Generic minimizing behavior in semi-algebraic optimization
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Abstract (arXiv)
We present a theorem of Sard type for semi-algebraic set-valued mappings whose graphs have dimension no larger than that of their range space: the inverse of such a mapping admits a single-valued analytic localization around any pair in the graph, for a generic value parameter. This simple result yields a transparent and unified treatment of generic properties of semi-algebraic optimization problems: "typical" semi-algebraic problems have finitely many critical points, around each of which they admit a unique "active manifold" (analogue of an active set in nonlinear optimization); moreover, such critical points satisfy strict complementarity and second-order sufficient conditions for optimality are indeed necessary.
Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). First posted on arXiv 29 Apr 2015.
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Citing papers per year: 2021: 4; 2022: 0; 2023: 1.
5 papers.
- 2023Asymptotic normality and optimality in nonsmooth stochastic approximationcited by 14
- 2021Active manifolds, stratifications, and convergence to local minima in nonsmooth optimizationcited by 11
- 2021Stochastic Subgradient Descent Escapes Active Strict Saddles on Weakly Convex Functionscited by 9
- 2021Escaping strict saddle points of the Moreau envelope in nonsmooth optimizationcited by 7
- 2021Stochastic Subgradient Descent on a Generic Definable Function Converges to a Minimizercited by 1
- 2023Asymptotic normality and optimality in nonsmooth stochastic approximation16 Jan 2023
- 2021Stochastic Subgradient Descent on a Generic Definable Function Converges to a Minimizer6 Sep 2021
- 2021Active manifolds, stratifications, and convergence to local minima in nonsmooth optimization26 Aug 2021
- 2021Stochastic Subgradient Descent Escapes Active Strict Saddles on Weakly Convex Functions4 Aug 2021
- 2021Escaping strict saddle points of the Moreau envelope in nonsmooth optimization17 Jun 2021