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Numerical Linear Algebra Twenty-fifth Anniversary Edition [Pehme köide]

5.00/5 (2 hinnangut Goodreads-ist)
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  • Formaat: Paperback / softback, 370 pages, kaal: 838 g
  • Sari: Other Titles in Applied Mathematics
  • Ilmumisaeg: 30-Jul-2022
  • Kirjastus: Society for Industrial & Applied Mathematics,U.S.
  • ISBN-10: 1611977150
  • ISBN-13: 9781611977158
Teised raamatud teemal:
Numerical Linear Algebra Twenty-fifth Anniversary EditionSuurem pilt
  • Formaat: Paperback / softback, 370 pages, kaal: 838 g
  • Sari: Other Titles in Applied Mathematics
  • Ilmumisaeg: 30-Jul-2022
  • Kirjastus: Society for Industrial & Applied Mathematics,U.S.
  • ISBN-10: 1611977150
  • ISBN-13: 9781611977158
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9781611977158.html
Märksõnad:
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.

Arvustused

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

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.