Matrix Computations 4th Edition: 3
RSD 14362
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Matrix Computations is packed with challenging problems, insightful derivations, and pointers to the literature―everything needed to become a matrix-savvy developer of numerical methods and software.
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- A comprehensive treatment of numerical linear algebra from the standpoint of both theory and practice.The fourth edition of Gene H. Golub and Charles F. Van Loan's classic is an essential reference for computational scientists and engineers in addition to researchers in the numerical linear algebra community. Anyone whose work requires the solution to a matrix problem and an appreciation of its mathematical properties will find this book to be an indispensible tool. This revision is a cover-to-cover expansion and renovation of the third edition. It now includes an introduction to tensor computations and brand new sections on • fast transforms• parallel LU• discrete Poisson solvers• pseudospectra• structured linear equation problems• structured eigenvalue problems• large-scale SVD methods• polynomial eigenvalue problems Matrix Computations is packed with challenging problems, insightful derivations, and pointers to the literature―everything needed to become a matrix-savvy developer of numerical methods and software. The second most cited math book of 2012 according to MathSciNet, the book has placed in the top 10 for since 2005. Daha fazla göster
| Yayıncı | Johns Hopkins University Press |
| Yayınlanma Tarihi | 22 Şubat 2013 |
| Baskı | fourth edition |
| Dil | İngilizce |
| Baskı Uzunluğu | 784 sayfa |
| ISBN-10 | 1421407949 |
| ISBN-13 | 978-1421407944 |
| Boyutlar | 17.78 x 4.7 x 25.4 cm |
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Matrix Computations 4th Edition: 3
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İngilizce Baskı Gene H. Golub Editorial Review
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RSD 14362
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Features & Benefits
- Comprehensive treatment of numerical linear algebra
- Essential reference for computational scientists and engineers
- Cover-to-cover expansion and renovation in the fourth edition
- Includes new sections on fast transforms, parallel LU, and more
- Packed with challenging problems and insightful derivations
- One of the most cited math books according to MathSciNet
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