Abstract
Prox-regularity is a generalization of convexity that includes all , lower-, strongly amenable, and primal-lower-nice functions. The study of prox-regular functions provides insight on a broad spectrum of important functions. Parametrically prox-regular (para-prox-regular) functions are a further extension of this family, produced by adding a parameter. Such functions have been shown to play a key role in understanding stability of minimizers in optimization problems. This document discusses para-prox-regular functions in . We begin with some basic examples of para-prox-regular functions, and move on to the more complex examples of the convex and nonconvex proximal average. We develop an alternate representation of a para-prox-regular function, related to the monotonicity of an f-attentive ε-localization as was done for prox-regular functions by R. A. Poliquin and R. T. Rockafellar ["Prox-regular functions in variational analysis", Trans. Amer. Math. Soc. 348(5) (1996) 1805–1838]. This extends a result of A. B. Levy ["Calm minima in parameterized finite-dimensional optimization", SIAM J. Optim. 11(1) (2000) 160–178 (electronic)], who used an alternate approach to show one implication of the relationship (we provide a characterization). We analyze two common forms of parametrized functions that appear in optimization: finite parametrized sum of functions, and finite parametrized max of functions. The example of strongly amenable functions by R. A. Poliquin and R. T. Rockafellar ["A calculus of prox-regularity", J. Convex Analyis 17(1) (2010) 203–210] is given, and a relaxation of its necessary conditions is presented
References
- H. Bauschke, Y. Lucet, M. Trienis: How to transform one convex function continuously into another, SIAM Rev. 50(1) (2008) 115–132.https://doi.org/10.1137/060664513Google Scholar
- H. Bauschke, E. Matoušková, S. Reich: Projection and proximal point methods: convergence results and counterexamples, Nonlinear Anal. 56(5) (2004) 715–738.https://doi.org/10.1016/j.na.2003.10.010Google Scholar
- F. Bernard, L. Thibault: Prox-regularity of functions and sets in Banach spaces, Set-Valued Anal. 12(1–2) (2004) 25–47.https://doi.org/10.1023/B:SVAN.0000023403.87092.a2Google Scholar
- S. Boralugoda, R. A. Poliquin: Local integration of prox-regular functions in Hilbert spaces, J. Convex Analysis 13(1) (2006) 27–36.https://doi.org/10.68381/jca13002Google Scholar
- M. Bounkhel, A. Jofré: Subdifferential stability of the distance function and its applications to nonconvex economies and equilibrium, J. Nonlinear Convex Anal. 5(3) (2004) 331–347.Google Scholar
- F. H. Clarke: Optimization and Nonsmooth Analysis, 2nd Ed., Classics in Applied Mathematics 5, Society for Industrial and Applied Mathematics, Philadelphia (1990).https://doi.org/10.1137/1.9781611971309Google Scholar
- F. H. Clarke, R. J. Stern, P. R. Wolenski: Proximal smoothness and the lower-C 2 property, J. Convex Analysis 2(1–2) (1995) 117–144.https://doi.org/10.68381/jca02008Google Scholar
- A. Eberhard, R. Wenczel: A study of tilt-stable optimality and sufficient conditions, Nonlinear Anal. 75(3) (2012) 1260–1281.https://doi.org/10.1016/j.na.2011.08.014Google Scholar
- W. Hare, C. Sagastizábal: A redistributed proximal bundle method for nonconvex optimization, SIAM J. Optim. 20(5) (2010) 2442–2473.https://doi.org/10.1137/090754595Google Scholar
- W. L. Hare: A proximal average for nonconvex functions: a proximal stability perspective, SIAM J. Optim. 20(2) (2009) 650–666.https://doi.org/10.1137/07070913XGoogle Scholar
- W. L. Hare: A proximal method for identifying active manifolds, Comput. Optim. Appl. 43(2) (2009) 295–306.https://doi.org/10.1007/s10589-007-9139-4Google Scholar
- W. L. Hare, R. A. Poliquin: Prox-regularity and stability of the proximal mapping, J. Convex Analysis 14(3) (2007) 589–606.https://doi.org/10.68381/jca14035Google Scholar
- A. B. Levy: Calm minima in parameterized finite-dimensional optimization, SIAM J. Optim. 11(1) (2000) 160–178.https://doi.org/10.1137/S1052623498340783Google Scholar
- A. B. Levy, R. A. Poliquin, R. T. Rockafellar: Stability of locally optimal solutions, SIAM J. Optim. 10(2) (2000) 580–604.https://doi.org/10.1137/S1052623498348274Google Scholar
- A. S. Lewis, D. R. Luke, J. Malick: Local linear convergence for alternating and averaged nonconvex projections, Found. Comput. Math. 9(4) (2009) 485–513.https://doi.org/10.1007/s10208-008-9036-yGoogle Scholar
- A. Moudafi: An algorithmic approach to prox-regular variational inequalities, Appl. Math. Comput. 155(3) (2004) 845–852.https://doi.org/10.1016/j.amc.2003.06.003Google Scholar
- R. A. Poliquin, R. T. Rockafellar: Generalized Hessian properties of regularized nonsmooth functions, SIAM J. Optim. 6(4) (1996) 1121–1137.https://doi.org/10.1137/S1052623494279316Google Scholar
- R. A. Poliquin, R. T. Rockafellar: Prox-regular functions in variational analysis, Trans. Amer. Math. Soc. 348(5) (1996) 1805–1838.https://doi.org/10.1090/S0002-9947-96-01544-9Google Scholar
- R. A. Poliquin, R. T. Rockafellar: Tilt stability of a local minimum, SIAM J. Optim. 8(2) (1998) 287–299.https://doi.org/10.1137/S1052623496309296Google Scholar
- R. A. Poliquin, R. T. Rockafellar: A calculus of prox-regularity, J. Convex Analysis 17(1) (2010) 203–210.https://doi.org/10.68381/jca17015Google Scholar
- R. T. Rockafellar, R. J. Wets: Variational Analysis, Springer, Berlin (1998).https://doi.org/10.1007/978-3-642-02431-3Google Scholar
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Published by Heldermann Verlag, 2014. Rights now held by Banach Press LLC.
