9783030364670 - numerical linear algebra and matrix factorizations (texts in computational science and engineering, 22, band 22) von lyche (3 Ergebnisse)
Sprache: Englisch
Verlag: Springer, 2020
Serie: Buch 26 von 29 - Texts in Computational Science and Engineering
- Hardcover
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes KönigreichRia Christie Collections
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EUR 43,89
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Zustand: New. In.
Sprache: Englisch
Verlag: Springer, 2020
Serie: Buch 26 von 29 - Texts in Computational Science and Engineering
- Hardcover
Anbieter: Revaluation Books, Exeter, Vereinigtes KönigreichRevaluation Books
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Hardcover. Zustand: Brand New. 396 pages. 9.25x6.10x1.14 inches. In Stock.
Sprache: Englisch
Verlag: Birkhäuser, 2020
Serie: Buch 26 von 29 - Texts in Computational Science and Engineering
- Hardcover
Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH
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EUR 79,75
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Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - After reading this book, students should be able to analyze computational problems in linear algebra such as linear systems, least squares- and eigenvalue problems, and to develop their own algorithms for solving them. Since these problems can be large and…difficult to handle, much can be gained by understanding and taking advantage of special structures. This in turn requires a good grasp of basic numerical linear algebra and matrix factorizations. Factoring a matrix into a product of simpler matrices is a crucial tool in numerical linear algebra, because it allows us to tackle complex problems by solving a sequence of easier ones. The main characteristics of this book are as follows: It is self-contained, only assuming that readers have completed first-year calculus and an introductory course on linear algebra, and that they have some experience with solving mathematical problems on a computer. The book provides detailed proofs of virtually all results.Further, its respective parts can be used independently, making it suitable for self-study. The book consists of 15 chapters, divided into five thematically oriented parts. The chapters are designed for a one-week-per-chapter, one-semester course. To facilitate self-study, an introductory chapter includes a brief review of linear algebra.
