Abstract. The Matlab implementation of a trust-region Gauss-Newton method for bound-constrained nonlinear least-squares problems is presented. The solver, called TRESNEI, is adequate for zero and small-residual problems and handles the solution of nonlinear systems of equalities and inequalities. The structure and the usage of the solver are described and an extensive numerical comparison with functions from the Matlab Optimization Toolbox is carried out. Key words. Bound-constrained nonlinear least-squares; nonlinear systems; nonlinear systems of inequalities; simple bounds; trust-region methods; algorithm design
AbstractIn this paper, we propose a new affine scaling trust-region algorithm in association with no...
We review the main techniques used in trust region algorithms for nonlinear constrained optimization...
We want to present a new interpolation-based trust-region algorithm which can handle nonlinear and n...
The Matlab implementation of a trust-region Gauss-Newton method for bound-constrained nonlinear leas...
In this paper, two new trust-region algorithms for the numerical solution of systems of nonlinear eq...
We introduce an inexact Gauss–Newton trust-region method for solving bound-constrained nonlinear lea...
Two trust-region methods for systems of mixed nonlinear equalities, general inequalities and simple ...
Trust-region quadratic methods for bound-constrained nonlinear least-squares and nonlinear feasibili...
This work was also published as a Rice University thesis/dissertation: http://hdl.handle.net/1911/16...
This paper develops and tests a trust region algorithm for the nonlinear equality constrained optimi...
AbstractThis paper presents a new method with trust region technique for solving the nonlinear least...
An iterative method for solving bound-constrained underdetermined nonlinear systems is presented. Th...
. In this work we define a trust-region feasible-point algorithm for approximating solutions of the ...
In this paper, we consider the problem of solving nonlinear equations F (x) = 0, where F (x) from ! ...
The minimization of a quadratic function within an ellipsoidal trust region is an important subprobl...
AbstractIn this paper, we propose a new affine scaling trust-region algorithm in association with no...
We review the main techniques used in trust region algorithms for nonlinear constrained optimization...
We want to present a new interpolation-based trust-region algorithm which can handle nonlinear and n...
The Matlab implementation of a trust-region Gauss-Newton method for bound-constrained nonlinear leas...
In this paper, two new trust-region algorithms for the numerical solution of systems of nonlinear eq...
We introduce an inexact Gauss–Newton trust-region method for solving bound-constrained nonlinear lea...
Two trust-region methods for systems of mixed nonlinear equalities, general inequalities and simple ...
Trust-region quadratic methods for bound-constrained nonlinear least-squares and nonlinear feasibili...
This work was also published as a Rice University thesis/dissertation: http://hdl.handle.net/1911/16...
This paper develops and tests a trust region algorithm for the nonlinear equality constrained optimi...
AbstractThis paper presents a new method with trust region technique for solving the nonlinear least...
An iterative method for solving bound-constrained underdetermined nonlinear systems is presented. Th...
. In this work we define a trust-region feasible-point algorithm for approximating solutions of the ...
In this paper, we consider the problem of solving nonlinear equations F (x) = 0, where F (x) from ! ...
The minimization of a quadratic function within an ellipsoidal trust region is an important subprobl...
AbstractIn this paper, we propose a new affine scaling trust-region algorithm in association with no...
We review the main techniques used in trust region algorithms for nonlinear constrained optimization...
We want to present a new interpolation-based trust-region algorithm which can handle nonlinear and n...