Numerical Linear Algebra and Matrix Factorizations /

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...

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Bibliographic Details
Main Author:	Lyche, Tom (Author)
Corporate Author:	SpringerLink (Online service)
Format:	eBook
Language:	English
Published:	Cham : Springer International Publishing : Imprint: Springer, 2020.
Edition:	1st ed. 2020.
Series:	Texts in Computational Science and Engineering, 22
Subjects:	Matrix theory. Algebra. Algorithms. Computer mathematics. Numerical analysis. Linear and Multilinear Algebras, Matrix Theory. Computational Science and Engineering. Numerical Analysis. Electronic books.
Online Access:	Connect to the full text of this electronic book

Table of Contents:

A Short Review of Linear Algebra
LU and QR Factorizations
Eigenpairs and Singular Values
Matrix Norms and Least Squares
Kronecker Products and Fourier Transforms
Iterative Methods for Large Linear Systems
Eigenvalues and Eigenvectors
Index.