在转换文档时,XSLT是一种极其高效的语言,但对于更为传统的任务,比如说在求微分方程的积分或与数据库通信时。
XSLT is a wonderfully efficient language for transforming documents, but it's not always the best language for more traditional tasks like integrating differential equations or talking to databases.
有其它的方式来得到的,从这里开始求微分。
But we have another way to find it, which is starting from this and differentiating.
由于坐标参数模型的高阶特性,使得在通过对坐标数据微分求速度参数时,产生较大的微分截断误差。
Because of the high step of coordinate model, it will be bring a biggish truncation errors when differential the coordinate data to obtain the velocity parameters.
Mathematically, it's done by taking the expression for R and differentiating everything in sight that can be differentiated as vector t.
从数学上看是这样的,写出 R 的表达式,并对所有可以进行矢量微分的部分,对时间 t 求微商
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