Numerical Linear Algebra by Lloyd N. Trefethen - ISBN: 9781611977158
Paperback
Concise, clear numerical linear algebra: A trusted guide for the world.

$124.31

  • Paperback

    370 pages

  • Release Date

    30 July 2022

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Summary

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.

Book Details

ISBN-13:9781611977158
ISBN-10:1611977150
Author:Lloyd N. Trefethen, David Bau
Publisher:Society for Industrial & Applied Mathematics,U.S.
Imprint:Society for Industrial & Applied Mathematics,U.S.
Format:Paperback
Number of Pages:370
Edition:25th
Release Date:30 July 2022
Weight:838g
Dimensions:259mm x 181mm
Series:Other Titles in Applied Mathematics
What They're Saying

Critics Review

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

About The Author

Lloyd N. Trefethen

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.

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