Structure-preserving doubling algorithms for nonlinear matrix equations

著者

    • Huang, Tsung-Ming
    • Li, Ren-Cang
    • Lin, Wen-Wei

書誌事項

Structure-preserving doubling algorithms for nonlinear matrix equations

Tsung-Ming Huang, Ren-Cang Li, Wen-Wei Lin

(Fundamentals of algorithms, 14)

Society for Industrial and Applied Mathematics, c2018

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注記

Includes bibliographical references (p. 135-142) and index

内容説明・目次

内容説明

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. Structure-Preserving Doubling Algorithms for Nonlinear Matrix Equations is intended for researchers and computational scientists. Graduate students may also find it of interest.

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詳細情報

  • NII書誌ID(NCID)
    BB27264922
  • ISBN
    • 9781611975352
  • 出版国コード
    us
  • タイトル言語コード
    eng
  • 本文言語コード
    eng
  • 出版地
    Philadelphia
  • ページ数/冊数
    xii, 144 p.
  • 大きさ
    26 cm
  • 親書誌ID
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