Structure-Preserving Doubling Algorithms for Nonlinear Matrix Equations

Tsang-Minq Huang, Ren-Cong Li and Wen-Wei Lin

ISBN 10: 1611975352 / ISBN 13: 9781611975352

Editore: SIAM - Society for Industrial and Applied Mathematics, (Fundamentals of Algorithms series), Philadelphia, USA, 2018

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Quarto-size, 160 pages (xii, 148), mathematical notation throughout; publisher's brown pictorial card covers: new, unmarked and untouched. Pictures show this actual book. UK orders are post-free.

Codice articolo 152814

Dati bibliografici

• Titolo: Structure-Preserving Doubling Algorithms for Nonlinear Matrix Equations
• Editore: SIAM - Society for Industrial and Applied Mathematics, (Fundamentals of Algorithms series), Philadelphia, USA
• Data di pubblicazione: 2018
• Lingua: Inglese
• ISBN 10: 1611975352
• ISBN 13: 9781611975352
• Rilegatura: Softcover/Paperback
• Edizione: First Edition.
• Condizione: New
• Condizione della sovraccoperta: No Jacket
• Cataloghi dei venditori:
  • Academic Books

Descrizione articolo

Riassunto

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.