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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)

By: Contributor(s): Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: Fundamentals of algorithms ; 14Publisher: Philadelphia : Society for Industrial and Applied Mathematics, [2018]Description: 1 Online-Ressource (xi, 144 Seiten)ISBN:
  • 9781611975369
Subject(s): Additional physical formats: 9781611975352 | Erscheint auch als: Structure-preserving doubling algorithms for nonlinear matrix equations. Druck-Ausgabe Philadelphia : Siam, Society for Industrial and Applied Mathematics, 2018. xii, 144 SeitenDDC classification:
  • 512.9434
  • 512.9/434#23
  • 512.9/434 23
MSC: MSC: 65-02 | 65F30 | 65H10 | 15A24LOC classification:
  • QA371
DOI: DOI: 10.1137/1.9781611975369Online resources: 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.PPN: PPN: 1047355434Package identifier: Produktsigel: ZDB-72-SIA
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