Distributed primal–dual interior-point methods for solving tree-structured coupled convex problems using message-passing
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Publication:5268929
DOI10.1080/10556788.2016.1213839zbMath1364.90357arXiv1502.06384OpenAlexW2492779023MaRDI QIDQ5268929
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Publication date: 21 June 2017
Published in: Optimization Methods and Software (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1502.06384
Related Items (6)
An inexact interior-point Lagrangian decomposition algorithm with inexact oracles ⋮ A combined first‐ and second‐order approach for model predictive control ⋮ An optimization algorithm based on forward recursion with applications to variable horizon MPC ⋮ Distributed optimal control of nonlinear systems using a second-order augmented Lagrangian method ⋮ Decentralized optimization over tree graphs ⋮ Sparse semidefinite programs with guaranteed near-linear time complexity via dualized clique tree conversion
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Cites Work
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- Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers
- Parallel coordinate descent methods for big data optimization
- Scalable anomaly detection in large homogeneous populations
- Geometric algorithm for multiparametric linear programming
- Interior-point Lagrangian decomposition method for separable convex optimization
- Exploiting structure in parallel implementation of interior point methods for optimization
- Parallel interior-point solver for structured quadratic programs: Application to financial planning problems
- On non-serial dynamic programming
- Proximal Splitting Methods in Signal Processing
- Separable approximations and decomposition methods for the augmented Lagrangian
- Decomposition in Conic Optimization with Partially Separable Structure
- MAP Estimation Via Agreement on Trees: Message-Passing and Linear Programming
- The Multifrontal Solution of Indefinite Sparse Symmetric Linear
- The Multifrontal Method for Sparse Matrix Solution: Theory and Practice
- On Convergence of an Augmented Lagrangian Decomposition Method for Sparse Convex Optimization
- Distributed Subgradient Methods for Multi-Agent Optimization
- Constrained Consensus and Optimization in Multi-Agent Networks
- Logarithmic barriers for sparse matrix cones
- A Distributed Newton Method for Network Utility Maximization–I: Algorithm
- A Distributed Control Strategy for Reactive Power Compensation in Smart Microgrids
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