非常简单 因为被保留了。

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Linear algebra

The dot product before and after the transformation will look very different.

变换前后的看起来很不一样。

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Linear algebra

When their perpendicular meaning, the projection of one onto the other, is the zero vector, their dot product is zero.

当它们垂直的意思 一个向量在另一个向量上的投影 零向量时 它们的零。

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Linear algebra

Luckily, this computation has a really nice geometric interpretation to think about the dot product between two vectors V and W.

幸运的 这个计算有一个很好的几何解释来考虑两个向量V和W之间的

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高等数学之美

For most linear transformations, the dot product before and after the transformation will be very different.

对于大数线性变换,变换前后的有很大不同。

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Linear algebra

That is, they don't preserve that zero dot product.

也就说 它们不保留0

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3G, 401(K), a,
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