Add to ORKGThe Rational Krylov Toolbox contains MATLAB implementations of Ruhe's rational Krylov sequence method, algorithms for the implicit and explicit relocation of the poles of a rational Krylov space, and an implementation of RKFIT, a robust algorithm for rational least squares fitting
Rational Krylov is an extension of the Lanczos or Arnoldi eigenvalue algorithm where several shifts ...
Rational Krylov subspaces have been proven to be useful for many applications, like the approximatio...
We consider the vector f (A)b, where É A is a large N-by-N matrix, É b is a vector of length N, É f ...
The Rational Krylov Toolbox contains MATLAB implementations of Ruhe's rational Krylov sequence metho...
The RKFIT algorithm outlined in [M. Berljafa and S. Guettel, Generalized rational Krylov decompositi...
Generalized rational Krylov decompositions are matrix relations which, under certain conditions, are...
Numerical methods based on rational Krylov spaces have become an indispensable tool of scientific co...
<p>A MATLAB implementation of the tangential IRKA as the example for the best practice paper.</p> <...
We present a unified and self-contained treatment of rational Krylov methods for approximating the p...
Rational Krylov sequences were introduced over 30 years ago by Ruhe (1984) and have been an active s...
Matrix functions are a central topic of linear algebra, and problems of their numerical approximatio...
Rational Krylov is an extension of the Lanczos or Arnoldi eigenvalue algorithm where several shifts ...
Rational Krylov subspaces have been proven to be useful for many applications, like the approximatio...
We consider the vector f (A)b, where É A is a large N-by-N matrix, É b is a vector of length N, É f ...
The Rational Krylov Toolbox contains MATLAB implementations of Ruhe's rational Krylov sequence metho...
The RKFIT algorithm outlined in [M. Berljafa and S. Guettel, Generalized rational Krylov decompositi...
Generalized rational Krylov decompositions are matrix relations which, under certain conditions, are...
Numerical methods based on rational Krylov spaces have become an indispensable tool of scientific co...
<p>A MATLAB implementation of the tangential IRKA as the example for the best practice paper.</p> <...
We present a unified and self-contained treatment of rational Krylov methods for approximating the p...
Rational Krylov sequences were introduced over 30 years ago by Ruhe (1984) and have been an active s...
Matrix functions are a central topic of linear algebra, and problems of their numerical approximatio...
Rational Krylov is an extension of the Lanczos or Arnoldi eigenvalue algorithm where several shifts ...
Rational Krylov subspaces have been proven to be useful for many applications, like the approximatio...
We consider the vector f (A)b, where É A is a large N-by-N matrix, É b is a vector of length N, É f ...