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Distributed Stochastic Subgradient Projection Algorithms for Convex Optimization

Journal of optimization theory and applications, 2010-12, Vol.147 (3), p.516-545

2010

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A Sampling-and-Discarding Approach to Chance-Constrained Optimization: Feasibility and Optimality

Journal of optimization theory and applications, 2011-02, Vol.148 (2), p.257-280

2011

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Conic Optimization via Operator Splitting and Homogeneous Self-Dual Embedding

Journal of optimization theory and applications, 2016-06, Vol.169 (3), p.1042-1068

2016

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Sample Average Approximation Method for Chance Constrained Programming: Theory and Applications

Journal of optimization theory and applications, 2009-08, Vol.142 (2), p.399-416

2009

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On the Relation Between Optimal Transport and Schrödinger Bridges: A Stochastic Control Viewpoint

Journal of optimization theory and applications, 2016-05, Vol.169 (2), p.671-691

2016

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A Primal–Dual Splitting Method for Convex Optimization Involving Lipschitzian, Proximable and Linear Composite Terms

Journal of optimization theory and applications, 2013-08, Vol.158 (2), p.460-479

Condat, Laurent

2013

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On the Convergence of the Iterates of the “Fast Iterative Shrinkage/Thresholding Algorithm”

Journal of optimization theory and applications, 2015-09, Vol.166 (3), p.968-982

2015

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Averaged Mappings and the Gradient-Projection Algorithm

Journal of optimization theory and applications, 2011-08, Vol.150 (2), p.360-378

Xu, Hong-Kun

2011

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Strong Convergence of the Halpern Subgradient Extragradient Method for Solving Variational Inequalities in Hilbert Spaces

Journal of optimization theory and applications, 2014-11, Vol.163 (2), p.399-412

2014

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Entropic Value-at-Risk: A New Coherent Risk Measure

Journal of optimization theory and applications, 2012-12, Vol.155 (3), p.1105-1123

Ahmadi-Javid, A.

2012

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Infeasibility Detection in the Alternating Direction Method of Multipliers for Convex Optimization

Journal of optimization theory and applications, 2019-11, Vol.183 (2), p.490-519

2019

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Convergence and Complexity Analysis of a Levenberg–Marquardt Algorithm for Inverse Problems

Journal of optimization theory and applications, 2020-06, Vol.185 (3), p.927-944

2020

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Finding the Forward-Douglas–Rachford-Forward Method

Journal of optimization theory and applications, 2020-03, Vol.184 (3), p.858-876

2020

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Dualize, Split, Randomize: Toward Fast Nonsmooth Optimization Algorithms

Journal of optimization theory and applications, 2022-10, Vol.195 (1), p.102-130

2022

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Subgradient Methods for Saddle-Point Problems

Journal of optimization theory and applications, 2009-07, Vol.142 (1), p.205-228

2009

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Optimizing the Efficiency of First-Order Methods for Decreasing the Gradient of Smooth Convex Functions

Journal of optimization theory and applications, 2021-01, Vol.188 (1), p.192-219

2021

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On distributionally robust chance-constrained linear programs

Journal of optimization theory and applications, 2006-07, Vol.130 (1), p.1-22

2006

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New Order Relations in Set Optimization

Journal of optimization theory and applications, 2011-02, Vol.148 (2), p.209-236

2011

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A Control Parameterization Method to Solve the Fractional-Order Optimal Control Problem

Journal of optimization theory and applications, 2020-10, Vol.187 (1), p.234-247

2020

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Variable Metric Forward–Backward Algorithm for Minimizing the Sum of a Differentiable Function and a Convex Function

Journal of optimization theory and applications, 2014-07, Vol.162 (1), p.107-132

2014

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Deterministic Global Optimization with Artificial Neural Networks Embedded

Journal of optimization theory and applications, 2019-03, Vol.180 (3), p.925-948

2019

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A Pollution Sensitive Marxian Production Inventory Model with Deterioration Under Fuzzy System

Journal of optimization theory and applications, 2022, Vol.192 (2), p.598-627

2022

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On Linear Convergence of Non-Euclidean Gradient Methods without Strong Convexity and Lipschitz Gradient Continuity

Journal of optimization theory and applications, 2019-09, Vol.182 (3), p.1068-1087

2019

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Some New Quantum Hermite–Hadamard-Like Inequalities for Coordinated Convex Functions

Journal of optimization theory and applications, 2020-09, Vol.186 (3), p.899-910

2020

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Some Characterizations of Approximate Solutions for Robust Semi-infinite Optimization Problems

Journal of optimization theory and applications, 2021-10, Vol.191 (1), p.281-310

2021

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Distributed Stochastic Subgradient Projection Algorithms for Convex Optimization

A Sampling-and-Discarding Approach to Chance-Constrained Optimization: Feasibility and Optimality

Conic Optimization via Operator Splitting and Homogeneous Self-Dual Embedding

Sample Average Approximation Method for Chance Constrained Programming: Theory and Applications

On the Relation Between Optimal Transport and Schrödinger Bridges: A Stochastic Control Viewpoint

A Primal–Dual Splitting Method for Convex Optimization Involving Lipschitzian, Proximable and Linear Composite Terms

On the Convergence of the Iterates of the “Fast Iterative Shrinkage/Thresholding Algorithm”

Averaged Mappings and the Gradient-Projection Algorithm

Strong Convergence of the Halpern Subgradient Extragradient Method for Solving Variational Inequalities in Hilbert Spaces

Entropic Value-at-Risk: A New Coherent Risk Measure

Infeasibility Detection in the Alternating Direction Method of Multipliers for Convex Optimization

Convergence and Complexity Analysis of a Levenberg–Marquardt Algorithm for Inverse Problems

Finding the Forward-Douglas–Rachford-Forward Method

Dualize, Split, Randomize: Toward Fast Nonsmooth Optimization Algorithms

Subgradient Methods for Saddle-Point Problems

Optimizing the Efficiency of First-Order Methods for Decreasing the Gradient of Smooth Convex Functions

On distributionally robust chance-constrained linear programs

New Order Relations in Set Optimization

A Control Parameterization Method to Solve the Fractional-Order Optimal Control Problem

Variable Metric Forward–Backward Algorithm for Minimizing the Sum of a Differentiable Function and a Convex Function

Deterministic Global Optimization with Artificial Neural Networks Embedded

A Pollution Sensitive Marxian Production Inventory Model with Deterioration Under Fuzzy System

On Linear Convergence of Non-Euclidean Gradient Methods without Strong Convexity and Lipschitz Gradient Continuity

Some New Quantum Hermite–Hadamard-Like Inequalities for Coordinated Convex Functions

Some Characterizations of Approximate Solutions for Robust Semi-infinite Optimization Problems

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