We already generalized the Rutishauser-Gragg-Harrod-Reichel algorithm for discrete least-squares polynomial approximation on the real axis to the rational case. In this paper, a new method for discrete least-squares linearized rational approximation on the unit circle is presented. It generalizes the algorithm of Reichel-Ammar-Gragg for discrete least-squares polynomial approximation on the unit circle to the rational case. The algorithm is fast in the sense that it requires order ma computation time where m is the number of data points and a is the degree of the approximant. We describe how this algorithm can be implemented in parallel. Examples illustrate the numerical behavior of the algorithm.status: publishe
One form of the identification problem can ge formulated as follows: Given the input U(z) and the ou...
We consider a family of algorithms for approximate implicitization of rational parametric curves and...
We consider a class of non-linear least squares problems that are widely used in fitting experimenta...
A new method for discrete least squares linearized rational approximation is presented. It generaliz...
A new method for discrete least squares linearized rational approximation is presented. It generaliz...
We describe an algorithm for complex discrete least squares approximation, which turns out to be ver...
We give a solution of a discrete least squares approximation problem in terms of orthogonal polynomi...
Abstract. Fast, ecient and reliable algorithms for discrete least-squares approximation of a real-va...
We consider a problem that arises in the field of frequency domain system identification. If a discr...
An efficient and robust algorithm and a Matlab code ratdisk are presented for rational interpolation...
An efficient and robust algorithm and aMatlab code ratdisk are presented for rational interpolation ...
AbstractMany algorithms for polynomial least-squares approximation of a real-valuedfunction on a rea...
The RKFIT algorithm outlined in [M. Berljafa and S. Guettel, Generalized rational Krylov decompositi...
This thesis presents new numerical algorithms for approximating functions by trigonometric polynomia...
Abstract. We consider a class of non-linear least squares problems that are widely used in fitting e...
One form of the identification problem can ge formulated as follows: Given the input U(z) and the ou...
We consider a family of algorithms for approximate implicitization of rational parametric curves and...
We consider a class of non-linear least squares problems that are widely used in fitting experimenta...
A new method for discrete least squares linearized rational approximation is presented. It generaliz...
A new method for discrete least squares linearized rational approximation is presented. It generaliz...
We describe an algorithm for complex discrete least squares approximation, which turns out to be ver...
We give a solution of a discrete least squares approximation problem in terms of orthogonal polynomi...
Abstract. Fast, ecient and reliable algorithms for discrete least-squares approximation of a real-va...
We consider a problem that arises in the field of frequency domain system identification. If a discr...
An efficient and robust algorithm and a Matlab code ratdisk are presented for rational interpolation...
An efficient and robust algorithm and aMatlab code ratdisk are presented for rational interpolation ...
AbstractMany algorithms for polynomial least-squares approximation of a real-valuedfunction on a rea...
The RKFIT algorithm outlined in [M. Berljafa and S. Guettel, Generalized rational Krylov decompositi...
This thesis presents new numerical algorithms for approximating functions by trigonometric polynomia...
Abstract. We consider a class of non-linear least squares problems that are widely used in fitting e...
One form of the identification problem can ge formulated as follows: Given the input U(z) and the ou...
We consider a family of algorithms for approximate implicitization of rational parametric curves and...
We consider a class of non-linear least squares problems that are widely used in fitting experimenta...