Conditions for the existence, identification and calculus rules of the threshold of prox-boundedness

Author:

Planiden C.ORCID

Publisher

Springer Science and Business Media LLC

Subject

Control and Optimization

Reference40 articles.

1. Annergren, M., Hansson, A., Wahlberg, B.: An ADMM algorithm for solving $$l_1$$-regularized MPC. In: 2012 IEEE 51st Conference on Decision and Control, pp. 4486–4491. IEEE (2012)

2. Attouch, H., Peypouquet, J.: Convergence of inertial dynamics and proximal algorithms governed by maximally monotone operators. Math. Program. 174(1–2, Ser. B), 391–432 (2019)

3. Bačak, M., Borwein, J., Eberhard, A., Mordukhovich, B.: Infimal convolutions and Lipschitzian properties of subdifferentials for prox-regular functions in Hilbert spaces. J. Convex Anal. 17(3–4), 737–763 (2010)

4. CMS Books in Mathematics/Ouvrages de Mathématiques de la SMC;H Bauschke,2011

5. Bauschke, H., Matoušková, E., Reich, S.: Projection and proximal point methods: convergence results and counterexamples. Nonlinear Anal. 56(5), 715–738 (2004)

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