On the random generation of Butcher trees

Fuente: arXiv
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Autores principales: Huang, Qiao, Privault, Nicolas
Formato: Preprint
Publicado: 2024
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author Huang, Qiao
Privault, Nicolas
author_facet Huang, Qiao
Privault, Nicolas
contents The main goal of this paper is to provide an algorithm for the random sampling of Butcher trees and the probabilistic numerical solution of ordinary differential equations (ODEs). This approach complements and simplifies a recent approach to the probabilistic representation of ODE solutions, by removing the need to generate random branching times. The random sampling of trees is compared to the finite order truncation of Butcher series in numerical experiments.
format Preprint
id arxiv_https___arxiv_org_abs_2404_05969
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle On the random generation of Butcher trees
Huang, Qiao
Privault, Nicolas
Classical Analysis and ODEs
Probability
65L06, 34A25, 34-04, 05C05, 65C05
The main goal of this paper is to provide an algorithm for the random sampling of Butcher trees and the probabilistic numerical solution of ordinary differential equations (ODEs). This approach complements and simplifies a recent approach to the probabilistic representation of ODE solutions, by removing the need to generate random branching times. The random sampling of trees is compared to the finite order truncation of Butcher series in numerical experiments.
title On the random generation of Butcher trees
topic Classical Analysis and ODEs
Probability
65L06, 34A25, 34-04, 05C05, 65C05
url https://arxiv.org/abs/2404.05969