Numerical Linear Algebra and Optimization
Language: English
Published by Society for Industrial and Applied Mathematics,U.S., US, 2021
- Softcover
- New
Seller: Rarewaves.com UK, London, United KingdomRarewaves.com UK
AbeBooks seller since June 11, 2025
Condition: New
£ 85.80
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Add to basketItem description from seller
Seller Inventory # LU-9781611976564
- Title
- Numerical Linear Algebra and Optimization
- Author
- Margaret H. Wright, Philip E. Gill, Walter Murray
- Publisher
- Society for Industrial and Applied Mathematics,U.S., US
- Publication year
- 2021
- Condition
- New
- Binding
- Paperback
- Language
- English
- ISBN 10
- 1611976561
- ISBN 13
- 9781611976564
- Item weight
- 700 grams
"Synopsis" may belong to another edition of this title.
About the Author
Walter Murray has been a professor at Stanford University since 1979. He is the director of the Systems Optimization Laboratory and was a previous director of the SCCM program and of ICME. He received his Ph.D. from the University of London in 1969 when working at the National Physical Laboratory. He has been principal advisor to 40 doctoral students from 19 countries and five continents who have graduated from a variety of universities (Stanford, London, Oxford, Royal Institute of Technology in Stockholm, South Australia).
Margaret H. Wright is Silver Professor at the Courant Institute of Mathematical Sciences, New York University. She received her Ph.D. in computer science from Stanford University. Before joining NYU, she was a researcher in the Systems Optimization Laboratory at Stanford and the Computing Science Research Center at Bell Laboratories. Her interests include numerical optimization and scientific computing. She is a member of the National Academy of Sciences, the American Academy of Arts and Sciences, and the National Academy of Engineering.
"About the title" may belong to another edition of this title.
Rarewaves.com UK
London, United Kingdom
AbeBooks seller since June 11, 2025
Shipping rates from United Kingdom to U.S.A.
| Item | 60 to 60 business days | 60 to 60 business days |
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