Block Coordinate Descent Network Simplex Methods for Optimal Transport
Fuente:
arXiv
Saved in:
| Main Authors: | Li, Lingrui, Yamashita, Nobuo |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
The Randomized Block Coordinate Descent Method in the Hölder Smooth Setting
by: Maia, Leandro Farias, et al.
Published: (2024)
by: Maia, Leandro Farias, et al.
Published: (2024)
Block Coordinate Descent Methods for Structured Nonconvex Optimization with Nonseparable Constraints: Optimality Conditions and Global Convergence
by: Yuan, Zhijie, et al.
Published: (2024)
by: Yuan, Zhijie, et al.
Published: (2024)
Convergence analysis of a regularized Newton method with generalized regularization terms for convex optimization problems
by: Yamakawa, Yuya, et al.
Published: (2024)
by: Yamakawa, Yuya, et al.
Published: (2024)
Augmented Lagrangian methods for convex optimization with priority constraints via an infeasibility control framework
by: Yamakawa, Yuya, et al.
Published: (2026)
by: Yamakawa, Yuya, et al.
Published: (2026)
Projected Block Coordinate Descent for sparse spike estimation
by: Bénard, Pierre-Jean, et al.
Published: (2024)
by: Bénard, Pierre-Jean, et al.
Published: (2024)
Distributed Stochastic Block Coordinate Descent for Time-Varying Multi-Agent Optimization
by: Yu, Zhan, et al.
Published: (2019)
by: Yu, Zhan, et al.
Published: (2019)
Differentially Private Random Block Coordinate Descent
by: Maranjyan, Artavazd, et al.
Published: (2024)
by: Maranjyan, Artavazd, et al.
Published: (2024)
Provably Convergent Plug-and-play Proximal Block Coordinate Descent Method for Hyperspectral Anomaly Detection
by: Liu, Xiaoxia, et al.
Published: (2024)
by: Liu, Xiaoxia, et al.
Published: (2024)
A strong second-order sequential optimality condition for nonlinear programming problems
by: Li, Huimin, et al.
Published: (2025)
by: Li, Huimin, et al.
Published: (2025)
A Block Coordinate Descent Method for Nonsmooth Composite Optimization under Orthogonality Constraints
by: Yuan, Ganzhao
Published: (2023)
by: Yuan, Ganzhao
Published: (2023)
Block Acceleration Without Momentum: On Optimal Stepsizes of Block Gradient Descent for Least-Squares
by: Peng, Liangzu, et al.
Published: (2024)
by: Peng, Liangzu, et al.
Published: (2024)
On the Worst-Case Analysis of Cyclic Block Coordinate Descent type Algorithms
by: Kamri, Yassine, et al.
Published: (2025)
by: Kamri, Yassine, et al.
Published: (2025)
Stochastic Approximation with Block Coordinate Optimal Stepsizes
by: Jiang, Tao, et al.
Published: (2025)
by: Jiang, Tao, et al.
Published: (2025)
Asynchronous Decentralized SGD under Non-Convexity: A Block-Coordinate Descent Framework
by: Zhou, Yijie, et al.
Published: (2025)
by: Zhou, Yijie, et al.
Published: (2025)
Frictionless Hamiltonian Descent and Coordinate Hamiltonian Descent for Strongly Convex Quadratic Problems
by: Wang, Jun-Kun
Published: (2024)
by: Wang, Jun-Kun
Published: (2024)
Funplex: A Modified Simplex Algorithm to Efficiently Explore Near-Optimal Spaces
by: Funke, Christoph S., et al.
Published: (2024)
by: Funke, Christoph S., et al.
Published: (2024)
SCLP-Simplex Algorithm for Robust Fluid Processing Networks
by: Shindin, Evgeny, et al.
Published: (2024)
by: Shindin, Evgeny, et al.
Published: (2024)
Inexact Bregman Sparse Newton Method for Efficient Optimal Transport
by: Pan, Jianting, et al.
Published: (2026)
by: Pan, Jianting, et al.
Published: (2026)
Asynchronous Distributed Reinforcement Learning for LQR Control via Zeroth-Order Block Coordinate Descent
by: Jing, Gangshan, et al.
Published: (2021)
by: Jing, Gangshan, et al.
Published: (2021)
A Block Coordinate and Variance-Reduced Method for Generalized Variational Inequalities of Minty Type
by: Diakonikolas, Jelena
Published: (2024)
by: Diakonikolas, Jelena
Published: (2024)
Mirror Descent for Deterministic Optimal Control
by: Feng, Ye, et al.
Published: (2026)
by: Feng, Ye, et al.
