We consider the solution of systems of linear matrix equations in two or three unknown matrices. For dense problems we derive algorithms that determine the numerical solution by only involving matrices of the same size as those in the original problem, thus requiring low computational resources. For large and structured systems we show how the problem properties can be exploited to design effective algorithms with low memory and operation requirements. Numerical experiments illustrate the performance of the new methods.

Simoncini V. (2020). On the numerical solution of a class of systems of linear matrix equations. IMA JOURNAL OF NUMERICAL ANALYSIS, 40(1), 207-225 [10.1093/imanum/dry083].

On the numerical solution of a class of systems of linear matrix equations

Simoncini V.
2020

Abstract

We consider the solution of systems of linear matrix equations in two or three unknown matrices. For dense problems we derive algorithms that determine the numerical solution by only involving matrices of the same size as those in the original problem, thus requiring low computational resources. For large and structured systems we show how the problem properties can be exploited to design effective algorithms with low memory and operation requirements. Numerical experiments illustrate the performance of the new methods.
2020
Simoncini V. (2020). On the numerical solution of a class of systems of linear matrix equations. IMA JOURNAL OF NUMERICAL ANALYSIS, 40(1), 207-225 [10.1093/imanum/dry083].
Simoncini V.
File in questo prodotto:
File Dimensione Formato  
sys_eqn2_rev_rev.pdf

accesso aperto

Tipo: Postprint
Licenza: Licenza per accesso libero gratuito
Dimensione 1.07 MB
Formato Adobe PDF
1.07 MB Adobe PDF Visualizza/Apri

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/11585/784046
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 0
  • ???jsp.display-item.citation.isi??? 0
social impact