Форма представления | Учебники без грифа |
Год публикации | 2017 |
Язык | английский |
|
Карчевский Евгений Михайлович, автор
Карчевский Михаил Миронович, автор
|
|
Beilina Larisa , автор
|
Библиографическое описание на языке оригинала |
Beilina L., Karchevskii E., Karchevskii M. Numerical Linear Algebra: Theory and Applications. - Springer International Publishing, 2017. - 524 p. |
Аннотация |
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. |
Ключевые слова |
Numerical calculations, Linear algebra |
URL |
https://link.springer.com/book/10.1007/978-3-319-57304-5 |
Пожалуйста, используйте этот идентификатор, чтобы цитировать или ссылаться на эту карточку |
https://repository.kpfu.ru/?p_id=159977 |
Полная запись метаданных |
Поле DC |
Значение |
Язык |
dc.contributor.author |
Карчевский Евгений Михайлович |
ru_RU |
dc.contributor.author |
Карчевский Михаил Миронович |
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/?p_id=159977 |
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 |
Учебники без грифа |
ru_RU |
|