Solving Ax=b
Robert M. Corless and
Nicolas Fillion
Additional contact information
Robert M. Corless: University of Western Ontario, Applied Mathematics
Nicolas Fillion: University of Western Ontario, Applied Mathematics
Chapter Chapter 4 in A Graduate Introduction to Numerical Methods, 2013, pp 167-237 from Springer
Abstract:
Abstract This chapter first shows how to solve $$\mathbf{A}\mathbf{x} = \mathbf{b}$$ in the simple cases in which $$\mathbf{A}$$ is unitary or triangular, and then explains how the QR factoring can be used to reduce other problems to these simple cases. We show that these methods are backward stable; that is, they exactly solve a slightly perturbed problem. In order to understand how these small perturbations affect the solution, we then introduce the crucial notion of condition number in relation to the most important factoring, namely, the singular value decomposition (SVD). We also examine the LU factoring (equivalent to Gaussian elimination) and a number of applications of the main factorings. We end the chapter with a short discussion of nonlinear systems. ⊲
Keywords: Condition Number; Singular Value Decomposition; Gaussian Elimination; Triangular System; Partial Pivoting (search for similar items in EconPapers)
Date: 2013
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-1-4614-8453-0_4
Ordering information: This item can be ordered from
http://www.springer.com/9781461484530
DOI: 10.1007/978-1-4614-8453-0_4
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().