Fractional Linear Matroid Matching is in quasi-NC

Fuente: arXiv
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Autores principales: Gurjar, Rohit, Oki, Taihei, Raj, Roshan
Formato: Preprint
Publicado: 2024
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author Gurjar, Rohit
Oki, Taihei
Raj, Roshan
author_facet Gurjar, Rohit
Oki, Taihei
Raj, Roshan
contents The matching and linear matroid intersection problems are solvable in quasi-NC, meaning that there exist deterministic algorithms that run in polylogarithmic time and use quasi-polynomially many parallel processors. However, such a parallel algorithm is unknown for linear matroid matching, which generalizes both of these problems. In this work, we propose a quasi-NC algorithm for fractional linear matroid matching, which is a relaxation of linear matroid matching and commonly generalizes fractional matching and linear matroid intersection. Our algorithm builds upon the connection of fractional matroid matching to non-commutative Edmonds' problem recently revealed by Oki and Soma~(2023). As a corollary, we also solve black-box non-commutative Edmonds' problem with rank-two skew-symmetric coefficients.
format Preprint
id arxiv_https___arxiv_org_abs_2402_18276
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Fractional Linear Matroid Matching is in quasi-NC
Gurjar, Rohit
Oki, Taihei
Raj, Roshan
Computational Complexity
Discrete Mathematics
Data Structures and Algorithms
The matching and linear matroid intersection problems are solvable in quasi-NC, meaning that there exist deterministic algorithms that run in polylogarithmic time and use quasi-polynomially many parallel processors. However, such a parallel algorithm is unknown for linear matroid matching, which generalizes both of these problems. In this work, we propose a quasi-NC algorithm for fractional linear matroid matching, which is a relaxation of linear matroid matching and commonly generalizes fractional matching and linear matroid intersection. Our algorithm builds upon the connection of fractional matroid matching to non-commutative Edmonds' problem recently revealed by Oki and Soma~(2023). As a corollary, we also solve black-box non-commutative Edmonds' problem with rank-two skew-symmetric coefficients.
title Fractional Linear Matroid Matching is in quasi-NC
topic Computational Complexity
Discrete Mathematics
Data Structures and Algorithms
url https://arxiv.org/abs/2402.18276