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• W2904230427 abstract "We investigate a forward-backward splitting algorithm of penalty type with inertial effects for finding the zeros of the sum of a maximally monotone operator and a cocoercive one and the convex normal cone to the set of zeroes of an another cocoercive operator. Weak ergodic convergence is obtained for the iterates, provided that a condition expressed via the Fitzpatrick function of the operator describing the underlying set of the normal cone is verified. Under strong monotonicity assumptions, strong convergence for the sequence of generated iterates is proved. As a particular instance we consider a convex bilevel minimization problem including the sum of a non-smooth and a smooth function in the upper level and another smooth function in the lower level. We show that in this context weak non-ergodic and strong convergence can be also achieved under inf-compactness assumptions for the involved functions." @default.
• W2904230427 created "2018-12-22" @default.
• W2904230427 creator A5005685682 @default.
• W2904230427 creator A5011677215 @default.
• W2904230427 date "2018-12-11" @default.
• W2904230427 modified "2023-10-17" @default.
• W2904230427 title "A forward–backward penalty scheme with inertial effects for monotone inclusions. Applications to convex bilevel programming" @default.
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• W2904230427 doi "https://doi.org/10.1080/02331934.2018.1556662" @default.
• W2904230427 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/6817331" @default.
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• W2904230427 hasPublicationYear "2018" @default.
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