Inexact Alternating Direction Methods of Multipliers with Logarithmic–Quadratic Proximal Regularization
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DOI: 10.1007/s10957-013-0334-4
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- NESTEROV, Yu., 2007. "Gradient methods for minimizing composite objective function," LIDAM Discussion Papers CORE 2007076, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
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Cited by:
- Jiaxin Xie, 2018. "On inexact ADMMs with relative error criteria," Computational Optimization and Applications, Springer, vol. 71(3), pages 743-765, December.
- William W. Hager & Hongchao Zhang, 2019. "Inexact alternating direction methods of multipliers for separable convex optimization," Computational Optimization and Applications, Springer, vol. 73(1), pages 201-235, May.
- William W. Hager & Hongchao Zhang, 2020. "Convergence rates for an inexact ADMM applied to separable convex optimization," Computational Optimization and Applications, Springer, vol. 77(3), pages 729-754, December.
- Caihua Chen & Min Li & Xiaoming Yuan, 2015. "Further Study on the Convergence Rate of Alternating Direction Method of Multipliers with Logarithmic-quadratic Proximal Regularization," Journal of Optimization Theory and Applications, Springer, vol. 166(3), pages 906-929, September.
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Keywords
Alternating direction method of multipliers; Logarithmic-quadratic proximal regularization; Convergence rate; Inexact; Variational inequality;All these keywords.
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