Path-following gradient-based decomposition algorithms for separable convex optimization
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DOI: 10.1007/s10898-013-0085-7
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- I. Necoara & J. A. K. Suykens, 2009. "Interior-Point Lagrangian Decomposition Method for Separable Convex Optimization," Journal of Optimization Theory and Applications, Springer, vol. 143(3), pages 567-588, December.
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Cited by:
- Da Tian, 2015. "An exterior point polynomial-time algorithm for convex quadratic programming," Computational Optimization and Applications, Springer, vol. 61(1), pages 51-78, May.
- Bingsheng He & Min Tao & Xiaoming Yuan, 2017. "Convergence Rate Analysis for the Alternating Direction Method of Multipliers with a Substitution Procedure for Separable Convex Programming," Mathematics of Operations Research, INFORMS, vol. 42(3), pages 662-691, August.
- Frank E. Curtis & Arvind U. Raghunathan, 2017. "Solving nearly-separable quadratic optimization problems as nonsmooth equations," Computational Optimization and Applications, Springer, vol. 67(2), pages 317-360, June.
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Keywords
Path-following gradient method; Dual fast gradient algorithm; Separable convex optimization; Smoothing technique; Self-concordant barrier; Parallel implementation;All these keywords.
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