Conjugate Duality in Convex Optimization
By Radu Ioan Bot. 2010
255 citations recorded by the source corpus.
Subfields: Applied Mathematics, Computational Theory and Mathematics, Numerical Analysis
View Paper: https://www.semanticscholar.org/paper/acda6e356c2e9fff115eb1ee5861f4c461147c5a
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Applied Mathematics
In Computational Theory and Mathematics
- Ernö Robert Csetnek
- Christopher Hendrich
- Radu Ioan Bot
- Yekini Shehu
- Olaniyi Samuel Iyiola
- Yangyang Peng
- Zhenguo Mu
- Scott B. Lindstrom
In Numerical Analysis
Citations in the corpus
- Forward-Backward and Tseng’s Type Penalty Schemes for Monotone Inclusion Problems (2013, methodology): “For the readers convenience we present first some notations which are used throughout the paper (see [4, 7, 8, 16, 22, 25]).”
- Inertial Douglas-Rachford splitting for monotone inclusion problems (2014, methodology): “ the inertial Douglas-Rachford primal-dual algorithm can be implemented when solving a primal-dual pair of convex optimization problems. We recall rst some notations used in the variational case, see [6,8,9,24,35,37]. For a function f : H!R, where R := R [f1g is the extended real line, we denote by ”
- A Hybrid Proximal-Extragradient Algorithm with Inertial Effects (2014, unknown): “R. I. Boţ (2010).”