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Efficient Numerical Methods for Solving Differential Algebraic Equations

机译:解微分代数方程的有效数值方法

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This research aims to solve Differential Algebraic Equation (DAE) problems in their original form, wherein both the differential and algebraic equations remain. The Newton or Newton-Broyden technique along with some integrators such as the Runge-Kutta method is coupled together to solve the problems. Experiments show that the method developed in this paper is efficient, as it demonstrates that implementation of the method is not difficult, and such method is able to provide approximate solutions with ease within some desired accuracy standards.
机译:本研究旨在解决原始形式的微分代数方程(DAE)问题,其中微分方程和代数方程都保留。牛顿或牛顿-布罗登技术与一些积分器(例如Runge-Kutta方法)结合在一起解决了这些问题。实验表明,本文开发的方法是有效的,因为它表明该方法的实现并不困难,并且该方法能够在某些所需的精度标准内轻松提供近似解决方案。

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