利用泰勒展开的轨道生成

ACM-SE 18 Pub Date : 1980-03-24 DOI:10.1145/503838.503887
H. W. Jones
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引用次数: 0

摘要

费曼(I)提出了一种在力场中追踪粒子轨道的方法。他通过计算粒子在有限时间内的初始速度和加速度的平均速度来计算轨道的每一步,并计算粒子的新位置,假设它在直线上运动。由于粒子的加速度是已知的位置函数,因此可以使用泰勒展开来获得高阶近似值。问题是什么是最有效的方法来绘制一个周期的轨道:我们应该用几个步骤和一个高阶的近似,还是用很多步骤和一个最低阶的近似。必须认识到,逼近阶数越高,每步所需的CPU时间就越多,但为了在完整轨道上达到相同的精度,可能需要更大的步长;类似地,使用的步骤越多,需要的CPU就越多。费曼问题采用了几种近似的阶数来确定在确定轨道周期精度相等的情况下,哪种阶数导致CPU时间最少。我们发现,三阶近似的效率几乎是任意阶近似的两倍
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Orbit generation by use of Taylor's expansion
Feynman (I) presents a method of tracing the orbit of a particle in a field of force. He makes each step of the orbit by calculating an average velocity for the particle based on its initial velocity and the acceleration it is subjected to over a finite length of time, At, and calculating the new location of the particle, assuming it moves in a straight line. Since the acceleration of the particle is known as a function of position, it is possible to use Taylor's expansion to get a higher order approximation. The question arises as to what is the most efficient way to plot an orbit over a cycle: should we use a few steps and a higher order of approximation, or many steps with the lowest order of approximation. It must be realized that the higher the order of approximation the more CPU time is required per step, but the steps may be larger to achieve the same degree of accuracy in the complete orbit; similarly, the more steps used, the more CPU is required. Several orders of approximations were used on Feynman's problem to decide which order leads to the least CPU time for equal accuracy in the determination of the orbit's period. It was found that~the third order approximation had almost twice the efficiency of any order from
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