Convergence of projection-based methods for nonconvex set feasibility problems has been established for sets with ever weaker regularity assumptions. What has not kept pace with these developments is analogous results for convergence of optimization problems with correspondingly weak assumptions on the value functions. Indeed, one of the earliest classes of nonconvex sets for which convergence results were obtainable, the class of so-called super-regular sets (Lewis et al., Comput. Math. 9(4), 485-513, 2009), has no functional counterpart. In this work, we amend this gap in the theory by establishing the equivalence between a property slightly stronger than super-regularity, which we call Clarke superregularity, and subsmootheness of sets as introduced by Aussel, Daniilidis and Thibault (Amer. Math. Soc. 357, 1275-1301, 2004). The bridge to functions shows that approximately convex functions studied by Ngai, Luc and Thera (J. Nonlinear Convex Anal. 1, 155-176, 2000) are those which have Clarke super-regular epigraphs. Further classes of regularity of functions based on the corresponding regularity of their epigraph are also discussed.
CITATION STYLE
Danillidis, A., Russell Luke, D., & Tam, M. (2019). Characterizations of Super-Regularity and Its Variants. In Splitting Algorithms, Modern Operator Theory, and Applications (pp. 137–152). Springer International Publishing. https://doi.org/10.1007/978-3-030-25939-6_6
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