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20192026
most citedInterior-Point Methods Strike Back: Solving the Wasserstein Barycenter Problem

6 citations · 9 across the 8 of their papers we have counts for

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math.OC2026

Symmetry-dependence in Rounding of a Convex Body

Zikai Xiong, Robert M. Freund

The symmetry measure of a convex body is given by: , where…

math.OC2024

The Role of Level-Set Geometry on the Performance of PDHG for Conic Linear Optimization

Zikai Xiong, Robert M. Freund

We consider solving huge-scale instances of (convex) conic linear optimization problems, at the scale where matrix-factorization-free methods are attractive or necessary. The resta…

math.OC2023

Computational Guarantees for Restarted PDHG for LP based on "Limiting Error Ratios" and LP Sharpness

Zikai Xiong, Robert Michael Freund

In recent years, there has been growing interest in solving linear optimization problems - or more simply "LP" - using first-order methods in order to avoid the costly matrix facto…

math.OC2023

On the Relation Between LP Sharpness and Limiting Error Ratio and Complexity Implications for Restarted PDHG

Zikai Xiong, Robert M. Freund

There has been a recent surge in development of first-order methods (FOMs) for solving huge-scale linear programming (LP) problems. The attractiveness of FOMs for LP stems in part…

math.OC2021★ 1 cited

From an Interior Point to a Corner Point: Smart Crossover

Dongdong Ge, Chengwenjian Wang, Zikai Xiong +1

Identifying optimal basic feasible solutions to linear programming problems is a critical task for mixed integer programming and other applications. The crossover method, which aim…

math.OC2019★ 6 cited

Interior-Point Methods Strike Back: Solving the Wasserstein Barycenter Problem

Dongdong Ge, Haoyue Wang, Zikai Xiong +1

Computing the Wasserstein barycenter of a set of probability measures under the optimal transport metric can quickly become prohibitive for traditional second-order algorithms, suc…