Add to ORKGOptimization problems with different levels arise by discretization of ordinary and partial differential equations. We present a trust-region based derivative-free multilevel optimization algorithm. The performance of the algorithm is shown on a shape optimization problem and global convergence to the first order critical point is proved.Publisher's Versio
In this paper we study the minimization of a nonsmooth black-box type function, without assuming any...
We present trust-region methods for the general unconstrained minimization problem. Trust-region alg...
This thesis concerns the development and analysis of derivative-free optimization algorithms for sim...
Optimization problems with different levels arise by discretization of ordinary and partial differen...
Derivative free optimization algorithms are implementations of trust region based derivative-free me...
We present new developments in the context of multilevel trust-region methods for nonlinear optimiza...
The field of scientific computing is associated with the modeling of complex physical phenomena. The...
A general trust region strategy is proposed for solving nonlinear systems of equations and equality ...
In this survey article we give the basic description of the interpolation based derivative free opti...
Derivative-free optimization involves the methods used to minimize an expensive objective functionwh...
L'optimisation sans dérivées est un outil populaire pour résoudre des problèmes complexes dans lesqu...
Derivative free-optimization is a popular tool for addressing complex problems in which the analytic...
Derivative free-optimization is a popular tool for addressing complex problems in which the analytic...
A novel derivative-free algorithm, called optimization by moving ridge functions (OMoRF), for uncons...
A general family of trust region algorithms for nonsmooth optimization is considered. Conditions for...
In this paper we study the minimization of a nonsmooth black-box type function, without assuming any...
We present trust-region methods for the general unconstrained minimization problem. Trust-region alg...
This thesis concerns the development and analysis of derivative-free optimization algorithms for sim...
Optimization problems with different levels arise by discretization of ordinary and partial differen...
Derivative free optimization algorithms are implementations of trust region based derivative-free me...
We present new developments in the context of multilevel trust-region methods for nonlinear optimiza...
The field of scientific computing is associated with the modeling of complex physical phenomena. The...
A general trust region strategy is proposed for solving nonlinear systems of equations and equality ...
In this survey article we give the basic description of the interpolation based derivative free opti...
Derivative-free optimization involves the methods used to minimize an expensive objective functionwh...
L'optimisation sans dérivées est un outil populaire pour résoudre des problèmes complexes dans lesqu...
Derivative free-optimization is a popular tool for addressing complex problems in which the analytic...
Derivative free-optimization is a popular tool for addressing complex problems in which the analytic...
A novel derivative-free algorithm, called optimization by moving ridge functions (OMoRF), for uncons...
A general family of trust region algorithms for nonsmooth optimization is considered. Conditions for...
In this paper we study the minimization of a nonsmooth black-box type function, without assuming any...
We present trust-region methods for the general unconstrained minimization problem. Trust-region alg...
This thesis concerns the development and analysis of derivative-free optimization algorithms for sim...