We propose a derivative-free trust region algorithm with a nonmonotone filter technique for bound constrained optimization. The derivative-free strategy is applied for special minimization functions in which derivatives are not all available. A nonmonotone filter technique ensures not only the trust region feature but also the global convergence under reasonable assumptions. Numerical experiments demonstrate that the new algorithm is effective for bound constrained optimization. Locally, optimal parameters with respect to overall computational time on a set of test problems are identified. The performance of the best choice of parameter values obtained by the algorithm we presented which differs from traditionally used values indicates that...
An algorithm for solving the problem of minimizing a non-linear function subject to equality constra...
AbstractIn this paper, we combine the new trust region subproblem proposed in [1] with the nonmonoto...
We want to present a new interpolation-based trust-region algorithm which can handle nonlinear and n...
AbstractIn this paper, we present a nonmonotone trust-region algorithm with nonmonotone penalty para...
This work is concerned with the theoretical study and the implementation of algorithms for solving t...
AbstractIn this paper, we present a nonmonotone filter trust region algorithm for solving nonlinear ...
Abstract. We propose and analyze a class of penalty-function-free nonmonotone trust-region methods f...
Abstract This paper focuses on a class of nonlinear optimization subject to linear inequality constr...
In this paper, we propose a nonmonotone trust region method for bound constrained optimization probl...
We introduce a trust region algorithm for minimization of nonsmooth functions with linear constraint...
We introduce a trust region algorithm for minimization of nonsmooth functions with linear constraint...
We introduce a trust region algorithm for minimization of nonsmooth functions with linear constraint...
In this article we present an algorithm for solving bound constrained optimization problems without ...
AbstractThis paper concerns a nonmonotone line search technique and its application to the trust reg...
We want to propose a new trust-region model-based algorithm for solving nonlinear generally constrai...
An algorithm for solving the problem of minimizing a non-linear function subject to equality constra...
AbstractIn this paper, we combine the new trust region subproblem proposed in [1] with the nonmonoto...
We want to present a new interpolation-based trust-region algorithm which can handle nonlinear and n...
AbstractIn this paper, we present a nonmonotone trust-region algorithm with nonmonotone penalty para...
This work is concerned with the theoretical study and the implementation of algorithms for solving t...
AbstractIn this paper, we present a nonmonotone filter trust region algorithm for solving nonlinear ...
Abstract. We propose and analyze a class of penalty-function-free nonmonotone trust-region methods f...
Abstract This paper focuses on a class of nonlinear optimization subject to linear inequality constr...
In this paper, we propose a nonmonotone trust region method for bound constrained optimization probl...
We introduce a trust region algorithm for minimization of nonsmooth functions with linear constraint...
We introduce a trust region algorithm for minimization of nonsmooth functions with linear constraint...
We introduce a trust region algorithm for minimization of nonsmooth functions with linear constraint...
In this article we present an algorithm for solving bound constrained optimization problems without ...
AbstractThis paper concerns a nonmonotone line search technique and its application to the trust reg...
We want to propose a new trust-region model-based algorithm for solving nonlinear generally constrai...
An algorithm for solving the problem of minimizing a non-linear function subject to equality constra...
AbstractIn this paper, we combine the new trust region subproblem proposed in [1] with the nonmonoto...
We want to present a new interpolation-based trust-region algorithm which can handle nonlinear and n...