将负梯度法推广到微分方程和有限方程联立系统的计算机程序设计中

A. Talkin
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引用次数: 1

摘要

在模拟计算机上编写联立非线性方程组的程序时,使用隐式形式的方程组是最方便的。此外,由于方程是非线性的,除非采用负梯度法编程,否则某些偏导数可能会改变符号,从而导致计算机不稳定。本文通过耦合一组非线性位置方程和一阶非线性微分方程,分别用负梯度法编程,研究了非线性显时变轨迹问题的规划问题。用摄动运动的第一近似方程来检验计算机程序对给定数学系统解的收敛性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The negative gradient method extended to the computer programming of simultaneous systems of differential and finite equations
In programming a system of simultaneous nonlinear equations on an analog computer it is most convenient to use the equations in their implicit form. In addition since the equations are nonlinear certain partial derivatives may change sign resulting in computer instability unless the equations are programmed by the negative gradient method. This paper considers programming nonlinear, explicitly time varying trajectory problems by coupling together a set of nonlinear positional equations and a set of nonlinear first order differential equations, each set being separately programmed by the negative gradient method. The equation of the first approximation to the perturbed motion is used to examine the convergence of the computer program to the solution of the given mathematical system.
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