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, Let us list some interesting questions to be examined in the future : 1. Examine the discrete, algorithmical version, and the corresponding asymptotic selection property for the forward-backward algorithm

, Study the case where ?(t) depends on t in an open-loop form

, Study the case where the Levenberg-Marquart regularization term is given in a closedloop form, ?(t) = ?( ?(t) ) as in

B. Abbas and H. Attouch, Dynamical systems and forward-backward algorithms associated with the sum of a convex subdierential and a monotone cocoercive operator, Optimization, 2014.

B. Abbas, H. Attouch, and B. F. Svaiter, Newton-like dynamics and forward-backward methods for structured monotone inclusions in Hilbert spaces, J. Optim. Theory Appl, vol.161, issue.2, pp.331-360, 2014.
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URL : https://hal.archives-ouvertes.fr/hal-00803408

H. Attouch, J. Peypouquet, and P. Redont, Backward-forward algorithms for structured monotone inclusions in Hilbert spaces
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H. Attouch, P. Redont, and B. F. Svaiter, Global convergence of a closed-loop regularized Newton method for solving monotone inclusions in Hilbert spaces, J. Optim. Theory Appl, vol.157, issue.3, p.624650, 2013.
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URL : https://hal.archives-ouvertes.fr/hal-00803194

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R. I. Boµ and E. R. Csetnek, A forward-backward dynamical approach to the minimization of the sum of a nonsmooth convex with a smooth nonconvex function, 2015.

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