RTUComputer ScienceYr 2023 · Sem 32023

Q5Advanced Engineering Mathematics

Question

4 marks

Answer

A step-by-step execution of the Modified Euler numerical method to iteratively solve an ordinary differential equation with a small step size.

The task requires approximating the solution to the non-linear first-order Ordinary Differential Equation (ODE) , given the initial boundary condition , utilizing a precise step size of . The Modified Euler's Method (also known as Heun's Method or a 2nd-order Runge-Kutta method) is a predictor-corrector algorithm that provides significantly better accuracy than the standard Forward Euler method by averaging the slopes at the beginning and end of each interval.

1. Iteration Step 1: Approximating y at x = 0.02

We commence at . The function defines the slope: .

Predictor Phase: We use standard Euler to make an initial rough estimate () of the next point.

Corrector Phase (First Pass): We refine this estimate by averaging the slope at the initial point with the newly estimated slope at the predicted point .

Corrector Phase (Second Pass): To ensure maximum numerical stability, we iteratively apply the corrector formula until the digits converge.

The value has essentially converged. We establish at .

2. Iteration Step 2: Approximating y at x = 0.04

We now step forward to , utilizing our newly established values and .

Predictor Phase:

Corrector Phase:

A secondary corrector pass would confirm convergence. Thus, the rigorously calculated approximation for is approximately .

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