Numerical Linear Algebra
Seiten
2022
|
25th Revised edition
Society for Industrial & Applied Mathematics,U.S. (Verlag)
978-1-61197-715-8 (ISBN)
Society for Industrial & Applied Mathematics,U.S. (Verlag)
978-1-61197-715-8 (ISBN)
Since its original appearance in 1997, Numerical Linear Algebra has been a leading textbook in its field. It is noted for its 40 lecture-sized short chapters and its clear and inviting style. It is reissued here with a new foreword by James Nagy and a new afterword by Yuji Nakatsukasa about subsequent developments.
Since its original appearance in 1997, Numerical Linear Algebra has been a leading textbook in its field, used in universities around the world. It is noted for its 40 lecture-sized short chapters and its clear and inviting style. It is reissued here with a new foreword by James Nagy and a new afterword by Yuji Nakatsukasa about subsequent developments.
Since its original appearance in 1997, Numerical Linear Algebra has been a leading textbook in its field, used in universities around the world. It is noted for its 40 lecture-sized short chapters and its clear and inviting style. It is reissued here with a new foreword by James Nagy and a new afterword by Yuji Nakatsukasa about subsequent developments.
Nick Trefethen is Professor of Numerical Analysis and head of the Numerical Analysis Group at Oxford University. An American, he taught previously at MIT and Cornell. He is a Fellow of the Royal Society and a former President of SIAM. David Bau was a student of Trefethen at Cornell when this book was written and then had a career in the tech industry, notably at Microsoft and Google. Most recently he has joined the computer science faculty at Northeastern University, where he leads a research group in computer vision and machine learning.
| Erscheinungsdatum | 01.07.2022 |
|---|---|
| Reihe/Serie | Other Titles in Applied Mathematics |
| Verlagsort | New York |
| Sprache | englisch |
| Gewicht | 838 g |
| Themenwelt | Mathematik / Informatik ► Mathematik ► Algebra |
| Mathematik / Informatik ► Mathematik ► Analysis | |
| ISBN-10 | 1-61197-715-0 / 1611977150 |
| ISBN-13 | 978-1-61197-715-8 / 9781611977158 |
| Zustand | Neuware |
| Haben Sie eine Frage zum Produkt? |
Mehr entdecken
aus dem Bereich
aus dem Bereich
