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portada Structure-Preserving Doubling Algorithms for Nonlinear Matrix Equations
Type
Physical Book
Publisher
Author
Collection
Fundamentals of Algorithms
Year
2018
Language
English
Pages
144
Format
Paperback
Dimensions
22.90 x 15.20 cm
ISBN13
9781611975352

Structure-Preserving Doubling Algorithms for Nonlinear Matrix Equations

Tsung-Ming Huang;Ren-Cang Li;Wen-Wei Lin (Author) · SIAM - Society for Industrial and Applied Mathematics · Paperback

Structure-Preserving Doubling Algorithms for Nonlinear Matrix Equations - Tsung-Ming Huang;Ren-Cang Li;Wen-Wei Lin

New Book Imported to Netherlands
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Synopsis "Structure-Preserving Doubling Algorithms for Nonlinear Matrix Equations"

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.

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.

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