Solution refinement at regular points of conic problems
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DOI: 10.1007/s10589-019-00122-9
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- Defeng Sun & Jie Sun, 2008. "Löwner's Operator and Spectral Functions in Euclidean Jordan Algebras," Mathematics of Operations Research, INFORMS, vol. 33(2), pages 421-445, May.
- Enzo Busseti & Ernest K. Ryu & Stephen Boyd, 2016. "Risk-Constrained Kelly Gambling," Papers 1603.06183, arXiv.org.
- Houyuan Jiang, 1999. "Global Convergence Analysis of the Generalized Newton and Gauss-Newton Methods of the Fischer-Burmeister Equation for the Complementarity Problem," Mathematics of Operations Research, INFORMS, vol. 24(3), pages 529-543, August.
- Brendan O’Donoghue & Eric Chu & Neal Parikh & Stephen Boyd, 2016. "Conic Optimization via Operator Splitting and Homogeneous Self-Dual Embedding," Journal of Optimization Theory and Applications, Springer, vol. 169(3), pages 1042-1068, June.
- Stephen Boyd & Enzo Busseti & Steven Diamond & Ronald N. Kahn & Kwangmoo Koh & Peter Nystrup & Jan Speth, 2017. "Multi-Period Trading via Convex Optimization," Papers 1705.00109, arXiv.org.
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Cited by:
- Bolte, Jérôme & Le, Tam & Pauwels, Edouard & Silveti-Falls, Antonio, 2022.
"Nonsmooth Implicit Differentiation for Machine Learning and Optimization,"
TSE Working Papers
22-1314, Toulouse School of Economics (TSE).
- Bolte, Jérôme & Le, Tam & Pauwels, Edouard & Silveti-Falls, Antonio, 2022. "Nonsmooth Implicit Differentiation for Machine Learning and Optimization," TSE Working Papers 126768, Toulouse School of Economics (TSE).
- Andrew Butler & Roy H. Kwon, 2023. "Efficient differentiable quadratic programming layers: an ADMM approach," Computational Optimization and Applications, Springer, vol. 84(2), pages 449-476, March.
- Mathieu Besançon & Joaquim Dias Garcia & Benoît Legat & Akshay Sharma, 2024. "Flexible Differentiable Optimization via Model Transformations," INFORMS Journal on Computing, INFORMS, vol. 36(2), pages 456-478, March.
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Keywords
Conic programming; Homogenous self-dual embedding; Projection operator; Residual map;All these keywords.
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