Comments on “The Proximal Point Algorithm Revisited”
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DOI: 10.1007/s10957-014-0685-5
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References listed on IDEAS
- A. J. Zaslavski, 2011. "Maximal Monotone Operators and the Proximal Point Algorithm in the Presence of Computational Errors," Journal of Optimization Theory and Applications, Springer, vol. 150(1), pages 20-32, July.
- Yunda Dong, 2014. "The Proximal Point Algorithm Revisited," Journal of Optimization Theory and Applications, Springer, vol. 161(2), pages 478-489, May.
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Cited by:
- Eike Börgens & Christian Kanzow, 2019. "Regularized Jacobi-type ADMM-methods for a class of separable convex optimization problems in Hilbert spaces," Computational Optimization and Applications, Springer, vol. 73(3), pages 755-790, July.
- J. Preininger & P. T. Vuong, 2018. "On the convergence of the gradient projection method for convex optimal control problems with bang–bang solutions," Computational Optimization and Applications, Springer, vol. 70(1), pages 221-238, May.
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- Eike Börgens & Christian Kanzow, 2019. "Regularized Jacobi-type ADMM-methods for a class of separable convex optimization problems in Hilbert spaces," Computational Optimization and Applications, Springer, vol. 73(3), pages 755-790, July.
- Yunda Dong, 2014. "The Proximal Point Algorithm Revisited," Journal of Optimization Theory and Applications, Springer, vol. 161(2), pages 478-489, May.
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Keywords
Monotone inclusion; Convex minimization; Proximal point algorithm; Rate of convergence;All these keywords.
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