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Numerical Methods in Matrix Computations
Åke Björck
€ 129.75
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Description for Numerical Methods in Matrix Computations
Hardback. Numerical Methods in Matrix Computations Series: Texts in Applied Mathematics. Num Pages: 800 pages, 19 black & white illustrations, 26 colour illustrations, 7 black & white tables, biograph. BIC Classification: PBW; TBJ; UMB; UYAM. Category: (P) Professional & Vocational. Dimension: 164 x 239 x 36. Weight in Grams: 1274.
Matrix algorithms are at the core of scientific computing and are indispensable tools in most applications in engineering. This book offers a comprehensive and up-to-date treatment of modern methods in matrix computation. It uses a unified approach to direct and iterative methods for linear systems, least squares and eigenvalue problems. A thorough analysis of the stability, accuracy, and complexity of the treated methods is given.
Numerical Methods in Matrix Computations is suitable for use in courses on scientific computing and applied technical areas at advanced undergraduate and graduate level. A large bibliography is provided, which includes both historical and review papers ... Read more
Show LessProduct Details
Publisher
Springer International Publishing AG
Format
Hardback
Publication date
2014
Series
Texts in Applied Mathematics
Condition
New
Number of Pages
800
Place of Publication
Cham, Switzerland
ISBN
9783319050881
SKU
V9783319050881
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
About Åke Björck
Åke Björck is professor emeritus at Linköping University Sweden. He is the coauthor of several textbooks on numerical methods and a monograph and several papers on least squares methods. He has been visiting professor at Stanford University and University of Southern California.
Reviews for Numerical Methods in Matrix Computations
“NMMC contains, of course, all expected classical topics and results on matrix computations, but it also contains very recent material … . this is a very well written excellent book, which I strongly recommend to anybody interested in matrix computations and in computational mathematics in general. … should be very useful for a wide audience, ranging from graduate students to ... Read more