Smooth strongly convex interpolation and exact worst-case performance of first-order methods
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Note: In : Mathematical Programming Series A, 161, 307-345, 2017
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Other versions of this item:
- Taylor, A. & Hendrickx, J. & Glineur, F., 2015. "Smooth Strongly Convex Interpolation and Exact Worst-case Performance of First-order Methods," LIDAM Discussion Papers CORE 2015013, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
References listed on IDEAS
- DEVOLDER, Olivier & GLINEUR, François & NESTEROV, Yurii, 2012. "Double smoothing technique for large-scale linearly constrained convex optimization," LIDAM Reprints CORE 2423, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
Citations
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Cited by:
- Adrien B. Taylor & Julien M. Hendrickx & François Glineur, 2018.
"Exact Worst-Case Convergence Rates of the Proximal Gradient Method for Composite Convex Minimization,"
Journal of Optimization Theory and Applications, Springer, vol. 178(2), pages 455-476, August.
- Adrien B. Taylor & Julien M. Hendrickx & François Glineur, 2018. "Exact worst-case convergence rates of the proximal gradient method for composite convex minimization," LIDAM Reprints CORE 2975, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- TAYLOR, Adrien B. & HENDRICKX, Julien M. & François GLINEUR, 2016.
"Exact worst-case performance of first-order methods for composite convex optimization,"
LIDAM Discussion Papers CORE
2016052, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- Adrien B. TAYLOR & Julien M. HENDRICKX & François GLINEUR, 2017. "Exact worst-case performance of first-order methods for composite convex optimization," LIDAM Reprints CORE 2875, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- Sandra S. Y. Tan & Antonios Varvitsiotis & Vincent Y. F. Tan, 2021. "Analysis of Optimization Algorithms via Sum-of-Squares," Journal of Optimization Theory and Applications, Springer, vol. 190(1), pages 56-81, July.
- Vrins, F. & Jeanblanc, M., 2015. "The [phi]-Martingale," LIDAM Discussion Papers CORE 2015022, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- Ernest K. Ryu & Bằng Công Vũ, 2020. "Finding the Forward-Douglas–Rachford-Forward Method," Journal of Optimization Theory and Applications, Springer, vol. 184(3), pages 858-876, March.
- Rieger, Janosch & Tam, Matthew K., 2020. "Backward-Forward-Reflected-Backward Splitting for Three Operator Monotone Inclusions," Applied Mathematics and Computation, Elsevier, vol. 381(C).
- Donghwan Kim & Jeffrey A. Fessler, 2021. "Optimizing the Efficiency of First-Order Methods for Decreasing the Gradient of Smooth Convex Functions," Journal of Optimization Theory and Applications, Springer, vol. 188(1), pages 192-219, January.
- Abbaszadehpeivasti, Hadi & de Klerk, Etienne & Zamani, Moslem, 2022. "The exact worst-case convergence rate of the gradient method with fixed step lengths for L-smooth functions," Other publications TiSEM 061688c6-f97c-4024-bb5b-1, Tilburg University, School of Economics and Management.
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