Accelerated forward–backward algorithms for structured monotone inclusions
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s10589-023-00547-3.pdf
Reference50 articles.
1. Attouch, H., Cabot, A.: Convergence of a relaxed inertial forward–backward algorithm for structured monotone inclusions. Appl. Math. Optim. 80, 547–598 (2019)
2. Attouch, H., László, S.C.: Newton-like inertial dynamics and proximal algorithms governed by maximally monotone operators. SIAM J. Optim. 30(4), 3252–3283 (2020)
3. Attouch, H., Peypouquet, J.: The rate of convergence of Nesterov’s accelerated forward–backward method is actually faster than $$1/k^{2}$$. SIAM J. Optim. 26(3), 1824–1834 (2016)
4. Attouch, H., Peypouquet, J.: Convergence of inertial dynamics and proximal algorithms governed by maximal monotone operators. Math. Program. 174, 391–432 (2019)
5. Attouch, H., Peypouquet, J., Redont, P.: Fast convex optimization via inertial dynamics with hessian driven damping. J. Differ. Equ. 261(10), 5734–5783 (2016)
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