Numerical Solution of Algebraic Riccati Equations

Häftad, Engelska, 2012

930 kr

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Beskrivning

This concise and comprehensive treatment of the basic theory of algebraic Riccati equations describes the classical as well as the more advanced algorithms for their solution in a manner that is accessible to both practitioners and scholars. It is the first book in which nonsymmetric algebraic Riccati equations are treated in a clear and systematic way. Some proofs of theoretical results have been simplified and a unified notation has been adopted.Readers will find a discussion of doubling algorithms, which are effective in solving algebraic Riccati equations, and a detailed description of all classical and advanced algorithms for solving algebraic Riccati equations, along with their MATLAB® codes. This will help the reader gain understanding of the computational issues and provide ready-to-use implementation of the different solution techniques.

Produktinformation

Utgivningsdatum:2012-01-30
Mått:175 x 254 x 15 mm
Vikt:471 g
Format:Häftad
Språk:Engelska
Serie:Fundamentals of Algorithms
Antal sidor:266
Förlag:Society for Industrial & Applied Mathematics,U.S.
ISBN:9781611972085

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Mer om författaren

Dario A. Bini is Professor of Numerical Analysis at the University of Pisa. He is coauthor of two other books on polynomial and matrix computations and on the numerical solution of Markov chains. He specialises in numerical linear algebra and polynomial computations. Bruno Iannazzo is Researcher in Numerical Analysis at the University of Perugia. His main interests are in the field of numerical linear algebra with specific attention to matrix functions and matrix equations. Beatrice Meini is Associate Professor at the University of Pisa. She is coauthor of a book on the numerical solution of structured Markov chains. Her interests are addressed to numerical linear algebra and its applications with special focus on matrix equations and Markov chains.

Innehållsförteckning

PrefaceChapter 1: Introduction and PreliminariesChapter 2: Theoretical AnalysisChapter 3: Classical AlgorithmsChapter 4: Structured Invariant Subspace MethodsChapter 5: Doubling AlgorithmsChapter 6: Algorithms for Large Scale ProblemsAppendix A: Basic PropertiesListingsNotationBibliographyIndex.