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## Details

Genre/Form: | Electronic books |
---|---|

Additional Physical Format: | Print version: Wendland, Holger, 1968- Numerical linear algebra. Cambridge : Cambridge University Press, 2018 (OCoLC)991682675 |

Material Type: | Document, Internet resource |

Document Type: | Internet Resource, Computer File |

All Authors / Contributors: |
Holger Wendland |

ISBN: | 9781316544938 1316544931 |

OCLC Number: | 1015244737 |

Description: | 1 online resource (x, 408 pages) : illustrations. |

Contents: | Introduction -- Error, stability and conditioning -- Direct methods for solving linear systems -- Iterative methods for solving linear systems -- Calculations of eigenvalues -- Methods for large sparse systems -- Methods for large dense systems -- Preconditioning -- Compressed sensing. |

Series Title: | Cambridge texts in applied mathematics. |

Responsibility: | Holger Wendland, Universität Bayreuth, Germany. |

### Abstract:

## Reviews

*Editorial reviews*

Publisher Synopsis

'Wendland delivers an introductory textbook on numerical linear algebra intended for advanced undergraduate and graduate students in applied mathematics. The book covers fairly standard material in this area; it includes error analysis and ill-conditioning, direct and iterative methods for the solution of linear systems of equations, least squares problems, and eigenvalue problems. Additional advanced topics that are not usually covered in introductory textbooks include multipole expansions, domain decomposition methods, and compressive sensing. The book is generally theoretical and mathematically rigorous in its approach. Algorithms are given only in pseudocode. ... The text will be of interest primarily to instructors and students in graduate numerical linear algebra courses.' B. Borchers, Choice 'Wendland delivers an introductory textbook on numerical linear algebra intended for advanced undergraduate and graduate students in applied mathematics. The book covers fairly standard material in this area; it includes error analysis and ill-conditioning, direct and iterative methods for the solution of linear systems of equations, least squares problems, and eigenvalue problems. Additional advanced topics that are not usually covered in introductory textbooks include multipole expansions, domain decomposition methods, and compressive sensing. The book is generally theoretical and mathematically rigorous in its approach. Algorithms are given only in pseudocode. ... The text will be of interest primarily to instructors and students in graduate numerical linear algebra courses.' B. Borchers, Choice Read more...

*User-contributed reviews*