The standard way of solving the polynomial eigenvalue problem associated with a matrix polynomial is to embed the matrix coefficients of the polynomial into a matrix pencil, transforming the problem into an equivalent generalized eigenvalue problem. Such pencils are known as linearizations. Many of the families of linearizations for matrix polynomials available in the literature are extensions of the so-called family of Fiedler pencils. These families are known as generalized Fiedler pencils, Fiedler pencils with repetition, and generalized Fiedler pencils with repetition or Fiedler like pencils for simplicity. The goal of this work is to unify the Fiedler-like pencils approach with the more recent one based on strong block minimal bases pe...
In this paper, we obtain formulas for the left and right eigenvectors and minimal bases of some fami...
Abstract. In this paper we give strong linearizations of a matrix polynomial P (λ) preserving the sk...
We discuss matrix polynomials expressed in a Newton basis, and the associated polynomial eigenvalue...
The standard way of solving the polynomial eigenvalue problem associated with a matrix polynomial is...
We introduce a new family of strong linearizations of matrix polynomials---which we call "block Kron...
In this paper, we obtain formulas for the left and right eigenvectors and minimal bases of some fami...
In this paper, we obtain formulas for the left and right eigenvectors and minimal bases of some fami...
Abstract. In many applications, the polynomial eigenvalue problem, P (λ)x = 0, arises with P (λ) bei...
Fiedler pencils are a family of strong linearizations for polynomials expressed in the monomial basi...
We introduce a new family of strong linearizations of matrix polynomials---which we call "block Kron...
We introduce a new family of strong linearizations of matrix polynomialswhich we call block Kronecke...
Fiedler pencils are a family of strong linearizations for polynomials expressed in the monomial basi...
We introduce a new family of strong linearizations of matrix polynomialswhich we call block Kronecke...
In this paper, we obtain formulas for the left and right eigenvectors and minimal bases of some fami...
In this paper, we obtain formulas for the left and right eigenvectors and minimal bases of some fami...
In this paper, we obtain formulas for the left and right eigenvectors and minimal bases of some fami...
Abstract. In this paper we give strong linearizations of a matrix polynomial P (λ) preserving the sk...
We discuss matrix polynomials expressed in a Newton basis, and the associated polynomial eigenvalue...
The standard way of solving the polynomial eigenvalue problem associated with a matrix polynomial is...
We introduce a new family of strong linearizations of matrix polynomials---which we call "block Kron...
In this paper, we obtain formulas for the left and right eigenvectors and minimal bases of some fami...
In this paper, we obtain formulas for the left and right eigenvectors and minimal bases of some fami...
Abstract. In many applications, the polynomial eigenvalue problem, P (λ)x = 0, arises with P (λ) bei...
Fiedler pencils are a family of strong linearizations for polynomials expressed in the monomial basi...
We introduce a new family of strong linearizations of matrix polynomials---which we call "block Kron...
We introduce a new family of strong linearizations of matrix polynomialswhich we call block Kronecke...
Fiedler pencils are a family of strong linearizations for polynomials expressed in the monomial basi...
We introduce a new family of strong linearizations of matrix polynomialswhich we call block Kronecke...
In this paper, we obtain formulas for the left and right eigenvectors and minimal bases of some fami...
In this paper, we obtain formulas for the left and right eigenvectors and minimal bases of some fami...
In this paper, we obtain formulas for the left and right eigenvectors and minimal bases of some fami...
Abstract. In this paper we give strong linearizations of a matrix polynomial P (λ) preserving the sk...
We discuss matrix polynomials expressed in a Newton basis, and the associated polynomial eigenvalue...