In this paper, we discuss the smoothing of an implicit function defined by a nonsmooth underdetermined system of equations F(y,z) = 0. We apply a class of parametrized smoothing methods to smooth F and investigate the limiting behavior of the implicit function solving the smoothed equations. In particular, we discuss the approximation of the Clarke generalized Jacobian of the implicit function when F is piecewise smooth. As an application, we present an analysis of the generalized Karush-Kuhn-Tucker conditions of different forms for a piecewise-smooth equality-constrained minimization problem
We study the smoothing method for the solution of generalized semi-infinite optimization problems fr...
This paper provides for the first time some computable smoothing functions for variational inequalit...
In this paper, we investigate a class of constrained nonsmooth convex optimization problems, that is...
Abstract. In this paper, we propose a smoothing augmented Lagrangian method for finding a stationary...
Many applications require the minimization of a smooth function f: Rn → R whose evaluation requires ...
In this paper, we discuss smoothing approximations of nonsmooth functions arising from complementari...
We show that classical smoothing problems with obstacles and weights have always the solution. These...
It is known that the Karush-Kuhn-Tucker (KKT) conditions of semidefinite pro-gramming can be reformu...
In this paper we consider inequality constrained nonlinear optimization problems where the first ord...
Abstract. In this paper we consider inequality constrained nonlinear optimization problems where the...
We present a new approach for solving nonsmooth optimization problems and a system of nonsmooth equ...
In this article, we discuss a nondifferentiable nonlinear penalty method for an optimization problem...
AbstractThe implicit-function theorem deals with the solutions of the equation F(x, t) = a for local...
In this paper, we give a smoothing approximation to the lower order exact penalty functions for ineq...
The smoothing Newton method for solving a system of nonsmooth equations F (x) = 0, which may arise ...
We study the smoothing method for the solution of generalized semi-infinite optimization problems fr...
This paper provides for the first time some computable smoothing functions for variational inequalit...
In this paper, we investigate a class of constrained nonsmooth convex optimization problems, that is...
Abstract. In this paper, we propose a smoothing augmented Lagrangian method for finding a stationary...
Many applications require the minimization of a smooth function f: Rn → R whose evaluation requires ...
In this paper, we discuss smoothing approximations of nonsmooth functions arising from complementari...
We show that classical smoothing problems with obstacles and weights have always the solution. These...
It is known that the Karush-Kuhn-Tucker (KKT) conditions of semidefinite pro-gramming can be reformu...
In this paper we consider inequality constrained nonlinear optimization problems where the first ord...
Abstract. In this paper we consider inequality constrained nonlinear optimization problems where the...
We present a new approach for solving nonsmooth optimization problems and a system of nonsmooth equ...
In this article, we discuss a nondifferentiable nonlinear penalty method for an optimization problem...
AbstractThe implicit-function theorem deals with the solutions of the equation F(x, t) = a for local...
In this paper, we give a smoothing approximation to the lower order exact penalty functions for ineq...
The smoothing Newton method for solving a system of nonsmooth equations F (x) = 0, which may arise ...
We study the smoothing method for the solution of generalized semi-infinite optimization problems fr...
This paper provides for the first time some computable smoothing functions for variational inequalit...
In this paper, we investigate a class of constrained nonsmooth convex optimization problems, that is...