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Generalized Twice Differentiability and Quadratic Bundles in Second-Order Variational Analysis

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arxiv 2501.02067 v1 pith:AKMHX5PP submitted 2025-01-03 math.OC

classification math.OC
keywords analysisbundlesdifferentiabilityfunctionsgeneralizedquadraticsecond-ordertwice
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In this paper, we investigate the concepts of generalized twice differentiability and quadratic bundles of nonsmooth functions that have been very recently proposed by Rockafellar in the framework of second-order variational analysis. These constructions, in contrast to second-order subdifferentials, are defined in primal spaces. We develop new techniques to study generalized twice differentiability for a broad class of prox-regular functions, establish their novel characterizations. Subsequently, quadratic bundles of prox-regular functions are shown to be nonempty, which provides the ground of potential applications in variational analysis and optimization.

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  1. On the hardness of deterministic second-order optimization of functions with Lipschitz gradients

    math.OC 2026-07 accept novelty 7.0 of 10

    No deterministic zero-respecting second-order algorithm can compute Goldstein approximate second-order stationary points of C^{1,1} functions within finitely many oracle calls; general deterministic algorithms need at...

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