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The Blasius equation is given by: f''' + 0.5 * f'' * f = 0, where f is a function of the similarity variable ⴄ (Dimensionless Coordinate). The goal is to solve this ODE subject to the following boundary conditions:
• f (ⴄ =0) = 0
• g (ⴄ =0) = 0
• g (ⴄ =∞) = 1 (here, we taken the ⴄ = 10 for coding purpose)
• h (ⴄ =∞) = 0
The primary task is to find the value of h (ⴄ =0) (guess value) such that g (∞) is close to 1. So, we have to solve above three- ODE’s using Euler and Modified Euler Method.
Using Newton-Raphson Method, we update the guess value for calculated Error being more than the specified permissible error.
Cite As
Brijeshkumar (2026). Blasius Equation using Euler & Modified Euler Method (https://se.mathworks.com/matlabcentral/fileexchange/154885-blasius-equation-using-euler-modified-euler-method), MATLAB Central File Exchange. Retrieved .
Solving Blasius Equation using Modified Euler Method or Second Order Runge-Kutta Method
General Information
- Version 1.0.0 (2.12 KB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.0.0 |
