ODE Solvers

Implementation of several popular solvers for solving ODEs in MATLAB
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Updated 20 Mar 2022

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ode-solvers

Implementation of several popular solvers for solving ODEs in MATLAB.

Collections of ODE solvers for an ODE in form of:

y_dot = f(t,y)

The solver then provides the solution of such an ODE in form of

y = f(t,y)

Implemented solvers so far:

  • Forward (Explicit) Euler
  • 4th order Runge-Kutta
  • Runge-Kutta 3/8
  • Dormand-Prince
  • Runge-Kutta-Fehlberg (RKF45)
  • Backward (Implicit) Euler

Check the the documentation in the /docs folder or here:

https://auralius.github.io/matlab-ode-solvers/

Contact:
manurunga@yandex.com

Cite As

Auralius Manurung (2024). ODE Solvers (https://github.com/auralius/matlab-ode-solvers/releases/tag/1.0.0.1), GitHub. Retrieved .

MATLAB Release Compatibility
Created with R2016a
Compatible with any release
Platform Compatibility
Windows macOS Linux

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Versions that use the GitHub default branch cannot be downloaded

Version Published Release Notes
1.0.0.1

See release notes for this release on GitHub: https://github.com/auralius/matlab-ode-solvers/releases/tag/1.0.0.1

1.0.0.0

Updated the title

Added Runge-Kutta-Fehlberg method (RKF45)
Updated the project image

To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.