Structure-Preserving Doubling Algorithms for Nonlinear Matrix Equations

Download or read book Structure-Preserving Doubling Algorithms for Nonlinear Matrix Equations written by Tsung-Ming Huang and published by SIAM. This book was released on 2018-10-04 with total page 151 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.