AbstractA convergence theorem for J. W. Lee and P. M. Prenter's filtered least squares method for solving the Fredholm first kind equation Kf = g is corrected. Under suitable restrictions the filtered least squares method is shown to be well posed under compact perturbations in K and arbitrary perturbations in g
The purpose of this note is to extend the results by Joab Winkler [Proc. of the fifth SIAM conferen...
AbstractBased on the projection theorem in Hilbert space, by making use of the generalized singular ...
When a physical system is modeled by a nonlinear function, the unknown parameters can be estimated b...
AbstractA convergence theorem for J. W. Lee and P. M. Prenter's filtered least squares method for so...
A convergence theorem for Lee and Prenter\u27s filtered leastsquares method for solving the Fredholm...
Abstract. We consider a general projection method for approximating the minimal norm least squares s...
In this paper, we will derive the condensed Cramer’s rule of Werner for minimal-norm least-squares s...
AbstractIn this paper, we will derive the condensed Cramer’s rule of Werner for minimal-norm least-s...
Abstract. In [4] the authors proposed a collocation algorithm for approximating the minimal norm lea...
. This paper develops a least-squares functional that arises from recasting general second-order uni...
AbstractLeast-squares solutions of Fredholm and Volterra equations of the first and second kinds are...
AbstractLeast-squares solutions of Fredholm and Volterra equations of the first and second kinds are...
Nonlinear least-squares problems appear in many real-world applications. When a nonlinear model is u...
Abstract. This paper deals with the problem of finding the minimum norm least-squares solution of a ...
In two papers, we develop theory and methods for regularization of nonlinear least squares problems ...
The purpose of this note is to extend the results by Joab Winkler [Proc. of the fifth SIAM conferen...
AbstractBased on the projection theorem in Hilbert space, by making use of the generalized singular ...
When a physical system is modeled by a nonlinear function, the unknown parameters can be estimated b...
AbstractA convergence theorem for J. W. Lee and P. M. Prenter's filtered least squares method for so...
A convergence theorem for Lee and Prenter\u27s filtered leastsquares method for solving the Fredholm...
Abstract. We consider a general projection method for approximating the minimal norm least squares s...
In this paper, we will derive the condensed Cramer’s rule of Werner for minimal-norm least-squares s...
AbstractIn this paper, we will derive the condensed Cramer’s rule of Werner for minimal-norm least-s...
Abstract. In [4] the authors proposed a collocation algorithm for approximating the minimal norm lea...
. This paper develops a least-squares functional that arises from recasting general second-order uni...
AbstractLeast-squares solutions of Fredholm and Volterra equations of the first and second kinds are...
AbstractLeast-squares solutions of Fredholm and Volterra equations of the first and second kinds are...
Nonlinear least-squares problems appear in many real-world applications. When a nonlinear model is u...
Abstract. This paper deals with the problem of finding the minimum norm least-squares solution of a ...
In two papers, we develop theory and methods for regularization of nonlinear least squares problems ...
The purpose of this note is to extend the results by Joab Winkler [Proc. of the fifth SIAM conferen...
AbstractBased on the projection theorem in Hilbert space, by making use of the generalized singular ...
When a physical system is modeled by a nonlinear function, the unknown parameters can be estimated b...
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