This Matlab software is intended to minimize the pseudospectral abscissa of a matrix-valued function of large size dependent on parameters smoothly. It restricts the large matrix-valued function to small subspaces, and minimizes the pseudospectral abscissa of the resulting small matrix-valued functions. The algorithm is based on the solution of a sequence of such small problems. The subspaces are expanded gradually
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...
For studying spectral properties of a nonnormal matrix A is an element of Cnxn, information about it...
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...
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...
The pseudospectral abscissa and the stability radius are well-established tools for quantifying the ...
We present a new iterative algorithm to compute the pseudospectral abscissa for a class of nonlinear...
© 2018 Societ y for Industrial and Applied Mathematics. We consider the minimization or maximization...
Abstract. The H ∞ norm of a transfer matrix function for a control system is the reciprocal of the l...
The pseudospectra, a tool to study the behavior of systems associated with nonnormal matrices has be...
The projection methods, usually viewed as the methods for computing eigenvalues, can also be used to...
We consider a problem in eigenvalue optimization, in particular finding a local minimizer of the spe...
Abstract. One of the most expensive problems in numerical linear algebra is the computation of the -...
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...
For studying spectral properties of a nonnormal matrix A is an element of Cnxn, information about it...
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...
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...
The pseudospectral abscissa and the stability radius are well-established tools for quantifying the ...
We present a new iterative algorithm to compute the pseudospectral abscissa for a class of nonlinear...
© 2018 Societ y for Industrial and Applied Mathematics. We consider the minimization or maximization...
Abstract. The H ∞ norm of a transfer matrix function for a control system is the reciprocal of the l...
The pseudospectra, a tool to study the behavior of systems associated with nonnormal matrices has be...
The projection methods, usually viewed as the methods for computing eigenvalues, can also be used to...
We consider a problem in eigenvalue optimization, in particular finding a local minimizer of the spe...
Abstract. One of the most expensive problems in numerical linear algebra is the computation of the -...
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...
For studying spectral properties of a nonnormal matrix A is an element of Cnxn, information about it...