Hierarchical distributed optimization of constraint-coupled convex and mixed-integer programs using approximations of the dual function

Cites Work

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Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers
A decomposition method for large scale MILPs, with performance guarantees and a power system application
Constrained distributed optimization: a population dynamics approach
An augmented Lagrangian method for distributed optimization
Interior-point Lagrangian decomposition method for separable convex optimization
A dual algorithm for the solution of nonlinear variational problems via finite element approximation
Convergence analysis of some methods for minimizing a nonsmooth convex function
Introductory lectures on convex optimization. A basic course.
Alternating direction method with self-adaptive penalty parameters for monotone variational inequalities
Privacy preserving distributed optimization using homomorphic encryption
Optimization problems for machine learning: a survey
Convergence of the surrogate Lagrangian relaxation method
Fairness measures for decision-making and conflict resolution
On the implementation of an interior-point filter line-search algorithm for large-scale nonlinear programming
Incremental Subgradient Methods for Nondifferentiable Optimization
An Augmented Lagrangian Based Algorithm for Distributed NonConvex Optimization
Introduction to Nonsmooth Optimization
Benchmarking large-scale distributed convex quadratic programming algorithms
Julia: A Fresh Approach to Numerical Computing
Differentially Private Distributed Constrained Optimization
Accelerated Dual Descent for Network Flow Optimization
Distributed Optimization and Games: A Tutorial Overview
A Market-Based Optimization Algorithm for Distributed Systems
Introduction to Derivative-Free Optimization
Generalized Lagrange Multiplier Method for Solving Problems of Optimum Allocation of Resources
On the Convergence of a Distributed Augmented Lagrangian Method for Nonconvex Optimization
Distributed optimization with arbitrary local solvers
Decentralized Quasi-Newton Methods
Survey of Bundle Methods for Nonsmooth Optimization
Constraint-Coupled Distributed Optimization: A Relaxation and Duality Approach
Distributed Primal Decomposition for Large-Scale MILPs
Fast Alternating Direction Optimization Methods
JuMP: A Modeling Language for Mathematical Optimization
Decomposition method with a variable parameter for a class of monotone variational inequality problems
A distributed Douglas-Rachford splitting method for multi-block convex minimization problems

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