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Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers
- Stephen P. Boyd, N. Parikh, E. Chu, B. Peleato, Jonathan Eckstein
- Computer ScienceFound. Trends Mach. Learn.
- 23 May 2011
TLDR
On the Douglas—Rachford splitting method and the proximal point algorithm for maximal monotone operators
- Jonathan Eckstein, D. Bertsekas
- Computer Science, MathematicsMath. Program.
- 6 June 1992
TLDR
Splitting methods for monotone operators with applications to parallel optimization
- Jonathan Eckstein
- Mathematics
- 1989
Augmented Lagrangian and Alternating Direction Methods for Convex Optimization: A Tutorial and Some Illustrative Computational Results
- Jonathan Eckstein
- Computer Science
- 2012
TLDR
Nonlinear Proximal Point Algorithms Using Bregman Functions, with Applications to Convex Programming
- Jonathan Eckstein
- Mathematics, Computer ScienceMath. Oper. Res.
- 1 February 1993
TLDR
Some Saddle-function splitting methods for convex programming
- Jonathan Eckstein
- Mathematics
- 1994
Consider two variations of the method of multipliers, or classical augmented Lagrangian method for convex programming. The proximal method of multipliers adjoins quadratic primal proximal terms to…
Approximate iterations in Bregman-function-based proximal algorithms
- Jonathan Eckstein
- MathematicsMath. Program.
- 1 September 1998
TLDR
Parallel alternating direction multiplier decomposition of convex programs
- Jonathan Eckstein
- Computer Science
- 1994
TLDR
Pico: An Object-Oriented Framework for Parallel Branch and Bound *
- Jonathan Eckstein, C. Phillips, W. Hart
- Computer Science
- 2001
General Projective Splitting Methods for Sums of Maximal Monotone Operators
- Jonathan Eckstein, B. Svaiter
- MathematicsSIAM J. Control. Optim.
- 1 March 2009
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