Ideal formulations for constrained convex optimization problems with indicator variables

Mathematical Programming ◽

10.1007/s10107-021-01734-y ◽

2021 ◽

Author(s):

Linchuan Wei ◽

Andrés Gómez ◽

Simge Küçükyavuz

Keyword(s):

Convex Optimization ◽

Optimization Problems ◽

Convex Optimization Problems ◽

Constrained Convex Optimization ◽

Indicator Variables

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Fast and Effective Learning for Fuzzy Cognitive Maps: A Method Based on Solving Constrained Convex Optimization Problems

IEEE Transactions on Fuzzy Systems ◽

10.1109/tfuzz.2019.2946119 ◽

2020 ◽

Vol 28 (11) ◽

pp. 2958-2971

Author(s):

Wei Lu ◽

Guoliang Feng ◽

Xiaodong Liu ◽

Witold Pedrycz ◽

Liyong Zhang ◽

...

Keyword(s):

Convex Optimization ◽

Optimization Problems ◽

Cognitive Maps ◽

Fuzzy Cognitive Maps ◽

Effective Learning ◽

Convex Optimization Problems ◽

Constrained Convex Optimization

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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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An Inertial Proximal-Gradient Penalization Scheme for Constrained Convex Optimization Problems

Vietnam Journal of Mathematics ◽

10.1007/s10013-017-0256-9 ◽

2017 ◽

Vol 46 (1) ◽

pp. 53-71 ◽

Cited By ~ 8

Author(s):

Radu Ioan Boţ ◽

Ernö Robert Csetnek ◽

Nimit Nimana

Keyword(s):

Convex Optimization ◽

Optimization Problems ◽

Convex Optimization Problems ◽

Constrained Convex Optimization

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Inertial accelerated primal-dual methods for linear equality constrained convex optimization problems

Numerical Algorithms ◽

10.1007/s11075-021-01246-y ◽

2022 ◽

Author(s):

Xin He ◽

Rong Hu ◽

Ya-Ping Fang

Keyword(s):

Convex Optimization ◽

Optimization Problems ◽

Convex Optimization Problems ◽

Constrained Convex Optimization ◽

Linear Equality ◽

Dual Methods ◽

Primal Dual

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Neural Network for Solving Constrained Convex Optimization Problems With Global Attractivity

IEEE Transactions on Circuits and Systems I Regular Papers ◽

10.1109/tcsi.2012.2209735 ◽

2013 ◽

Vol 60 (3) ◽

pp. 710-723 ◽

Cited By ~ 28

Author(s):

Wei Bian ◽

Xiaoping Xue

Keyword(s):

Neural Network ◽

Convex Optimization ◽

Global Attractivity ◽

Optimization Problems ◽

Convex Optimization Problems ◽

Constrained Convex Optimization

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Constrained convex optimization problems-well-posedness and stability*

Numerical Functional Analysis and Optimization ◽

10.1080/01630569408816598 ◽

1994 ◽

Vol 15 (7-8) ◽

pp. 889-907 ◽

Cited By ~ 36

Author(s):

A. S. Konsulova ◽

J. P. Revalski

Keyword(s):

Convex Optimization ◽

Optimization Problems ◽

Well Posedness ◽

Convex Optimization Problems ◽

Constrained Convex Optimization

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Gradient-type penalty method with inertial effects for solving constrained convex optimization problems with smooth data

Optimization Letters ◽

10.1007/s11590-017-1158-1 ◽

2017 ◽

Vol 12 (1) ◽

pp. 17-33 ◽

Cited By ~ 8

Author(s):

Radu Ioan Boţ ◽

Ernö Robert Csetnek ◽

Nimit Nimana

Keyword(s):

Convex Optimization ◽

Penalty Method ◽

Optimization Problems ◽

Inertial Effects ◽

Convex Optimization Problems ◽

Constrained Convex Optimization ◽

Gradient Type ◽

Smooth Data

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Solving quadratically constrained convex optimization problems with an interior-point method

Optimization Methods and Software ◽

10.1080/10556788.2010.544309 ◽

2011 ◽

Vol 26 (3) ◽

pp. 421-429 ◽

Cited By ~ 2

Author(s):

Csaba Mészáros

Keyword(s):

Convex Optimization ◽

Interior Point ◽

Interior Point Method ◽

Optimization Problems ◽

Point Method ◽

Convex Optimization Problems ◽

Constrained Convex Optimization ◽

Quadratically Constrained

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Subgradient method with feasible inexact projections for constrained convex optimization problems

Optimization ◽

10.1080/02331934.2021.1902520 ◽

2021 ◽

pp. 1-23

Author(s):

A. A. Aguiar ◽

O. P. Ferreira ◽

L. F. Prudente

Keyword(s):

Convex Optimization ◽

Optimization Problems ◽

Subgradient Method ◽

Convex Optimization Problems ◽

Constrained Convex Optimization

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Cluster-based distributed augmented Lagrangian algorithm for a class of constrained convex optimization problems

Automatica ◽

10.1016/j.automatica.2021.109608 ◽

2021 ◽

Vol 129 ◽

pp. 109608

Author(s):

Hossein Moradian ◽

Solmaz S. Kia

Keyword(s):

Convex Optimization ◽

Augmented Lagrangian ◽

Optimization Problems ◽

Convex Optimization Problems ◽

Constrained Convex Optimization

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