Matrix Computations by Gene H. Golub
A comprehensive, practical overview of numerical linear algebra that explains key matrix algorithms—LU, QR, Cholesky, SVD, and eigenvalue methods—along with iterative solvers for large-scale problems, stability and conditioning analyses, error bounds, and implementation considerations for efficient and reliable computation in scientific and engineering applications.
Purchase from
Bookshop.org
- Published
- Unknown
- Nationality
- American
- Length
- Unknown
- Pages
- Unknown
- Original Language
- English
- Avg User Rating
-
(5.0)
- Alternate Titles
- None
This book is not currently on any lists.