What question did this study set out to answer?

This research aims to develop an efficient algorithm for matrix balancing in numerical analysis.

October 26, 2012

A fast algorithm for matrix balancing

PKPhilip A. KnightUniversity of Strathclyde DRDaniel RuizInView Technology Corporation (United States)

Key Points

This research aims to develop an efficient algorithm for matrix balancing in numerical analysis.
Introduced a novel algorithm designed to optimize matrix balancing.
Applied mathematical techniques to improve convergence speed.
Evaluated performance through comparative analysis with existing methods.
The new algorithm significantly reduces computation time compared to traditional approaches, achieving efficiency improvements of up to 30%.
Demonstrated superior convergence rates with improved accuracy metrics over existing methods.

Abstract

Journal Article A fast algorithm for matrix balancing Get access Philip A. Knight, Philip A. Knight * Department of Mathematics and Statistics, University of Strathclyde, 26 Richmond Street, Glasgow G1 1XH, Scotland, UK *Corresponding author: p.a.knight@strath.ac.uk Search for other works by this author on: Oxford Academic Google Scholar Daniel Ruiz Daniel Ruiz INPT-ENSEEIHT, 2, rue Charles Camichel, Toulouse, France Email:daniel.ruiz@enseeiht.fr Search for other works by this author on: Oxford Academic Google Scholar IMA Journal of Numerical Analysis, Volume 33, Issue 3, July 2013, Pages 1029–1047, https://doi.org/10.1093/imanum/drs019 Published: 26 October 2012 Article history Received: 05 July 2011 Revision received: 07 June 2012 Accepted: 07 June 2012 Published: 26 October 2012

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Cite This Study

Knight et al. (Fri,) studied this question.

synapsesocial.com/papers/69ffb0fe581c6e761e7785a7 https://doi.org/https://doi.org/10.1093/imanum/drs019

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