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Structure-preserving doubling algorithms for nonlinear matrix equations / Tsung-Ming Huang (National Taiwan Normal University, Taipei, Taiwan), Ren-Cang Li (University of Texas at Arlington, Arlington, Texas), Wen-Wei Lin (National Chiao Tung University, Hsinchu, Taiwan).

SIAM Society for Industrial and Applied Mathematics Books Available online

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Format:
Book
Author/Creator:
Huang, Tsung-Ming, author.
Li, Ren-Cang, author.
Lin, Wen-Wei (Mathematician), author.
Contributor:
Society for Industrial and Applied Mathematics, publisher.
Series:
Fundamentals of algorithms ; FA14.
Fundamentals of algorithms ; 14
Language:
English
Subjects (All):
Riccati equation.
Differential equations.
Algorithms.
Matrices.
Physical Description:
1 PDF (xii, 144 pages).
Place of Publication:
Philadelphia, Pennsylvania : Society for Industrial and Applied Mathematics (SIAM, 3600 Market Street, Floor 6, Philadelphia, PA 19104), [2018]
System Details:
Mode of access: World Wide Web.
System requirements: Adobe Acrobat Reader.
Summary:
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.
Contents:
Introduction
Preliminaries
General theory of doubling algorithms
Discrete-time algebraic Riccati equation
Continuous-time algebraic Riccati equation
M-matrix algebraic Riccati equation
Other algebraic Riccati equations
Nonlinear matrix equations X + BX-1A = Q.
Notes:
Includes bibliographical references and index.
Description based on title page of print version.
ISBN:
1-61197-536-0
OCLC:
1048657214
Publisher Number:
FA14 SIAM

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