A smoothing procedure for finite optimization problems is given in [12]. There the main idea is to use the logarithmic barrier approach to approximate finitely ...

Smoothing Methods for Semi-Infinite Optimization. 3. S well-known and basic Mangasarian–Fromovitz constraint qualification [18] at a zero ¯x of G is. {d ∈ Rn ...

We study the smoothing method for the solution of generalized semi-infinite optimization problems from (O. Stein, G. Still: Solving semi-infinite ...

We study the smoothing method for the solution of generalized semi-infinite optimization problems from (O. Stein, G. Still: Solving semi-infinite optimization ...

Introduction Smoothing Approaches Motivated by Nonlinear Programming Smoothing Approaches for Semi-Infinite Programs Definitions The Extended ...

The goal of optimal randomized smoothing is to max- imize the average certified radius over the space of smoothing distributions. We theoretically study this ...

We study the smoothing method for the solution of generalized semi-infinite optimiza- tion problems from (O. Stein, G. Still: Solving semi-infinite optimization ...

We study the smoothing method for the solution of generalized semi-infinite optimization problems from (O. Stein, G. Still, Solving semi-infinite optimization ...

To solve these problems we introduce a unified framework concerning Remez-type algorithms and integral methods coupled with penalty and smoothing methods. This.

In this paper we consider min-max convex semi-infinite programming. To solve these problems we introduce a unified framework concerning Remez-type ...