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Structure-Preserving Doubling Algorithms for Nonlinear Matrix Equations
Tsung-Ming HuangRen-Cang LiWen-Wei Lin
出版SIAM, 2018-10-04
主題Mathematics / Algebra / LinearScience / Physics / Mathematical & ComputationalMathematics / Functional AnalysisTechnology & Engineering / AutomationMathematics / Numerical Analysis
ISBN16119753529781611975352
URLhttp://books.google.com.hk/books?id=S1dxDwAAQBAJ&hl=&source=gbs_api
EBookSAMPLE
註釋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.