A Massively Parallel Interior-Point Method for Arrowhead Linear Programs with Local Linking Structure
Fuente:
arXiv
Saved in:
| Main Authors: | Kempke, Nils-Christian, Rehfeldt, Daniel, Koch, Thorsten |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Distributed Parallel Structure-Aware Presolving for Arrowhead Linear Programs
by: Kempke, Nils-Christian, et al.
Published: (2026)
by: Kempke, Nils-Christian, et al.
Published: (2026)
On the Relationships among GPU-Accelerated First-Order Methods for Solving Linear Programming
by: Chen, Kaihuang, et al.
Published: (2025)
by: Chen, Kaihuang, et al.
Published: (2025)
Accelerated Gradient Methods with Gradient Restart: Global Linear Convergence
by: Bao, Chenglong, et al.
Published: (2024)
by: Bao, Chenglong, et al.
Published: (2024)
Inexact Riemannian Gradient Descent Method for Nonconvex Optimization
by: Zhou, Juan, et al.
Published: (2024)
by: Zhou, Juan, et al.
Published: (2024)
The Global R-linear Convergence of Nesterov's Accelerated Gradient Method with Unknown Strongly Convex Parameter
by: Bao, Chenglong, et al.
Published: (2023)
by: Bao, Chenglong, et al.
Published: (2023)
Parallel block coordinate descent methods with identification strategies
by: Lopes, Ronaldo, et al.
Published: (2025)
by: Lopes, Ronaldo, et al.
Published: (2025)
Simplex Frank-Wolfe: Linear Convergence and Its Numerical Efficiency for Convex Optimization over Polytopes
by: Wang, Haoning, et al.
Published: (2025)
by: Wang, Haoning, et al.
Published: (2025)
On the asymptotic behavior of a higher-order extrapolation primal-dual interior-point method for nonlinear programming
by: Heeman, Pim, et al.
Published: (2025)
by: Heeman, Pim, et al.
Published: (2025)
On the Convergence of Interior-Point Methods for Bound-Constrained Nonlinear Optimization Problems with Noise
by: Dezfulian, Shima, et al.
Published: (2024)
by: Dezfulian, Shima, et al.
Published: (2024)
$Q$-fully Quadratic Modeling and its Application in a Random Subspace Derivative-free Method
by: Chen, Yiwen, et al.
Published: (2023)
by: Chen, Yiwen, et al.
Published: (2023)
Optimization in Theory and Practice
by: Wright, Stephen J.
Published: (2025)
by: Wright, Stephen J.
Published: (2025)
Bregman Stochastic Proximal Point Algorithm with Variance Reduction
by: Traoré, Cheik, et al.
Published: (2025)
by: Traoré, Cheik, et al.
Published: (2025)
HPR-LP: An implementation of an HPR method for solving linear programming
by: Chen, Kaihuang, et al.
Published: (2024)
by: Chen, Kaihuang, et al.
Published: (2024)
Monomial barrier functions for the box-constrained convex optimization problems
by: Fayed, Hatem
Published: (2024)
by: Fayed, Hatem
Published: (2024)
On Solution Uniqueness and Robust Recovery for Sparse Regularization with a Gauge: from Dual Point of View
by: He, Jiahuan, et al.
Published: (2023)
by: He, Jiahuan, et al.
Published: (2023)
The SCIP Optimization Suite 9.0
by: Bolusani, Suresh, et al.
Published: (2024)
by: Bolusani, Suresh, et al.
Published: (2024)
Oracle complexities of augmented Lagrangian methods for nonsmooth manifold optimization
by: Deng, Kangkang, et al.
Published: (2024)
by: Deng, Kangkang, et al.
Published: (2024)
The SCIP Optimization Suite 10.0
by: Hojny, Christopher, et al.
Published: (2025)
by: Hojny, Christopher, et al.
Published: (2025)
Line-search and Adaptive Step Sizes for Nonconvex-strongly-concave Minimax Optimization
by: Ma, Bohao, et al.
Published: (2026)
by: Ma, Bohao, et al.
Published: (2026)
A MINRES-based Linesearch Algorithm for Nonconvex Optimization with Non-positive Curvature Detection
by: Zeng, Hanfeng, et al.
Published: (2026)
by: Zeng, Hanfeng, et al.
Published: (2026)
On a globally convergent semismooth* Newton method in nonsmooth nonconvex optimization
by: Gfrerer, H.
Published: (2024)
by: Gfrerer, H.
Published: (2024)
CLARSTA: A random subspace trust-region algorithm for convex-constrained derivative-free optimization
by: Chen, Yiwen, et al.
