• It is found that the canonical momentum is directly proportional to the gradient of space phase.

    发现正则动量与空间相的梯度成正比。

    youdao

  • Now, what's the gradient vector?

    现在,梯度向量是什么呢?

    youdao

  • It points opposite to the gradient.

    指向和梯度向量相反。

    youdao

  • Adding one doesn't change the gradient.

    加1并不改变梯度。

    youdao

  • Set the gradient style to Radial Gradient .

    设置渐变模式为径向(圆形)渐变 。

    youdao

  • Notice the gradient backing of the button components in Figure 2.

    请注意图2中按钮组件的渐变背景。

    youdao

  • If I fix a point, then the gradient vector at that point is given to me.

    确定一点,那么对我来说,这点的梯度向量就是确定的。

    youdao

  • You use this downward pointing triangle as the notation for the gradient.

    用▽表示,这就是梯度的符号。

    youdao

  • That means that the gradient of f is perpendicular to the level set of g.

    也就是说f的梯度向量,应该与g的水平集垂直。

    youdao

  • But they won't be the level curves of a function for which this is the gradient.

    但它们不一定是,某个以该向量场为梯度的函数的等值线。

    youdao

  • 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。

    youdao

  • So now, let's go back to the gradient and see what this tells us about the gradient.

    所以现在我们再回头看看梯度,看看它告诉了我们什么。

    youdao

  • If you take the gradient of this, you should get again this vector field over there.

    对这个函数取梯度,你应该又得到这个向量场。

    youdao

  • 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。

    youdao

  • 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。

    youdao

  • The directional derivative in a direction that's perpendicular to the gradient is basically zero.

    垂直于梯度的方向上,方向导数为零。

    youdao

  • And, maybe I should also say in words, this is the component of the gradient in the direction of u.

    再强调一下,这是梯度函数在u方向上的分量。

    youdao

  • But we know another vector that is also perpendicular to the level set of g. That is the gradient of g.

    但我们知道有另外一个向量也是和g的等值面垂直的,这个向量就是g的梯度。

    youdao

  • Well, that means the gradient is actually perpendicular to the tangent plane or to the surface at this point.

    那意味着,梯度向量在这点上,垂直于切平面或者是等值面。

    youdao

  • It tells you, if you take the line integral of the gradient of a function, what you get back is the function.

    它说,如果你对一个函数的梯度做线积分,就能得到原函数。

    youdao

  • And I can rewrite this in vector form as the gradient dot product the amount by which the position vector has changed.

    可以把这些用向量形式重新写下来,就是梯度向量和位置改变量的点积。

    youdao

  • The Fraunhofer device depends on a temperature gradient: the greater the gradient, the more electricity generated.

    该装置根据温度变化率工作:温度变化率越大,产生的电能就越多。

    youdao

  • So, I claim, in fact, we could have done this without the gradient, or using the gradient in a somehow disguised way.

    事实上,我们可以不用梯度来求这个,或者说变相的利用梯度。

    youdao

  • For example, the electric field or gravitational field is given by the gradient of the gravitational or electric potential.

    例如由重力势梯度给出的重力场,或由电势梯度给出的电场。

    youdao

  • Make sure that the gradient matches the one in the image below, you will have to adjust the colour location accordingly.

    确保渐变条设置得与下图吻合,为此你要相应地去调整每个颜色的位置。

    youdao

  • The final piece to defining the example login screen in Figure 2 is to draw the gradient background with the curved line.

    定义图2中登录屏幕例子的最后工作是用曲线绘制渐变背景。

    youdao

  • Then grab the gradient tool (shorcut ‘G’ on the keyboard) and setup a white to gray to white gradient like the one referenced below.

    选择渐变工具(快捷键“G”),设置一个白-灰-白的渐变,如下图。

    youdao

  • OK, so if I go in that direction, which gives me the fastest increase, then the corresponding slope will be the length of the gradient.

    也就是说,如果朝该方向运动,函数值变动得最剧烈,那么相应的斜率就是梯度向量的模长。

    youdao

  • OK, so that's the general method of calculation, but we've seen a shortcut for work when we can show that the field is the gradient of potential.

    这就是计算的一般方法,但求功的时候,如果向量场是某个势的梯度,是有捷径可走的。

    youdao

  • OK, so the new definition for today is the definition of the gradient vector. And, our goal will be to understand a bit better what does this vector mean?

    所以今天我们的新定义,就是梯度向量,目的就是更好的理解这一定义,这个向量的含义是什么?

    youdao

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