This is the publisher's version, also available electronically from http://epubs.siam.org/doi/abs/10.1137/0324068.We prove that if a second order sufficient condition and a constraint regularity assumption hold, then for sufficiently small perturbations of the constraints and the objective function, the set of local minimizers reduces to a singleton. Moreover, the minimizes and the associated multipliers are Lipschitzian functions of the parameter
Our paper deals with the interrelation of optimization methods and Lipschitz stability of multifunct...
AbstractThe Kuhn–Tucker type necessary optimality conditions are given for the problem of minimizing...
AbstractThe Kuhn–Tucker type necessary optimality conditions are given for the problem of minimizing...
This is the publisher's version, also available electronically from http://epubs.siam.org/doi/abs/10...
AbstractCertain stability concepts for local minimizers of nonlinear programs require, on the one ha...
Abstract. This paper is mainly devoted to the study of the so-called full Lipschitzian stability of ...
AbstractCertain stability concepts for local minimizers of nonlinear programs require, on the one ha...
The present paper is concerned with optimization problems in which the data are differentiable funct...
The stationary solution map $X$ of a canonically perturbed nonlinear program or variational conditio...
summary:In the paper, some sufficient optimality conditions for strict minima of order $m$ in constr...
The stationary solution map $X$ of a canonically perturbed nonlinear program or variational conditio...
Abstract. This paper is mainly devoted to the study of the so-called full Lipschitzian stability of ...
Abstract. The objective function of any solvable linear program can be perturbed by a differentiable...
Our paper deals with the interrelation of optimization methods and Lipschitz stability of multifunct...
Our paper deals with the interrelation of optimization methods and Lipschitz stability of multifunct...
Our paper deals with the interrelation of optimization methods and Lipschitz stability of multifunct...
AbstractThe Kuhn–Tucker type necessary optimality conditions are given for the problem of minimizing...
AbstractThe Kuhn–Tucker type necessary optimality conditions are given for the problem of minimizing...
This is the publisher's version, also available electronically from http://epubs.siam.org/doi/abs/10...
AbstractCertain stability concepts for local minimizers of nonlinear programs require, on the one ha...
Abstract. This paper is mainly devoted to the study of the so-called full Lipschitzian stability of ...
AbstractCertain stability concepts for local minimizers of nonlinear programs require, on the one ha...
The present paper is concerned with optimization problems in which the data are differentiable funct...
The stationary solution map $X$ of a canonically perturbed nonlinear program or variational conditio...
summary:In the paper, some sufficient optimality conditions for strict minima of order $m$ in constr...
The stationary solution map $X$ of a canonically perturbed nonlinear program or variational conditio...
Abstract. This paper is mainly devoted to the study of the so-called full Lipschitzian stability of ...
Abstract. The objective function of any solvable linear program can be perturbed by a differentiable...
Our paper deals with the interrelation of optimization methods and Lipschitz stability of multifunct...
Our paper deals with the interrelation of optimization methods and Lipschitz stability of multifunct...
Our paper deals with the interrelation of optimization methods and Lipschitz stability of multifunct...
AbstractThe Kuhn–Tucker type necessary optimality conditions are given for the problem of minimizing...
AbstractThe Kuhn–Tucker type necessary optimality conditions are given for the problem of minimizing...