Published: (2026)
Optimal Convergence Rate for Mirror Descent Methods with special Time-Varying Step Sizes Rules
by: Alkousa, Mohammad, et al.
Published: (2024)
by: Alkousa, Mohammad, et al.
Published: (2024)
Random Coordinate Descent on the Wasserstein Space of Probability Measures
by: Xu, Yewei, et al.
Published: (2026)
by: Xu, Yewei, et al.
Published: (2026)
A Randomized Block-Coordinate Primal-Dual Method for Large-scale Stochastic Saddle Point Problems
by: Hamedani, Erfan Yazdandoost, et al.
Published: (2019)
by: Hamedani, Erfan Yazdandoost, et al.
Published: (2019)
Provable Benefit of Random Permutations over Uniform Sampling in Stochastic Coordinate Descent
by: Kim, Donghwa, et al.
Published: (2025)
by: Kim, Donghwa, et al.
Published: (2025)
A Sequential Descent Method for Global Optimization
by: Tifroute, Mohamed, et al.
Published: (2020)
by: Tifroute, Mohamed, et al.
Published: (2020)
rDSM -- A robust Downhill Simplex Method software package for optimization problems in high dimensions
by: Wang, Tianyu, et al.
Published: (2025)
by: Wang, Tianyu, et al.
Published: (2025)
Beyond Smoothed Analysis: Analyzing the Simplex Method by the Book
by: Bach, Eleon, et al.
Published: (2025)
by: Bach, Eleon, et al.
Published: (2025)
The Method of Infinite Descent
by: Batley, Reza T., et al.
Published: (2025)
by: Batley, Reza T., et al.
Published: (2025)
Decentralized Relaxed Smooth Optimization with Gradient Descent Methods
by: Jiang, Zhanhong, et al.
Published: (2025)
by: Jiang, Zhanhong, et al.
Published: (2025)
Adaptive Accelerated Gradient Descent Methods for Convex Optimization
by: Xu, Zeyi, et al.
Published: (2026)
by: Xu, Zeyi, et al.
Published: (2026)
Computing Stationary Distribution via Dirichlet-Energy Minimization by Coordinate Descent
by: Avrachenkov, Konstantin, et al.
Published: (2026)
by: Avrachenkov, Konstantin, et al.
Published: (2026)
Quantum Hamiltonian Descent based Augmented Lagrangian Method for Constrained Nonconvex Nonlinear Optimization
by: Li, Mingze, et al.
Published: (2025)
by: Li, Mingze, et al.
Published: (2025)
Non-Iterative Solution for Coordinated Optimal Dispatch via Equivalent Projection-Part II: Method and Applications
by: Tan, Zhenfei, et al.
Published: (2023)
by: Tan, Zhenfei, et al.
Published: (2023)
A Strengthened Conjecture on the Minimax Optimal Constant Stepsize for Gradient Descent
by: Grimmer, Benjamin, et al.
Published: (2024)
by: Grimmer, Benjamin, et al.
Published: (2024)
A Proximal Descent Method for Minimizing Weakly Convex Optimization
by: Liao, Feng-Yi, et al.
Published: (2025)
by: Liao, Feng-Yi, et al.
Published: (2025)
Heuristic Optimal Transport in Branching Networks
by: Andrecut, M.
Published: (2023)
by: Andrecut, M.
Published: (2023)
An Optimal Transport Approach for Network Regression
by: Zalles, Alex G., et al.
Published: (2024)
by: Zalles, Alex G., et al.
Published: (2024)
Primal-dual Accelerated Mirror-Descent Method for Constrained Bilinear Saddle-Point Problems
by: Li, Weijian, et al.
Published: (2024)
by: Li, Weijian, et al.
Published: (2024)
New merit functions for multiobjective optimization and their properties
by: Tanabe, Hiroki, et al.
Published: (2020)
by: Tanabe, Hiroki, et al.
Published: (2020)
Similar Items
-
The Randomized Block Coordinate Descent Method in the Hölder Smooth Setting
by: Maia, Leandro Farias, et al.
Published: (2024) -
Block Coordinate Descent Methods for Structured Nonconvex Optimization with Nonseparable Constraints: Optimality Conditions and Global Convergence
by: Yuan, Zhijie, et al.
Published: (2024) -
Convergence analysis of a regularized Newton method with generalized regularization terms for convex optimization problems
by: Yamakawa, Yuya, et al.
Published: (2024) -
Augmented Lagrangian methods for convex optimization with priority constraints via an infeasibility control framework
by: Yamakawa, Yuya, et al.
Published: (2026) -
Projected Block Coordinate Descent for sparse spike estimation
by: Bénard, Pierre-Jean, et al.
Published: (2024)