Convergence of Approximate and Incremental Subgradient Methods for Convex Optimization

SIAM Journal on Optimization ◽

10.1137/s1052623400376366 ◽

2004 ◽

Vol 14 (3) ◽

pp. 807-840 ◽

Author(s):

Krzysztof C. Kiwiel

Keyword(s):

Convex Optimization ◽

Subgradient Methods ◽

Incremental Subgradient Methods

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String-averaging incremental subgradient methods for constrained convex optimization problems

10.11606/t.55.2017.tde-14112017-150512 ◽

2017 ◽

Author(s):

Rafael Massambone de Oliveira

Keyword(s):

Convex Optimization ◽

Optimization Problems ◽

Subgradient Methods ◽

Convex Optimization Problems ◽

Constrained Convex Optimization ◽

Incremental Subgradient Methods

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The incremental subgradient methods on distributed estimations in-network

Science China Information Sciences ◽

10.1007/s11432-013-4944-0 ◽

2014 ◽

Vol 57 (9) ◽

pp. 1-10 ◽

Author(s):

Hui Feng ◽

ZiDong Jiang ◽

Bo Hu ◽

JianQiu Zhang

Keyword(s):

Subgradient Methods ◽

Incremental Subgradient Methods

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``Efficient” Subgradient Methods for General Convex Optimization

SIAM Journal on Optimization ◽

10.1137/15m1027371 ◽

2016 ◽

Vol 26 (4) ◽

pp. 2649-2676 ◽

Author(s):

James Renegar

Keyword(s):

Convex Optimization ◽

Subgradient Methods ◽

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New results on subgradient methods for strongly convex optimization problems with a unified analysis

Computational Optimization and Applications ◽

10.1007/s10589-016-9841-1 ◽

2016 ◽

Vol 65 (1) ◽

pp. 127-172 ◽

Author(s):

Masaru Ito

Keyword(s):

Convex Optimization ◽

Optimization Problems ◽

Subgradient Methods ◽

Strongly Convex ◽

Convex Optimization Problems ◽

Strongly Convex Optimization

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Distributed Subgradient Methods for Convex Optimization Over Random Networks

IEEE Transactions on Automatic Control ◽

10.1109/tac.2010.2091295 ◽

2011 ◽

Vol 56 (6) ◽

pp. 1291-1306 ◽

Author(s):

Ilan Lobel ◽

Asuman Ozdaglar

Keyword(s):

Convex Optimization ◽

Random Networks ◽

Subgradient Methods

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Primal convergence from dual subgradient methods for convex optimization

Mathematical Programming ◽

10.1007/s10107-014-0772-2 ◽

2014 ◽

Vol 150 (2) ◽

pp. 365-390 ◽

Author(s):

Emil Gustavsson ◽

Michael Patriksson ◽

Ann-Brith Strömberg

Keyword(s):

Convex Optimization ◽

Subgradient Methods

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Inexact subgradient methods for quasi-convex optimization problems

European Journal of Operational Research ◽

10.1016/j.ejor.2014.05.017 ◽

2015 ◽

Vol 240 (2) ◽

pp. 315-327 ◽

Author(s):

Yaohua Hu ◽

Xiaoqi Yang ◽

Chee-Khian Sim

Keyword(s):

Convex Optimization ◽

Optimization Problems ◽

Subgradient Methods ◽

Convex Optimization Problems

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Averaged Subgradient Methods for Constrained Convex Optimization and Nash Equilibria Computation

Optimization ◽

10.1080/0233193021000066455 ◽

2002 ◽

Vol 51 (6) ◽

pp. 863-888 ◽

Author(s):

Dan Butnariu ◽

Elena Resmerita

Keyword(s):

Convex Optimization ◽

Nash Equilibria ◽

Subgradient Methods ◽

Constrained Convex Optimization

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Parallel Subgradient Methods for Convex Optimization

Studies in Computational Mathematics - Inherently Parallel Algorithms in Feasibility and Optimization and their Applications ◽

10.1016/s1570-579x(01)80020-3 ◽

2001 ◽

pp. 335-344 ◽

Author(s):

K.C. Kiwiel ◽

P.O. Lindberg

Keyword(s):

Convex Optimization ◽

Subgradient Methods

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Incremental Subgradient Methods for Nondifferentiable Optimization

SIAM Journal on Optimization ◽

10.1137/s1052623499362111 ◽

2001 ◽

Vol 12 (1) ◽

pp. 109-138 ◽

Author(s):

Angelia Nedic ◽

Dimitri P. Bertsekas

Keyword(s):

Nondifferentiable Optimization ◽

Subgradient Methods ◽

Incremental Subgradient Methods

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