Name: Numerical Linear Algebra and Matrix Factorizations (Texts in Computational Science and Engineering) (en Inglés)
Price: 62.37 USD
Availability: InStock
Author: Tom Lyche
ISBN: 9783030364670

portada Numerical Linear Algebra and Matrix Factorizations (Texts in Computational Science and Engineering) (en Inglés)

Numerical Linear Algebra and Matrix Factorizations (Texts in Computational Science and Engineering) (en Inglés)

Formato

Libro Físico

Editorial

Springer

Autor

Tom Lyche

Año

2020

Idioma

Inglés

N° páginas

371

Encuadernación

Tapa Dura

ISBN13

9783030364670

N° edición

Categorías

Ciencias de la computación

Numerical Linear Algebra and Matrix Factorizations (Texts in Computational Science and Engineering) (en Inglés)

Tom Lyche (Autor) · Springer · Tapa Dura

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Reseña del libro "Numerical Linear Algebra and Matrix Factorizations (Texts in Computational Science and Engineering) (en Inglés)"

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.