Hadamard Matrices: Insights into Their Growth Factor and Determinant Computations
Christos D. Kravvaritis ()
Additional contact information
Christos D. Kravvaritis: University of Athens
A chapter in Mathematical Analysis, Approximation Theory and Their Applications, 2016, pp 383-415 from Springer
Abstract:
Abstract In this expository paper we survey the most important progress in the growth problem for Hadamard matrices. The history of the problem is presented, the importance of determinant calculations is highlighted, and the relevant open problems are discussed. Emphasis is laid on the contribution of determinant manipulations to the study of the growth factor for Hadamard matrices after application of Gaussian Elimination with complete pivoting on them, which is an important scientific field in Numerical Analysis.
Keywords: Hadamard matrices; Gaussian Elimination; Complete pivoting; Growth factor; Determinant calculus (search for similar items in EconPapers)
Date: 2016
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:spochp:978-3-319-31281-1_17
Ordering information: This item can be ordered from
http://www.springer.com/9783319312811
DOI: 10.1007/978-3-319-31281-1_17
Access Statistics for this chapter
More chapters in Springer Optimization and Its Applications from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().