Structure-Preserving Doubling Algorithms for Nonlinear Matrix Equations
Tsung-Ming Huang · Ren-Cang Li · Wen-Wei Lin
Oct 2018 · Fundamentals of Algorithms Book 14 · SIAM
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156
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About this ebook
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 that have been recently studied and proven effective for notoriously challenging problems, such as fluid queue theory and vibration analysis for high speed trains; 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 doubling 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, and graduate students may also find it of interest.
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