English

Comments on the article "A Bayesian conjugate gradient method"

Numerical Analysis 2019-06-26 v1 Numerical Analysis Probability Statistics Theory Statistics Theory

Abstract

The recent article "A Bayesian conjugate gradient method" by Cockayne, Oates, Ipsen, and Girolami proposes an approximately Bayesian iterative procedure for the solution of a system of linear equations, based on the conjugate gradient method, that gives a sequence of Gaussian/normal estimates for the exact solution. The purpose of the probabilistic enrichment is that the covariance structure is intended to provide a posterior measure of uncertainty or confidence in the solution mean. This note gives some comments on the article, poses some questions, and suggests directions for further research.

Keywords

Cite

@article{arxiv.1906.10240,
  title  = {Comments on the article "A Bayesian conjugate gradient method"},
  author = {T. J. Sullivan},
  journal= {arXiv preprint arXiv:1906.10240},
  year   = {2019}
}

Comments

4 pages