This paper presents a definition for local linearizations of rational matrices and studies their properties. This definition allows to introduce matrix pencils associated to a rational matrix that preserve its structure of zeros and poles in subsets of any algebraically closed field and also at infinity. This new theory of local linearizations captures and explains rigorously the properties of all the different pencils that have been used from the 1970's until 2020 for computing zeros, poles and eigenvalues of rational matrices. Particular attention is paid to those pencils that have appeared recently in the numerical solution of nonlinear eigenvalue problems through rational approximation
Funding Information: Supported by an Academy of Finland grant (Suomen Akatemian päätös 331240).Suppo...
Abstract. The classical approach to investigating polynomial eigenvalue problems is linearization, w...
The classical approach to investigating polynomial eigenvalue problems is linearization, where the ...
This paper presents a definition for local linearizations of rational matrices and studies their pro...
This paper presents a definition for local linearizations of rational matrices and studies their pro...
This paper presents a definition for local linearizations of rational matrices and studies their pro...
This paper defines for the first time strong linearizations of arbitrary rational matrices, studies ...
This paper defines for the first time strong linearizations of arbitrary rational matrices, studies ...
This paper defines for the first time strong linearizations of arbitrary rational matrices, studies ...
Publisher Copyright: © 2022 Informa UK Limited, trading as Taylor & Francis Group.We introduce a new...
This paper defines for the first time strong linearizations of arbitrary rational matrices, studies ...
This paper defines for the first time strong linearizations of arbitrary rational matrices, studies ...
AbstractIt is possible to generalize the fruitful interaction between (real or complex) Jacobi matri...
The notion of root polynomials of a polynomial matrix $P(\lambda)$ was thoroughly studied in [F. Dop...
This thesis concerns the analysis and sensitivity of nonlinear eigenvalue problems for matrices and ...
Funding Information: Supported by an Academy of Finland grant (Suomen Akatemian päätös 331240).Suppo...
Abstract. The classical approach to investigating polynomial eigenvalue problems is linearization, w...
The classical approach to investigating polynomial eigenvalue problems is linearization, where the ...
This paper presents a definition for local linearizations of rational matrices and studies their pro...
This paper presents a definition for local linearizations of rational matrices and studies their pro...
This paper presents a definition for local linearizations of rational matrices and studies their pro...
This paper defines for the first time strong linearizations of arbitrary rational matrices, studies ...
This paper defines for the first time strong linearizations of arbitrary rational matrices, studies ...
This paper defines for the first time strong linearizations of arbitrary rational matrices, studies ...
Publisher Copyright: © 2022 Informa UK Limited, trading as Taylor & Francis Group.We introduce a new...
This paper defines for the first time strong linearizations of arbitrary rational matrices, studies ...
This paper defines for the first time strong linearizations of arbitrary rational matrices, studies ...
AbstractIt is possible to generalize the fruitful interaction between (real or complex) Jacobi matri...
The notion of root polynomials of a polynomial matrix $P(\lambda)$ was thoroughly studied in [F. Dop...
This thesis concerns the analysis and sensitivity of nonlinear eigenvalue problems for matrices and ...
Funding Information: Supported by an Academy of Finland grant (Suomen Akatemian päätös 331240).Suppo...
Abstract. The classical approach to investigating polynomial eigenvalue problems is linearization, w...
The classical approach to investigating polynomial eigenvalue problems is linearization, where the ...