| Distributed optimization and statistical learning via the alternating direction method of multipliers P Neal, C Eric, P Borja, E Jonathan Foundations and Trends® in Machine learning 3 (1), 1-122, 2011 | 26672 | 2011 |
| On the Douglas—Rachford splitting method and the proximal point algorithm for maximal monotone operators J Eckstein, DP Bertsekas Mathematical programming 55 (1), 293-318, 1992 | 3575 | 1992 |
| Nonlinear proximal point algorithms using Bregman functions, with applications to convex programming J Eckstein Mathematics of Operations Research 18 (1), 202-226, 1993 | 485 | 1993 |
| Splitting methods for monotone operators with applications to parallel optimization J Eckstein Massachusetts Institute of Technology, 1989 | 438 | 1989 |
| Augmented Lagrangian and alternating direction methods for convex optimization: A tutorial and some illustrative computational results J Eckstein, W Yao RUTCOR Research Reports 32 (3), 44, 2012 | 318 | 2012 |
| Understanding the convergence of the alternating direction method of multipliers: Theoretical and computational perspectives J Eckstein, W Yao Pac. J. Optim. 11 (4), 619-644, 2015 | 267 | 2015 |
| Approximate iterations in Bregman-function-based proximal algorithms J Eckstein Mathematical programming 83 (1), 113-123, 1998 | 225 | 1998 |
| Parallel alternating direction multiplier decomposition of convex programs J Eckstein Journal of Optimization Theory and Applications 80 (1), 39-62, 1994 | 209 | 1994 |
| Some reformulations and applications of the alternating direction method of multipliers J Eckstein, M Fukushima Large Scale Optimization: State of the Art, 115-134, 1994 | 179 | 1994 |
| PICO: An object-oriented framework for parallel branch and bound J Eckstein, CA Phillips, WE Hart Studies in Computational Mathematics 8, 219-265, 2001 | 169 | 2001 |
| Some saddle-function splitting methods for convex programming J Eckstein Optimization Methods and Software 4 (1), 75-83, 1994 | 169 | 1994 |
| Dual coordinate step methods for linear network flow problems DP Bertsekas, J Eckstein Mathematical Programming 42 (1), 203-243, 1988 | 151 | 1988 |
| Parallel branch-and-bound algorithms for general mixed integer programming on the CM-5 J Eckstein SIAM journal on optimization 4 (4), 794-814, 1994 | 145 | 1994 |
| Distributed asynchronous relaxation methods for linear network flow problems DP Bertsekas, J Eckstein IFAC Proceedings Volumes 20 (5), 103-114, 1987 | 139 | 1987 |
| Stochastic dedication: Designing fixed income portfolios using massively parallel Benders decomposition RS Hiller, J Eckstein Management Science 39 (11), 1422-1438, 1993 | 132 | 1993 |
| A family of projective splitting methods for the sum of two maximal monotone operators J Eckstein, BF Svaiter Mathematical Programming 111 (1), 173-199, 2008 | 131 | 2008 |
| General projective splitting methods for sums of maximal monotone operators J Eckstein, BF Svaiter SIAM Journal on Control and Optimization 48 (2), 787-811, 2009 | 127 | 2009 |
| Operator-splitting methods for monotone affine variational inequalities, with a parallel application to optimal control J Eckstein, MC Ferris INFORMS Journal on Computing 10 (2), 218-235, 1998 | 126 | 1998 |
| Asynchronous block-iterative primal-dual decomposition methods for monotone inclusions PL Combettes, J Eckstein Mathematical Programming 168 (1), 645-672, 2018 | 107 | 2018 |
| The maximum box problem and its application to data analysis J Eckstein, PL Hammer, Y Liu, M Nediak, B Simeone Computational Optimization and Applications 23 (3), 285-298, 2002 | 107 | 2002 |
