In this paper, we present a brief survey of methods for solving nonlinear least-squares problems. We pay specific attention to methods that take into account the special structure of the problems. Most of the methods discussed belong to the quasi-Newton family (i.e. the structured quasi-Newton methods (SQN)). Our survey comprises some of the traditional and modern developed methods for nonlinear least-squares problems. At the end, we suggest a few topics for further research.9111
The approximate greatest descent (AGD) method and a two-phase AGD method (AGDN) are proposed as new ...
summary:In this contribution, we propose a new hybrid method for minimization of nonlinear least squ...
This paper extends prior work by the authors on solving nonlinear least squares unconstrained proble...
SIGLEAvailable from British Library Document Supply Centre- DSC:D188226 / BLDSC - British Library Do...
An optimization problem that does not have an unique local minimum is often very difficult to solve....
This thesis presents a class of methods for solving nonlinear least squares problems. A comprehensiv...
AbstractPractical quasi-Newton methods for solving nonlinear systems are surveyed. The definition of...
Nonlinear least-squares problems appear in many real-world applications. When a nonlinear model is u...
This paper has two main purposes: To discuss general principles for a reliable and efficient numeric...
In this contribution, we propose a new hybrid method for minimization of nonlinear least squares. Th...
We propose a modification of an algorithm introduced by Martínez (1987) for solving nonlinear least-...
The aim of this paper is to expand the applicability of four iterative methods for solving nonlinear...
. A nonlinear least squares problem is almost rank deficient at a local minimum if there is a large ...
We consider a class of non-linear least squares problems that are widely used in fitting experimenta...
A new numerical method for the least square solutions of nonlinear equation systems has b...
The approximate greatest descent (AGD) method and a two-phase AGD method (AGDN) are proposed as new ...
summary:In this contribution, we propose a new hybrid method for minimization of nonlinear least squ...
This paper extends prior work by the authors on solving nonlinear least squares unconstrained proble...
SIGLEAvailable from British Library Document Supply Centre- DSC:D188226 / BLDSC - British Library Do...
An optimization problem that does not have an unique local minimum is often very difficult to solve....
This thesis presents a class of methods for solving nonlinear least squares problems. A comprehensiv...
AbstractPractical quasi-Newton methods for solving nonlinear systems are surveyed. The definition of...
Nonlinear least-squares problems appear in many real-world applications. When a nonlinear model is u...
This paper has two main purposes: To discuss general principles for a reliable and efficient numeric...
In this contribution, we propose a new hybrid method for minimization of nonlinear least squares. Th...
We propose a modification of an algorithm introduced by Martínez (1987) for solving nonlinear least-...
The aim of this paper is to expand the applicability of four iterative methods for solving nonlinear...
. A nonlinear least squares problem is almost rank deficient at a local minimum if there is a large ...
We consider a class of non-linear least squares problems that are widely used in fitting experimenta...
A new numerical method for the least square solutions of nonlinear equation systems has b...
The approximate greatest descent (AGD) method and a two-phase AGD method (AGDN) are proposed as new ...
summary:In this contribution, we propose a new hybrid method for minimization of nonlinear least squ...
This paper extends prior work by the authors on solving nonlinear least squares unconstrained proble...