International audienceIn this paper we address the stable numerical solution of nonlinear ill-posed systems by a trust-region method. We show that an appropriate choice of the trust-region radius gives rise to a procedure that has the potential to approach a solution of the unperturbed system. This regularizing property is shown theoretically and validated numerically
AbstractA new regularized projection method was developed for numerically solving ill-posed equation...
The aim of this text is to highlight recent advances of trust-region-based methods for nonlinear pro...
In this paper, we present a new trust region method for unconstrained nonlinear programming in which...
International audienceIn this paper we address the stable numerical solution of nonlinear ill-posed ...
In this paper, two new trust-region algorithms for the numerical solution of systems of nonlinear eq...
We consider the solution of large-scale least squares problems where the coefficient matrix comes fr...
In this paper, we consider the problem of solving nonlinear equations F (x) = 0, where F (x) from ! ...
The advent of the computer had forced the application of mathematics to all branches of human endeav...
In this paper, a trust-region algorithm is proposed for large-scale nonlinear equations, where the l...
A Large--Scale Trust--Region Approach to the Regularization of Discrete Ill--Posed Problems by Marie...
summary:Trust region methods are a class of effective iterative schemes in numerical optimization. I...
The solution of trust-region and regularisation subproblems which arise in unconstrained optimizatio...
The trust-region subproblem of minimizing a quadratic function subject to a norm constraint arises i...
The trust-region subproblem of minimizing a quadratic function subject to a norm constraint arises i...
The trust-region subproblem of minimizing a quadratic function subject to a norm constraint arises i...
AbstractA new regularized projection method was developed for numerically solving ill-posed equation...
The aim of this text is to highlight recent advances of trust-region-based methods for nonlinear pro...
In this paper, we present a new trust region method for unconstrained nonlinear programming in which...
International audienceIn this paper we address the stable numerical solution of nonlinear ill-posed ...
In this paper, two new trust-region algorithms for the numerical solution of systems of nonlinear eq...
We consider the solution of large-scale least squares problems where the coefficient matrix comes fr...
In this paper, we consider the problem of solving nonlinear equations F (x) = 0, where F (x) from ! ...
The advent of the computer had forced the application of mathematics to all branches of human endeav...
In this paper, a trust-region algorithm is proposed for large-scale nonlinear equations, where the l...
A Large--Scale Trust--Region Approach to the Regularization of Discrete Ill--Posed Problems by Marie...
summary:Trust region methods are a class of effective iterative schemes in numerical optimization. I...
The solution of trust-region and regularisation subproblems which arise in unconstrained optimizatio...
The trust-region subproblem of minimizing a quadratic function subject to a norm constraint arises i...
The trust-region subproblem of minimizing a quadratic function subject to a norm constraint arises i...
The trust-region subproblem of minimizing a quadratic function subject to a norm constraint arises i...
AbstractA new regularized projection method was developed for numerically solving ill-posed equation...
The aim of this text is to highlight recent advances of trust-region-based methods for nonlinear pro...
In this paper, we present a new trust region method for unconstrained nonlinear programming in which...