Quadratic matrix and vector equations appear in different forms, in several practical applications, especially in applied probability and control theory. This book focuses on "matrix multiplication-rich" iterations such as cyclic reduction and the structured doubling algorithm (SDA) and contains a variety of research results. Series: Publications of the Scuola Normale Superiore. Num Pages: 250 pages, biography. BIC Classification: PBF; PBK. Category: (P) Professional & Vocational. Dimension: 240 x 168 x 28. Weight in Grams: 499. . 2011. 2011th Edition. Paperback. . . . .

N� de ref. del art�culo V9788876423833

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Detalles bibliogr�ficos

T�tulo

Algorithms for Quadratic Matrix and Vector Equations (Publications of the Scuola Normale Superiore / Theses (Scuola Normale Superiore))

Editor

Edizioni della Normale

Fecha de publicaci�n

2011

Idioma

Ingl�s

ISBN 10

8876423834

ISBN 13

9788876423833

Encuadernaci�n

Encuadernaci�n de tapa blanda

Estado

New

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Sinopsis

This book is devoted to studying algorithms for the solution of a class of quadratic matrix and vector equations. These equations appear, in different forms, in several practical applications, especially in applied probability and control theory. The equations are first presented using a novel unifying approach; then, specific numerical methods are presented for the cases most relevant for applications, and new algorithms and theoretical results developed by the author are presented. The book focuses on “matrix multiplication-rich” iterations such as cyclic reduction and the structured doubling algorithm (SDA) and contains a variety of new research results which, as of today, are only available in articles or preprints.

De la contraportada

This book is devoted to studying algorithms for the solution of a class of quadratic matrix and vector equations. These equations appear, in different forms, in several practical applications, especially in applied probability and control theory. The equations are first presented using a novel unifying approach; then, specific numerical methods are presented for the cases most relevant for applications, and new algorithms and theoretical results developed by the author are presented. The book focuses on matrix multiplication-rich iterations such as cyclic reduction and the structured doubling algorithm (SDA) and contains a variety of new research results which, as of today, are only available in articles or preprints.

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