About this book
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 maintained a support area with Fortran, Pascal, and later R implementations of the methods described.
Scope
- linear algebra
- least squares
- function minimisation
- eigenvalue problems
Edition history
- First published
- 1979
- Imprint
- Adam Hilger / Edward Arnold
Bibliographic details
| Format | ISBN | Year | Notes |
|---|---|---|---|
| 2nd edition, illustrated | 0852743181 | 1990 | Google Books bibliographic metadata. |
| 2nd edition, illustrated | 9780852743188 | 1990 | Google Books bibliographic metadata. |
Source notes
- Google Books bibliographic record — Confirms 2nd edition (1990), publisher line and ISBN pair.
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