Critical sets in parametric optimization
Mathematical Programming: Series A and B
Semi-infinite optimization structure and stability of the feasible set
Journal of Optimization Theory and Applications
The Minimization of Semicontinuous Functions: Mollifier Subgradients
SIAM Journal on Control and Optimization
Optimization: algorithms and consistent approximations
Optimization: algorithms and consistent approximations
On Absorbing Cycles in Min--Max Digraphs
Journal of Global Optimization
The Adaptive Convexification Algorithm: A Feasible Point Method for Semi-Infinite Programming
SIAM Journal on Optimization
Smoothing by mollifiers. Part II: nonlinear optimization
Journal of Global Optimization
Smoothing by mollifiers. Part II: nonlinear optimization
Journal of Global Optimization
On Interior Logarithmic Smoothing and Strongly Stable Stationary Points
SIAM Journal on Optimization
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We show that a compact feasible set of a standard semi-infinite optimization problem can be approximated arbitrarily well by a level set of a single smooth function with certain regularity properties. This function is constructed as the mollification of the lower level optimal value function. Moreover, we use correspondences between Karush---Kuhn---Tucker points of the original and the smoothed problem, and between their associated Morse indices, to prove the connectedness of the so-called min---max digraph for semi-infinite problems.