Structure-preserving doubling algorithms for nonlinear matrix equations / Tsung-Ming Huang, Ren-Cang Li, Wen-Wei Lin.

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Bibliographic Details
Online Access: Full Text (via SIAM)
Main Authors: Huang, Tsung-Ming (Author), Li, Ren-Cang (Author), Lin, Wen-Wei (Mathematician) (Author)
Format: eBook
Language:English
Published: Philadelphia : Society for Industrial and Applied Mathematics, [2018]
Series:Fundamentals of algorithms ; FA14.
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Description
Abstract: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.
Physical Description:1 online resource.
Bibliography:Includes bibliographical references and index.
ISBN:9781611975369
1611975360
Source of Description, Etc. Note:Description based on print version record.