Ecosyste.ms: Awesome

An open API service indexing awesome lists of open source software.

Awesome Lists | Featured Topics | Projects

https://github.com/rmsrosa/rode_convergence_euler

Companion notes with the numerics for the article on "Improved error estimates for the order of convergence of the Euler method for random ordinary differential equations driven by semi-martingale noises" by Peter E. Kloeden and Ricardo M. S. Rosa
https://github.com/rmsrosa/rode_convergence_euler

euler-method fractional-brownian-motion ito-noise jump-discontinuous-noise random-ordinary-differential-equations semi-martingale strong-convergence-order

Last synced: about 1 month ago
JSON representation

Companion notes with the numerics for the article on "Improved error estimates for the order of convergence of the Euler method for random ordinary differential equations driven by semi-martingale noises" by Peter E. Kloeden and Ricardo M. S. Rosa

Awesome Lists containing this project

README

        

# Numerical examples of strong order of convergence of the Euler method for random ordinary differential equations

![Main Tests Workflow Status](https://github.com/rmsrosa/rode_convergence_euler/actions/workflows/ci.yml/badge.svg) ![Documentation Workflow Status](https://github.com/rmsrosa/rode_convergence_euler/workflows/Documentation/badge.svg) [![Docs](https://img.shields.io/badge/docs-main-orange.svg)](https://rmsrosa.github.io/rode_convergence_euler/) ![GitHub repo size](https://img.shields.io/github/repo-size/rmsrosa/rode_convergence_euler)

This is a companion repository, with all the code for the simulations presented in the article "Strong order-one convergence of the Euler method for random ordinary differential equations driven by semi-martingale noises", by Peter E. Kloeden and Ricardo M. S. Rosa.

Just check the [Documentation](https://rmsrosa.github.io/rode_convergence_euler/).

For reproducing the examples appearing in the paper, you can run the code locally by following the instructions in the [docs/README.md](docs/README.md) file.