This chapter provides a survey of the classical algorithms for the numerical solution of algebraic Riccati and related matrix equations. Our attention is focused on algorithms based on invariant subspace techniques and on functional iterations. We describe in details the derivation of these algorithms for the CARE and briefly explain how to adapt them to the other cases. The chapter starts with the description and analysis of algorithms for solving linear matrix equations such as Sylvester, Lyapunov, and Stein equations and their generalizations. Then it continues with the study of the main classical techniques for solving algebraic Riccati equations, more specifically, methods based on Schur decomposition, Newton's iteration, iterative refinement, and the matrix sign iteration.

3. Classical Algorithms

Bini Dario Andrea;Iannazzo Bruno;Meini Beatrice
2012-01-01

Abstract

This chapter provides a survey of the classical algorithms for the numerical solution of algebraic Riccati and related matrix equations. Our attention is focused on algorithms based on invariant subspace techniques and on functional iterations. We describe in details the derivation of these algorithms for the CARE and briefly explain how to adapt them to the other cases. The chapter starts with the description and analysis of algorithms for solving linear matrix equations such as Sylvester, Lyapunov, and Stein equations and their generalizations. Then it continues with the study of the main classical techniques for solving algebraic Riccati equations, more specifically, methods based on Schur decomposition, Newton's iteration, iterative refinement, and the matrix sign iteration.
2012
Bini, DARIO ANDREA; Iannazzo, Bruno; Meini, Beatrice
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11568/1032581
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? 0
social impact