2000 character limit reached
Modelling the discretization error of initial value problems using the Wishart distribution (2306.04084v2)
Published 7 Jun 2023 in stat.ME, cs.NA, math.NA, math.OC, math.ST, physics.data-an, and stat.TH
Abstract: This paper presents a new discretization error quantification method for the numerical integration of ordinary differential equations. The error is modelled by using the Wishart distribution, which enables us to capture the correlation between variables. Error quantification is achieved by solving an optimization problem under the order constraints for the covariance matrices. An algorithm for the optimization problem is also established in a slightly broader context.
Sponsor
Paper Prompts
Sign up for free to create and run prompts on this paper using GPT-5.
Top Community Prompts
Collections
Sign up for free to add this paper to one or more collections.