
Numerical Linear Algebra
Society for Industrial & Applied Mathematics,U.S. (Publisher)
25th Edition
Will be published approx. on 30. July 2022
Book
Paperback/Softback
370 pages
978-1-61197-715-8 (ISBN)
Description
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.
Reviews / Votes
A beautifully written textbook offering a distinctive and original treatment.""- Nicholas J. Higham, University of Manchester""Offers a rarely seen integration of computation and theory, illuminated by judiciously chosen examples.""- Ilse Ipsen, North Carolina State University
""Almost the perfect text to introduce graduate students to the subject.""- Daniel Szyld, Temple University
""An ideal book for a graduate course in numerical linear algebra.""- Suely Oliveira, University of Iowa
More details
Series
Edition
25th Anniversary Edition
Language
English
Place of publication
New York
United States
Target group
Professional and scholarly
Edition type
New edition
Weight
838 gr
ISBN-13
978-1-61197-715-8 (9781611977158)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Previous edition

Lloyd N. Trefethen | David Bau III
Numerical Linear Algebra
Book
06/1997
Society for Industrial & Applied Mathematics,U.S.
€76.50
Shipment within 3-4 weeks
Persons
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.
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.