Exact Matching in Matrix Multiplication Time
Ryotaro Sato, Yutaro Yamaguchi

TL;DR
This paper demonstrates that the exact matching problem can be solved with high probability in asymptotic time comparable to matrix multiplication, leveraging algebraic algorithms and characteristic polynomial computations.
Contribution
It shows that exact matching can be achieved efficiently using algebraic methods, extending to the linear matroid parity problem, with potential improvements in algorithmic complexity.
Findings
Exact matching solvable in near matrix multiplication time
High probability algorithms for algebraic matching problems
Extension to linear matroid parity problem
Abstract
Initiated by Mulmuley, Vazirani, and Vazirani (1987), many algebraic algorithms have been developed for matching and related problems. In this paper, we review basic facts and discuss possible improvements with the aid of fast computation of the characteristic polynomial of a matrix. In particular, we show that the so-called exact matching problem can be solved with high probability in asymptotically the same time order as matrix multiplication. We also discuss its extension to the linear matroid parity problem.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