Published: (2025)
by: Chen, Yiwen, et al.
Published: (2025)
Time-integrated Optimal Transport: A Robust Minimax Framework
by: Nguyen, Thai P. D., et al.
Published: (2025)
by: Nguyen, Thai P. D., et al.
Published: (2025)
Anderson Accelerated Primal-Dual Hybrid Gradient for solving LP
by: Zhou, Yingxin, et al.
Published: (2025)
by: Zhou, Yingxin, et al.
Published: (2025)
Semi-Monotone Goldstein Line Search Strategy with Application in Sparse Recovery
by: Shabani, Shima, et al.
Published: (2025)
by: Shabani, Shima, et al.
Published: (2025)
Nonlinear Derivative-free Constrained Optimization with a Penalty-Interior Point Method and Direct Search
by: Brilli, Andrea, et al.
Published: (2024)
by: Brilli, Andrea, et al.
Published: (2024)
Efficiency and Convergence Insights in Large-Scale Optimization Using the Improved Inexact-Newton-Smart Algorithm and Interior-Point Framework
by: Renani, Neda Bagheri, et al.
Published: (2025)
by: Renani, Neda Bagheri, et al.
Published: (2025)
On Difference-of-SOS and Difference-of-Convex-SOS Decompositions for Polynomials
by: Niu, Yi-Shuai, et al.
Published: (2018)
by: Niu, Yi-Shuai, et al.
Published: (2018)
A non-monotone trust-region method with noisy oracles and additional sampling
by: Krejic, Natasa, et al.
Published: (2023)
by: Krejic, Natasa, et al.
Published: (2023)
A linesearch-type normal map-based semismooth Newton method for nonsmooth nonconvex composite optimization
by: Zeng, Hanfeng, et al.
Published: (2026)
by: Zeng, Hanfeng, et al.
Published: (2026)
Mixed-integer linearity in nonlinear optimization: a trust region approach
by: De Marchi, Alberto
Published: (2023)
by: De Marchi, Alberto
Published: (2023)
Variational Properties of Decomposable Functions. Part I: Strict Epi-Calculus and Applications
by: Ouyang, Wenqing, et al.
Published: (2023)
by: Ouyang, Wenqing, et al.
Published: (2023)
A Lasry-Lions envelope approach for mathematical programs with complementarity constraints
by: Wang, Jia, et al.
Published: (2025)
by: Wang, Jia, et al.
Published: (2025)
Randomized block proximal method with locally Lipschitz continuous gradient
by: Pérez-Aros, Pedro, et al.
Published: (2025)
by: Pérez-Aros, Pedro, et al.
Published: (2025)
Variational Properties of Decomposable Functions. Part II: Strong Second-Order Theory
by: Ouyang, Wenqing, et al.
Published: (2023)
by: Ouyang, Wenqing, et al.
Published: (2023)
On the convergence of proximal gradient methods for convex simple bilevel optimization
by: Latafat, Puya, et al.
Published: (2023)
by: Latafat, Puya, et al.
Published: (2023)
Hybrid optimal control with mixed-integer Lagrangian methods
by: Nikitina, Viktoriya, et al.
Published: (2024)
by: Nikitina, Viktoriya, et al.
Published: (2024)
Affordable mixed-integer Lagrangian methods: optimality conditions and convergence analysis
by: De Marchi, Alberto
Published: (2024)
by: De Marchi, Alberto
Published: (2024)
General Optimal Step-size for ADMM-type Algorithms: Domain Parametrization and Optimal Rates
by: Ran, Yifan
Published: (2023)
by: Ran, Yifan
Published: (2023)
A globalization of L-BFGS and the Barzilai-Borwein method for nonconvex unconstrained optimization
by: Mannel, Florian
Published: (2024)
by: Mannel, Florian
Published: (2024)
Similar Items
-
Distributed Parallel Structure-Aware Presolving for Arrowhead Linear Programs
by: Kempke, Nils-Christian, et al.
Published: (2026) -
On the Relationships among GPU-Accelerated First-Order Methods for Solving Linear Programming
by: Chen, Kaihuang, et al.
Published: (2025) -
Accelerated Gradient Methods with Gradient Restart: Global Linear Convergence
by: Bao, Chenglong, et al.
Published: (2024) -
Inexact Riemannian Gradient Descent Method for Nonconvex Optimization
by: Zhou, Juan, et al.
Published: (2024) -
The Global R-linear Convergence of Nesterov's Accelerated Gradient Method with Unknown Strongly Convex Parameter
by: Bao, Chenglong, et al.
Published: (2023)