Statistics, Department of
The R Journal
Date of this Version
6-2020
Document Type
Article
Citation
The R Journal (June 2020) 12(1); Editor: Michael J. Kane
Abstract
Gradient optimization methods (function minimizers) are well-represented in both the base and package universe of R (R Core Team, 2019). However, some of the methods and the codes developed from them were published before standards for hardware and software were established, in particular the IEEE arithmetic (IEEE, 1985). There have been cases of unexpected behaviour or outright errors, and these are the focus of the histoRicalg project. A summary history of some of the tools in R for gradient optimization methods is presented to give perspective on such methods and the occasions where they could be used effectively.
Included in
Numerical Analysis and Scientific Computing Commons, Programming Languages and Compilers Commons
Comments
Copyright 2020, The R Foundation. Open access material. License: CC BY 4.0 International