In this paper, we consider methods for finding a local solution, $x^{*} $ say, to a nonlinear least squares problem (1) minimize $f(x) = \frac{1}{2}\sum_{j=1}^{m}(r_{j}(x))^{2} $, where $r_{j} $ : $R^{n}arrow R, $ $j=1, $ $\ldots, $ $m(m\geq n) $ are twice continuously differentiable. Such problem
Recently, we have presented a projected structured algorithm for solving constrained nonlinear least...
The study of efficient iterative algorithms for addressing nonlinear least-squares (NLS) problems is...
Consider the separable nonlinear least squares problem of finding ~a in R^n and ~alpha in R^k which,...
In this paper, we present a brief survey of methods for solving nonlinear least-squares problems. We...
Abstract We are concerned with nonlinear least squares problems. It is known that structured quasi-N...
The aim of the paper is to present a new global optimization method for determining all the optima ...
Abstract This paper is concerned with local and q-superlinear convergence of structured quasi-Newton...
AbstractGiven the data (xi, yi), i=1, 2, …, n, the problem is to find the values of the linear and n...
We propose a modification of an algorithm introduced by Martínez (1987) for solving nonlinear least-...
The effectiveness of the inversion of a mapping phi defined on a set C by nonlinear least-squares te...
An optimization problem that does not have an unique local minimum is often very difficult to solve....
. A nonlinear least squares problem is almost rank deficient at a local minimum if there is a large ...
This thesis introduces a globalization strategy for approximating global minima of zero-residual lea...
. For discrete nonlinear least-squares approximation problems P m j=1 f 2 j (x) ! min for m smo...
This contribution contains a description and analysis of effective methods for minimization of the n...
Recently, we have presented a projected structured algorithm for solving constrained nonlinear least...
The study of efficient iterative algorithms for addressing nonlinear least-squares (NLS) problems is...
Consider the separable nonlinear least squares problem of finding ~a in R^n and ~alpha in R^k which,...
In this paper, we present a brief survey of methods for solving nonlinear least-squares problems. We...
Abstract We are concerned with nonlinear least squares problems. It is known that structured quasi-N...
The aim of the paper is to present a new global optimization method for determining all the optima ...
Abstract This paper is concerned with local and q-superlinear convergence of structured quasi-Newton...
AbstractGiven the data (xi, yi), i=1, 2, …, n, the problem is to find the values of the linear and n...
We propose a modification of an algorithm introduced by Martínez (1987) for solving nonlinear least-...
The effectiveness of the inversion of a mapping phi defined on a set C by nonlinear least-squares te...
An optimization problem that does not have an unique local minimum is often very difficult to solve....
. A nonlinear least squares problem is almost rank deficient at a local minimum if there is a large ...
This thesis introduces a globalization strategy for approximating global minima of zero-residual lea...
. For discrete nonlinear least-squares approximation problems P m j=1 f 2 j (x) ! min for m smo...
This contribution contains a description and analysis of effective methods for minimization of the n...
Recently, we have presented a projected structured algorithm for solving constrained nonlinear least...
The study of efficient iterative algorithms for addressing nonlinear least-squares (NLS) problems is...
Consider the separable nonlinear least squares problem of finding ~a in R^n and ~alpha in R^k which,...