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Prirodoslovno-matematički fakultet

Matematički odsjek

Seminar za numeričku matematiku i znan. računanje

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Seminar:Seminar za numeričku matematiku i znan. računanje
Naziv predavanja:Linearizations of rational matrix functions and recovery of minimal bases and minimal indices
Predavač:Rafikul Alam, IIT Guwahati, Assam, INDIA
Vrijeme: 25.05.2017 12:15
Predavaonica:104
Tip: Gost seminara
Opis:Linearization is a standard method for computing spectral data (e.g., eigenvalues, eigenvectors, minimal bases and minimal indices) of matrix polynomials. For computing spectral data (e.g., eigenvalues, poles, minimal bases and minimal indices) of rational matrix functions, the notion of linearization of matrix polynomials has been extended recently to rational matrix functions. In this talk, we describe various constructions of linearizations of rational matrix functions. We also describe recovery of minimal bases and minimal indices of a singular rational matrix function from those of the linearizations.
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