Form of presentation | Non-approved textbooks |
Year of publication | 2017 |
Язык | английский |
|
Karchevskiy Evgeniy Mikhaylovich, author
Karchevskiy Mikhail Mironovich, author
|
|
Beilina Larisa , author
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Bibliographic description in the original language |
Beilina L., Karchevskii E., Karchevskii M. Numerical Linear Algebra: Theory and Applications. - Springer International Publishing, 2017. - 524 p. |
Annotation |
This book combines a solid theoretical background in linear algebra with practical algorithms for numerical solution of linear algebra problems. Developed from a number of courses taught repeatedly by the authors, the material covers topics like matrix algebra, theory for linear systems of equations, spectral theory, vector and matrix norms combined with main direct and iterative numerical methods, least squares problems, and eigenproblems. Numerical algorithms illustrated by computer programs written in MATLAB are also provided as supplementary material on SpringerLink to give the reader a better understanding of professional numerical software for the solution of real-life problems. Perfect for a one- or two-semester course on numerical linear algebra, matrix computation, and large sparse matrices, this text will interest students at the advanced undergraduate or graduate level. |
Keywords |
Numerical calculations, Linear algebra |
URL |
https://link.springer.com/book/10.1007/978-3-319-57304-5 |
Please use this ID to quote from or refer to the card |
https://repository.kpfu.ru/eng/?p_id=159977&p_lang=2 |
Full metadata record |
Field DC |
Value |
Language |
dc.contributor.author |
Karchevskiy Evgeniy Mikhaylovich |
ru_RU |
dc.contributor.author |
Karchevskiy Mikhail Mironovich |
ru_RU |
dc.contributor.author |
Beilina Larisa |
ru_RU |
dc.date.accessioned |
2017-01-01T00:00:00Z |
ru_RU |
dc.date.available |
2017-01-01T00:00:00Z |
ru_RU |
dc.date.issued |
2017 |
ru_RU |
dc.identifier.citation |
Beilina L., Karchevskii E., Karchevskii M. Numerical Linear Algebra: Theory and Applications. - Springer International Publishing, 2017. - 524 p. |
ru_RU |
dc.identifier.uri |
https://repository.kpfu.ru/eng/?p_id=159977&p_lang=2 |
ru_RU |
dc.description.abstract |
This book combines a solid theoretical background in linear algebra with practical algorithms for numerical solution of linear algebra problems. Developed from a number of courses taught repeatedly by the authors, the material covers topics like matrix algebra, theory for linear systems of equations, spectral theory, vector and matrix norms combined with main direct and iterative numerical methods, least squares problems, and eigenproblems. Numerical algorithms illustrated by computer programs written in MATLAB are also provided as supplementary material on SpringerLink to give the reader a better understanding of professional numerical software for the solution of real-life problems. Perfect for a one- or two-semester course on numerical linear algebra, matrix computation, and large sparse matrices, this text will interest students at the advanced undergraduate or graduate level. |
ru_RU |
dc.language.iso |
ru |
ru_RU |
dc.subject |
Numerical calculations |
ru_RU |
dc.subject |
Linear algebra |
ru_RU |
dc.title |
Numerical Linear Algebra: Theory and Applications |
ru_RU |
dc.type |
Non-approved textbooks |
ru_RU |
|