要不是那些完全垂直或水平的线性需求曲线对点他们该范围从无弹性,弹性和是弹性的单位的一个点。
Linear demand curves, except for those that are perfectly vertical or horizontal, have points on them that range from elastic to inelastic and one piont that is unit elastic.
这样做是一种合理的折衷方法,因为对定义曲线的每个点或句柄都使用子元素将会使SVG更加繁琐。
Doing it this way is a reasonable compromise, since using child elements for every point or handle that defines a curve would make SVG even more verbose.
双曲三角函数就是对曲线应用三角函数,也就是说,想象将这些点放在笛卡尔平面上来得到t的所有可能值。
The hyperbolic trigonometric functions are to hyperbolae as the trigonometric functions are to circles. That is, imagine you plot these points on a Cartesian plane for all possible values of t.
And we can just extrapolate in a straight line We before saw some examples where I had an algorithm to generate points, and we fit a curve to it, used the curve to predict future points and discovered it was nowhere close.
我们可以干脆用一条直线来描述它,我们之前看到在一些例子中,我用一个算法去生成一些点,然后用一条曲线对它进行拟合,然后用这条曲线来预测未来的点,最后却发现结果完全不对。
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