The projection methods, usually viewed as the methods for computing eigenvalues, can also be used to estimate pseudospectra. This paper proposes a kind of projection methods for computing the pseudospectra of large scale matrices, including orthogonalization projection method and oblique projection method respectively. This possibility may be of practical importance in applications involving large scale highly nonnormal matrices. Numerical algorithms are given and some numerical experiments illustrate the efficiency of the new algorithms
In many applications it is important to sensitivity of eigenvalues of a matrix polynomial polynomial...
We present an algorithm to compute the pseudospectral abscissa for a nonlinear eigenvalue problem. T...
We present an algorithm to compute the pseudospectral abscissa for a nonlinear eigenvalue problem. T...
The pseudospectra is a powerful tool to study the behavior of dynamic systems associated to non-norm...
AbstractIn this note, we discuss new techniques for analyzing the pseudospectra of matrices and prop...
The pseudospectra, a tool to study the behavior of systems associated with nonnormal matrices has be...
AbstractIn this note, we discuss new techniques for analyzing the pseudospectra of matrices and prop...
The concept of pseudospectrum was introduced by L. N. Trefethen to explain the behavior of nonnormal...
The field of values and pseudospectra are useful tools for understanding the behaviour of various ma...
We present an algorithm to compute the pseudospectral abscissa for a nonlinear eigenvalue problem. T...
The advent of ever more powerful computers has brought with it a new way of conceiving some of the f...
El pseudoespectro es una gran herramienta para el estudio de sistemas dinámicos asociados a matrices...
El pseudoespectro es una gran herramienta para el estudio de sistemas dinámicos asociados a matrices...
ARPACK and its MATLAB counterpart, eigs, are software packages that calculate some eigenvalues of a ...
For studying spectral properties of a nonnormal matrix A is an element of Cnxn, information about it...
In many applications it is important to sensitivity of eigenvalues of a matrix polynomial polynomial...
We present an algorithm to compute the pseudospectral abscissa for a nonlinear eigenvalue problem. T...
We present an algorithm to compute the pseudospectral abscissa for a nonlinear eigenvalue problem. T...
The pseudospectra is a powerful tool to study the behavior of dynamic systems associated to non-norm...
AbstractIn this note, we discuss new techniques for analyzing the pseudospectra of matrices and prop...
The pseudospectra, a tool to study the behavior of systems associated with nonnormal matrices has be...
AbstractIn this note, we discuss new techniques for analyzing the pseudospectra of matrices and prop...
The concept of pseudospectrum was introduced by L. N. Trefethen to explain the behavior of nonnormal...
The field of values and pseudospectra are useful tools for understanding the behaviour of various ma...
We present an algorithm to compute the pseudospectral abscissa for a nonlinear eigenvalue problem. T...
The advent of ever more powerful computers has brought with it a new way of conceiving some of the f...
El pseudoespectro es una gran herramienta para el estudio de sistemas dinámicos asociados a matrices...
El pseudoespectro es una gran herramienta para el estudio de sistemas dinámicos asociados a matrices...
ARPACK and its MATLAB counterpart, eigs, are software packages that calculate some eigenvalues of a ...
For studying spectral properties of a nonnormal matrix A is an element of Cnxn, information about it...
In many applications it is important to sensitivity of eigenvalues of a matrix polynomial polynomial...
We present an algorithm to compute the pseudospectral abscissa for a nonlinear eigenvalue problem. T...
We present an algorithm to compute the pseudospectral abscissa for a nonlinear eigenvalue problem. T...