Structure-Preserving Doubling Algorithms for Nonlinear Matrix Equations Paperback / softback
by Tsung-Ming Huang, Ren-Cang Li, Wen-Wei Lin
Part of the Fundamentals of Algorithms series
Paperback / softback
Description
Nonlinear matrix equations arise frequently in applied science and engineering.
This is the first book to provide a unified treatment of structure-preserving doubling algorithms, which have been recently studied and proven effective for notoriously challenging problems, such as fluid queue theory and vibration analysis for high-speed trains.
The authors present recent developments and results for the theory of doubling algorithms for nonlinear matrix equations associated with regular matrix pencils, and highlight the use of these algorithms in achieving robust solutions for notoriously challenging problems that other methods cannot. Structure-Preserving Doubling Algorithms for Nonlinear Matrix Equations is intended for researchers and computational scientists.
Graduate students may also find it of interest.
Information
-
Available to Order - This title is available to order, with delivery expected within 2 weeks
- Format:Paperback / softback
- Pages:144 pages
- Publisher:Society for Industrial & Applied Mathematics,U.S.
- Publication Date:30/11/2018
- Category:
- ISBN:9781611975352
Information
-
Available to Order - This title is available to order, with delivery expected within 2 weeks
- Format:Paperback / softback
- Pages:144 pages
- Publisher:Society for Industrial & Applied Mathematics,U.S.
- Publication Date:30/11/2018
- Category:
- ISBN:9781611975352
