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Relative-error approximate versions of Douglas–Rachford splitting and special cases of the ADMM

Mathematical programming, 2018-08, Vol.170 (2), p.417-444

2018

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Asynchronous block-iterative primal-dual decomposition methods for monotone inclusions

Mathematical programming, 2018-03, Vol.168 (1-2), p.645-672

2018

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Approximate ADMM algorithms derived from Lagrangian splitting

Computational optimization and applications, 2017-11, Vol.68 (2), p.363-405

2017

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A Simplified Form of Block-Iterative Operator Splitting and an Asynchronous Algorithm Resembling the Multi-Block Alternating Direction Method of Multipliers

Journal of optimization theory and applications, 2017-04, Vol.173 (1), p.155-182

Eckstein, Jonathan

2017

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Deriving solution value bounds from the ADMM

Optimization letters, 2020-09, Vol.14 (6), p.1289-1303

Eckstein, Jonathan

2020

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Comments on a Simplified Form of Block-Iterative Operator Splitting, and an Asynchronous Algorithm Resembling the Multi-block Alternating Direction Method of Multipliers

Journal of optimization theory and applications, 2018-03, Vol.176 (3), p.783-785

Eckstein, Jonathan

2018

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Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers

Foundations and trends in machine learning, 2011, Vol.3 (1), p.1-122

Boyd, Stephen

2011

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Convergence Rates for Projective Splitting

SIAM journal on optimization, 2019-01, Vol.29 (3), p.1931-1957

2019

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Introductory Relational Database Design for Business, with Microsoft Access

Jonathan Eckstein, Bonnie R. Schultz

1st, 2017

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Projective splitting with forward steps

Mathematical programming, 2022-02, Vol.191 (2), p.631-670

2022

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Projective Hedging Algorithms for Multistage Stochastic Programming, Supporting Distributed and Asynchronous Implementation

Operations research, 2023-07

2023

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On the Douglas-Rachford splitting method and the proximal point algorithm for maximal monotone operators

Mathematical programming, 1992-04, Vol.55 (3), p.293-318

1992

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Single-forward-step projective splitting: exploiting cocoercivity

Computational optimization and applications, 2021, Vol.78 (1), p.125-166

2021

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Projective splitting with forward steps only requires continuity

Optimization letters, 2020-02, Vol.14 (1), p.229-247

2020

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Arrival Rate Approximation by Nonnegative Cubic Splines

Operations research, 2008-01, Vol.56 (1), p.140-156

2008

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Relative-error inertial-relaxed inexact versions of Douglas-Rachford and ADMM splitting algorithms

Computational optimization and applications, 2020-03, Vol.75 (2), p.389-422

2020

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Stochastic projective splitting

Computational optimization and applications, 2024-03, Vol.87 (2), p.397-437

2024

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Correction to: Stochastic projective splitting

Computational optimization and applications, 2024-03, Vol.87 (2), p.439-439

2024

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Sparse weighted voting classifier selection and its linear programming relaxations

Information processing letters, 2012-06, Vol.112 (12), p.481-486

2012

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Multilevel Optimization Modeling for Risk-Averse Stochastic Programming

INFORMS journal on computing, 2016-01, Vol.28 (1), p.112-128

2016

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General Projective Splitting Methods for Sums of Maximal Monotone Operators

SIAM journal on control and optimization, 2009-01, Vol.48 (2), p.787-811

2009

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Approximate iterations in Bregman-function-based proximal algorithms

Mathematical programming, 1998-09, Vol.83 (1), p.113-123

ECKSTEIN, J

1998

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A practical relative error criterion for augmented Lagrangians

Mathematical programming, 2013-10, Vol.141 (1-2), p.319-348

2013

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REPR: Rule-Enhanced Penalized Regression

INFORMS journal on optimization, 2019-04, Vol.1 (2), p.143-163

2019

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Pivot, Cut, and Dive: a heuristic for 0-1 mixed integer programming

Journal of heuristics, 2007-10, Vol.13 (5), p.471-503

2007

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Relative-error approximate versions of Douglas–Rachford splitting and special cases of the ADMM

Asynchronous block-iterative primal-dual decomposition methods for monotone inclusions

Approximate ADMM algorithms derived from Lagrangian splitting

A Simplified Form of Block-Iterative Operator Splitting and an Asynchronous Algorithm Resembling the Multi-Block Alternating Direction Method of Multipliers

Deriving solution value bounds from the ADMM

Comments on a Simplified Form of Block-Iterative Operator Splitting, and an Asynchronous Algorithm Resembling the Multi-block Alternating Direction Method of Multipliers

Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers

Convergence Rates for Projective Splitting

Introductory Relational Database Design for Business, with Microsoft Access

Projective splitting with forward steps

Projective Hedging Algorithms for Multistage Stochastic Programming, Supporting Distributed and Asynchronous Implementation

On the Douglas-Rachford splitting method and the proximal point algorithm for maximal monotone operators

Single-forward-step projective splitting: exploiting cocoercivity

Projective splitting with forward steps only requires continuity

Arrival Rate Approximation by Nonnegative Cubic Splines

Relative-error inertial-relaxed inexact versions of Douglas-Rachford and ADMM splitting algorithms

Stochastic projective splitting

Correction to: Stochastic projective splitting

Sparse weighted voting classifier selection and its linear programming relaxations

Multilevel Optimization Modeling for Risk-Averse Stochastic Programming

General Projective Splitting Methods for Sums of Maximal Monotone Operators

Approximate iterations in Bregman-function-based proximal algorithms

A practical relative error criterion for augmented Lagrangians

REPR: Rule-Enhanced Penalized Regression

Pivot, Cut, and Dive: a heuristic for 0-1 mixed integer programming

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