Add to ORKGAbstract. Palindromic polynomial eigenvalue problems and related classes of structured eigenvalue problems are considered. These structures generalize the concepts of symplectic and Hamiltonian matrices to matrix polynomials. We discuss several applications where these matrix polynomials arise, and show how linearizations can be derived that re ect the structure of all these structured matrix polynomials and therefore preserve symmetries in the spectrum
AbstractWe discuss the eigenvalue problem for general and structured matrix polynomials which may be...
The standard way to solve polynomial eigenvalue problems $P(\la)x=0$ is to convert the matrix polyno...
AbstractThe standard way to solve polynomial eigenvalue problems P(λ)x=0 is to convert the matrix po...
Palindromic polynomial eigenvalue problems and related classes of structured eigenvalue problems are...
Many applications give rise to nonlinear eigenvalue problems with an underlying structured matrix po...
Many applications give rise to nonlinear eigenvalue problems with an underlying structured matrix po...
Abstract. Many applications give rise to nonlinear eigenvalue problems with an underlying structured...
Abstract. Many applications give rise to nonlinear eigenvalue problems with an underlying structured...
Abstract. Many applications give rise to nonlinear eigenvalue problems with an underlying structured...
AbstractThis work is concerned with eigenvalue problems for structured matrix polynomials, including...
The classical approach to investigating polynomial eigenvalue problems is linearization, where the u...
The classical approach to investigating polynomial eigenvalue problems is linearization, where the u...
Matrix polynomial eigenproblems arise in many application areas, both directly and as approximations...
The standard way to solve polynomial eigenvalue problems $P(\la)x=0$ is to convert the matrix polyno...
We present structure-preserving numerical methods for the eigenvalue problem of complex palindromic ...
AbstractWe discuss the eigenvalue problem for general and structured matrix polynomials which may be...
The standard way to solve polynomial eigenvalue problems $P(\la)x=0$ is to convert the matrix polyno...
AbstractThe standard way to solve polynomial eigenvalue problems P(λ)x=0 is to convert the matrix po...
Palindromic polynomial eigenvalue problems and related classes of structured eigenvalue problems are...
Many applications give rise to nonlinear eigenvalue problems with an underlying structured matrix po...
Many applications give rise to nonlinear eigenvalue problems with an underlying structured matrix po...
Abstract. Many applications give rise to nonlinear eigenvalue problems with an underlying structured...
Abstract. Many applications give rise to nonlinear eigenvalue problems with an underlying structured...
Abstract. Many applications give rise to nonlinear eigenvalue problems with an underlying structured...
AbstractThis work is concerned with eigenvalue problems for structured matrix polynomials, including...
The classical approach to investigating polynomial eigenvalue problems is linearization, where the u...
The classical approach to investigating polynomial eigenvalue problems is linearization, where the u...
Matrix polynomial eigenproblems arise in many application areas, both directly and as approximations...
The standard way to solve polynomial eigenvalue problems $P(\la)x=0$ is to convert the matrix polyno...
We present structure-preserving numerical methods for the eigenvalue problem of complex palindromic ...
AbstractWe discuss the eigenvalue problem for general and structured matrix polynomials which may be...
The standard way to solve polynomial eigenvalue problems $P(\la)x=0$ is to convert the matrix polyno...
AbstractThe standard way to solve polynomial eigenvalue problems P(λ)x=0 is to convert the matrix po...