Authors:
- Contains a new unifying approach to quadratic vector and matrix equations in applied probability
- Gives new insight on the structured doubling algorithm which can be exploited to develop suitable modifications and generalizations
- Contains a variety of new research results which, as of today, are only available in articles or preprints
Part of the book series: Publications of the Scuola Normale Superiore (PSNS, volume 16)
Part of the book sub series: Theses (Scuola Normale Superiore) (TSNS)
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Table of contents (13 chapters)
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Front Matter
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Linear algebra preliminaries
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Quadratic vector and matrix equations
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Front Matter
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Rank-structured NAREs
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Front Matter
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Matrix equations from control theory
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Front Matter
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Matrix geometric means
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Front Matter
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Back Matter
About this book
Authors and Affiliations
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Sekretariat MA 4–5, Berlin, Germany
Federico Poloni
Bibliographic Information
Book Title: Algorithms for Quadratic Matrix and Vector Equations
Authors: Federico Poloni
Series Title: Publications of the Scuola Normale Superiore
DOI: https://doi.org/10.1007/978-88-7642-384-0
Publisher: Edizioni della Normale Pisa
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Scuola Normale Superiore Pisa 2011
Softcover ISBN: 978-88-7642-383-3Due: 11 November 2011
eBook ISBN: 978-88-7642-384-0Published: 13 March 2012
Series ISSN: 2239-1460
Series E-ISSN: 2532-1668
Edition Number: 1
Number of Pages: 250
Topics: Algebra