Parallel coordinate descent methods for big data optimization

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

(2013) Ion Necoara et al.   COMPUTATIONAL OPTIMIZATION AND APPLICATIONS

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

(2013) Ion Necoara et al.   JOURNAL OF PROCESS CONTROL

Subgradient methods for huge-scale optimization problems

(2013) Yu. Nesterov   MATHEMATICAL PROGRAMMING

On the Nonasymptotic Convergence of Cyclic Coordinate Descent Methods

(2013) Ankan Saha et al.   SIAM JOURNAL ON OPTIMIZATION

Gradient methods for minimizing composite functions

(2012) Yu. Nesterov   MATHEMATICAL PROGRAMMING

Iteration complexity of randomized block-coordinate descent methods for minimizing a composite function

(2012) Peter Richtárik et al.   MATHEMATICAL PROGRAMMING

Efficiency of Coordinate Descent Methods on Huge-Scale Optimization Problems

(2012) Yu. Nesterov   SIAM JOURNAL ON OPTIMIZATION

Randomized Methods for Linear Constraints: Convergence Rates and Conditioning

(2010) D. Leventhal et al.   MATHEMATICS OF OPERATIONS RESEARCH

Coordinate descent optimization for l1 minimization with application to compressed sensing; a greedy algorithm

(2009) Stanley Osher et al.   Inverse Problems and Imaging

A Randomized Kaczmarz Algorithm with Exponential Convergence

(2008) Thomas Strohmer et al.   JOURNAL OF FOURIER ANALYSIS AND APPLICATIONS