Its partial derivative equation is solved by alternating direction implicit algorithm.

采用交替方向隐式算法求解偏微分方程。

youdao

For example, if it's the first week of calculus, you might record the standard derivative equation I reproduced above.

举例来说，如果现在是教授微积分的第一个星期，你可能会记录我上面提到过的导数方程。

youdao

And so we're going to take the derivative versus time of this equation.

我们要求这个，方程的时间导数。

youdao

This is going to be probably a homework at some point to do this. For now, let's take it for granted. Let's take it for granted that we know how to calculate this derivative from an equation of state like this.

这可能是将来的一个课后作业,现在，请把这当成理所当然的，理所当然地认为我们,知道怎样从一个状态,方程计算这样的微分式。

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But, of course, we want to go all the way to distance, so we take the second derivative and we have this equation for force here.

当然我们最后想要的是距离,所以我们取二阶微,分就有这个式子。

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And the mathematics of that equation involved a double derivative in time of x 0 plus some constant times x equals zero with some constraints on it.

那个数学方程式,包括了x对时间的二阶导数,加上常数乘以x等于,还有一些限制条件。

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However, investments in these types of derivative instruments bring terms such as contango and backwardation into the equation.

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