We present a novel iterative algorithm for approximating the linear least squares solution with low complexity. After a motiva-tion of the algorithm we discuss the algorithm’s properties including its complexity, and we present theoretical results as well as simulation based performance results. We describe the analysis of its convergence behavior and show that in the noise free case the algorithm converges to the least squares solution. Index Terms — least squares, approximation, iterative algorithm, complexity. 1
International audienceIn this paper, we are interested in computing the solution of an overdetermine...
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...
The aim of this paper is to expand the applicability of four iterative methods for solving nonlinear...
We study randomized sketching methods for approximately solving least-squares prob-lem with a genera...
AbstractThree new iterative methods for the solution of the linear least squares problem with bound ...
Abstract. An iterative method LSMR is presented for solving linear systems Ax = b and least-squares ...
We describe an algorithm for complex discrete least squares approximation, which turns out to be ver...
AbstractLinear Least Squares (LLS) problems are particularly difficult to solve because they are fre...
One of the most popular algorithms for solving minimax approximation problems is the Barrodale and P...
This paper presents a new iterative solver for least-squares problems, which is developed based on t...
We review the development and extensions of the classical total least squares method and describe al...
We review the development and extensions of the classical total least squares method and describe al...
[[abstract]]© 1995 Institute of Electrical and Electronics Engineers - The conventional delayed leas...
AbstractThis article is concerned with the approximation problem of fitting n data points by a quasi...
International audienceIn this paper, we are interested in computing the solution of an overdetermine...
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...
The aim of this paper is to expand the applicability of four iterative methods for solving nonlinear...
We study randomized sketching methods for approximately solving least-squares prob-lem with a genera...
AbstractThree new iterative methods for the solution of the linear least squares problem with bound ...
Abstract. An iterative method LSMR is presented for solving linear systems Ax = b and least-squares ...
We describe an algorithm for complex discrete least squares approximation, which turns out to be ver...
AbstractLinear Least Squares (LLS) problems are particularly difficult to solve because they are fre...
One of the most popular algorithms for solving minimax approximation problems is the Barrodale and P...
This paper presents a new iterative solver for least-squares problems, which is developed based on t...
We review the development and extensions of the classical total least squares method and describe al...
We review the development and extensions of the classical total least squares method and describe al...
[[abstract]]© 1995 Institute of Electrical and Electronics Engineers - The conventional delayed leas...
AbstractThis article is concerned with the approximation problem of fitting n data points by a quasi...
International audienceIn this paper, we are interested in computing the solution of an overdetermine...
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...