Biography
John C. Nash spent his career translating robust, bounded-memory optimisation algorithms into teaching code. Compact Numerical Methods for Computers (Adam Hilger / Edward Arnold, 1990) distilled Newton, quasi-Newton, conjugate-gradient and singular-value techniques for the limited RAM of early PCs; the Arnold-hosted /support/nash/ pages distributed Pascal, Fortran and later R ports that fed directly into his CRAN packages. He maintains optimx, nlmrt and related optimisation packages on CRAN, authored Nonlinear Parameter Optimization Using R Tools (Wiley, 2014), and served as a long-standing book review editor for the R Journal—linking classical numerical analysis with reproducible statistical software.
Published writings & editorial work
Linked below are volumes and journals in this site's catalogue that carry this name on the imprint, title page, or editorial board. Open any title for the full synopsis, scope notes, and imprint history.
Authored / principal writer
- Compact Numerical Methods for Computers
Linear Algebra and Function Minimisation
First published 1979 · Adam Hilger / Edward Arnold
Author
John C. Nash's practical guide to small-memory algorithms for linear algebra, least squares, and function minimisation — the methods that made numerical computing feasible on small computers of the 1970s and 1980s and which continue to inform the R numerical libraries. Arnold …