Numerical Linear Algebra and Matrix Factorizations

Numerical Linear Algebra and Matrix Factorizations
Author :
Publisher : Springer Nature
Total Pages : 376
Release :
ISBN-10 : 9783030364687
ISBN-13 : 3030364682
Rating : 4/5 (682 Downloads)

Book Synopsis Numerical Linear Algebra and Matrix Factorizations by : Tom Lyche

Download or read book Numerical Linear Algebra and Matrix Factorizations written by Tom Lyche and published by Springer Nature. This book was released on 2020-03-02 with total page 376 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.


Numerical Linear Algebra and Matrix Factorizations Related Books

Numerical Linear Algebra and Matrix Factorizations
Language: en
Pages: 376
Authors: Tom Lyche
Categories: Mathematics
Type: BOOK - Published: 2020-03-02 - Publisher: Springer Nature

GET EBOOK

After reading this book, students should be able to analyze computational problems in linear algebra such as linear systems, least squares- and eigenvalue probl
Numerical Linear Algebra for Applications in Statistics
Language: en
Pages: 229
Authors: James E. Gentle
Categories: Mathematics
Type: BOOK - Published: 2012-12-06 - Publisher: Springer Science & Business Media

GET EBOOK

Accurate and efficient computer algorithms for factoring matrices, solving linear systems of equations, and extracting eigenvalues and eigenvectors. Regardless
Exercises in Numerical Linear Algebra and Matrix Factorizations
Language: en
Pages: 273
Authors: Tom Lyche
Categories: Mathematics
Type: BOOK - Published: 2020-11-02 - Publisher: Springer Nature

GET EBOOK

To put the world of linear algebra to advanced use, it is not enough to merely understand the theory; there is a significant gap between the theory of linear al
Numerical Algebra, Matrix Theory, Differential-Algebraic Equations and Control Theory
Language: en
Pages: 635
Authors: Peter Benner
Categories: Mathematics
Type: BOOK - Published: 2015-05-09 - Publisher: Springer

GET EBOOK

This edited volume highlights the scientific contributions of Volker Mehrmann, a leading expert in the area of numerical (linear) algebra, matrix theory, differ
Numerical Linear Algebra
Language: en
Pages: 387
Authors: Lloyd N. Trefethen
Categories: Mathematics
Type: BOOK - Published: 2022-06-17 - Publisher: SIAM

GET EBOOK

Since its original appearance in 1997, Numerical Linear Algebra has been a leading textbook in its field, used in universities around the world. It is noted for