A random coordinate descent algorithm for optimization problems with composite objective function and linear coupled constraints

Coupled Constraints

Towards Solving Large-scale Expensive Optimization Problems Efficiently Using Coordinate Descent Algorithm

2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC) ◽

10.1109/smc42975.2020.9283224 ◽

2020 ◽

Author(s):

Shahryar Rahnamayan ◽

Seyed Jalaleddin Mousavirad

Keyword(s):

Large Scale ◽

Optimization Problems ◽

Coordinate Descent ◽

Descent Algorithm ◽

Expensive Optimization Problems ◽

Expensive Optimization

Efficient parallel coordinate descent algorithm for convex optimization problems with separable constraints: Application to distributed MPC

Journal of Process Control ◽

10.1016/j.jprocont.2012.12.012 ◽

2013 ◽

Vol 23 (3) ◽

pp. 243-253 ◽

Cited By ~ 44

Author(s):

Ion Necoara ◽

Dragos Clipici

Keyword(s):

Convex Optimization ◽

Optimization Problems ◽

Coordinate Descent ◽

Descent Algorithm ◽

Convex Optimization Problems ◽

Population-based coordinate descent algorithm with majority voting

Proceedings of the Genetic and Evolutionary Computation Conference Companion ◽

10.1145/3449726.3463186 ◽

2021 ◽

Author(s):

Davood Zaman Farsa ◽

Azam Asilian Bidgoli ◽

Ehsan Rokhsat-Yazdi ◽

Shahryar Rahnamayan

Keyword(s):

Population Based ◽

Coordinate Descent ◽

Majority Voting ◽

Descent Algorithm ◽

A Fast Active Set Block Coordinate Descent Algorithm for $\ell_1$-Regularized Least Squares

SIAM Journal on Optimization ◽

10.1137/141000737 ◽

2016 ◽

Vol 26 (1) ◽

pp. 781-809 ◽

Cited By ~ 11

Author(s):

Marianna De Santis ◽

Stefano Lucidi ◽

Francesco Rinaldi

Keyword(s):

Least Squares ◽

Coordinate Descent ◽

Block Coordinate Descent ◽

Active Set ◽

Descent Algorithm ◽

Regularized Least Squares ◽

An Iterative Coordinate Descent Algorithm for High-Dimensional Nonconvex Penalized Quantile Regression

Journal of Computational and Graphical Statistics ◽

10.1080/10618600.2014.913516 ◽

2015 ◽

Vol 24 (3) ◽

pp. 676-694 ◽

Cited By ~ 19

Author(s):

Bo Peng ◽

Lan Wang

Keyword(s):

Quantile Regression ◽

Coordinate Descent ◽

High Dimensional ◽

Descent Algorithm ◽

A Coordinate-Descent Algorithm for Tracking Solutions in Time-Varying Optimal Power Flows

2018 Power Systems Computation Conference (PSCC) ◽

10.23919/pscc.2018.8442544 ◽

2018 ◽

Cited By ~ 4

Author(s):

Jie Liu ◽

Jakub Marecek ◽

Andrea Simonetta ◽

Martin Takak

Keyword(s):

Coordinate Descent ◽

Time Varying ◽

Descent Algorithm ◽

Optimal Power

OCam: Out-of-core coordinate descent algorithm for matrix completion

Information Sciences ◽

10.1016/j.ins.2019.09.077 ◽

2020 ◽

Vol 514 ◽

pp. 587-604

Author(s):

Dongha Lee ◽

Jinoh Oh ◽

Hwanjo Yu

Keyword(s):

Matrix Completion ◽

Coordinate Descent ◽

Descent Algorithm ◽

A coordinate descent algorithm for computing penalized smooth quantile regression

Statistics and Computing ◽

10.1007/s11222-016-9659-9 ◽

2016 ◽

Vol 27 (4) ◽

pp. 865-883 ◽

Cited By ~ 3

Author(s):

Abdallah Mkhadri ◽

Mohamed Ouhourane ◽

Karim Oualkacha

Keyword(s):

Quantile Regression ◽

Coordinate Descent ◽

Descent Algorithm ◽

A clipping dual coordinate descent algorithm for solving support vector machines

Knowledge-Based Systems ◽

10.1016/j.knosys.2014.08.005 ◽

2014 ◽

Vol 71 ◽

pp. 266-278 ◽

Cited By ~ 12

Author(s):

Xinjun Peng ◽

Dongjing Chen ◽

Lingyan Kong

Keyword(s):

Support Vector Machines ◽

Coordinate Descent ◽

Support Vector ◽

Descent Algorithm ◽

Vector Machines ◽

Dual Coordinate Descent

A low-rank coordinate-descent algorithm for semidefinite programming relaxations of optimal power flow

Optimization Methods and Software ◽

10.1080/10556788.2017.1288729 ◽

2017 ◽

Vol 32 (4) ◽

pp. 849-871 ◽

Cited By ~ 7

Author(s):

Jakub Mareček ◽

Martin Takáč

Keyword(s):

Semidefinite Programming ◽

Power Flow ◽

Optimal Power Flow ◽

Coordinate Descent ◽

Low Rank ◽

Descent Algorithm ◽

Semidefinite Programming Relaxations

Optimal Power ◽