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Ordinary Differential Equations (ODE) using Euler's Technique and SCILAB Programming

机译:使用欧拉技术和SCILAB编程的常微分方程(ODE)

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Mathematics is very important for the engineering and scientist but to make understand the mathematics is very difficult if without proper tools and suitable measurement. A numerical method is one of the algorithms which involved with computer programming. In this paper, Scilab is used to carter the problems related the mathematical models such as Matrices, operation with ODE's and solving the Integration. It remains true that solutions of the vast majority of first order initial value problems cannot be found by analytical means. Therefore, it is important to be able to approach the problem in other ways. Today there are numerous methods that produce numerical approximations to solutions of differential equations. Here, we introduce the oldest and simplest such method, originated by Euler about 1768. It is called the tangent line method ox the Eider method. It uses a fixed step size h and generates the approximate solution. The purpose of this paper is to show the details of implementing of Euler's method and made comparison between modify Euler's and exact value by integration solution, as well as solve the ODE's use built-in functions available in Scilab programming.
机译:数学对工程和科学家而言非常重要,但是如果没有适当的工具和适当的度量,则很难理解数学。数值方法是与计算机编程有关的算法之一。在本文中,Scilab用于处理与数学模型有关的问题,例如矩阵,使用ODE进行运算以及求解积分。仍然无法通过分析手段找到绝大多数一阶初始值问题的解决方案。因此,重要的是能够以其他方式解决该问题。如今,有许多方法可以生成微分方程解的数值近似值。在这里,我们介绍最古老,最简单的这种方法,该方法由Euler于1768年提出。它被称为Eider方法的切线法。它使用固定的步长h并生成近似解。本文的目的是展示实现Euler方法的细节,并通过积分解决方案比较修改Euler和精确值之间的差异,以及解决ODE使用Scilab编程中可用的内置函数的问题。

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