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微分ecuations Runge-Kutta方法

于 2023-06-04 发布 文件大小:276.66 kB
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应用背景龙格库塔法得到一点利息差培养的结果,通常在项目集中在不同的科学的发展,物理和化学中的应用。在开发商的情况做一个代码项目中涉及到的必要性得到在一个单点的微分培养方案,这是很好的运用这种方法,因为任何程序与分析方法。关键技术代码包含:在得到答案的次数在DX /动态选择的函数的定义,并bucle方法的核心是存在的。有必要从MATLAB中的另一个脚本调用的函数,这样它会成功。除了这个代码,我增加了一些其他的方法,如欧拉和改进的欧拉,都适用于相同的问题,但龙格-格-格-格-格-格-格-格-格方法提出了最佳的性能。

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