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 ...

Randomized smoothing is a leading approach to producing certifiably robust classifiers. The goal of optimal randomized smoothing is to max-.

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

On Karush- Kuhn- Tucker Points for a Smoothing Method in Semi-infinite Optimization 721 at X. Since for i G Io{x) the problem Ql(x) has vanishing optimal value, ...

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

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

The techniques are derived from a continuous version of Huard's method of centers that yields a family of trajectories in the feasible region that all converge ...