Deterministic Minimum Steiner Cut in Maximum Flow Time

Fuente: arXiv
Guardado en:
Detalles Bibliográficos
Autores principales: Ding, Matthew, Li, Jason
Formato: Preprint
Publicado: 2023
Materias:
Acceso en línea:
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
_version_ 1866911939482877952
author Ding, Matthew
Li, Jason
author_facet Ding, Matthew
Li, Jason
contents We devise a deterministic algorithm for minimum Steiner cut, which uses $(\log n)^{O(1)}$ maximum flow calls and additional near-linear time. This algorithm improves on Li and Panigrahi's (FOCS 2020) algorithm, which uses $(\log n)^{O(1/ε^4)}$ maximum flow calls and additional $O(m^{1+ε})$ time, for $ε> 0$. Our algorithm thus shows that deterministic minimum Steiner cut can be solved in maximum flow time up to polylogarithmic factors, given any black-box deterministic maximum flow algorithm. Our main technical contribution is a novel deterministic graph decomposition method for terminal vertices that generalizes all existing $s$-strong partitioning methods, which we believe may have future applications.
format Preprint
id arxiv_https___arxiv_org_abs_2312_16415
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Deterministic Minimum Steiner Cut in Maximum Flow Time
Ding, Matthew
Li, Jason
Data Structures and Algorithms
Discrete Mathematics
G.2.2; F.2.2
We devise a deterministic algorithm for minimum Steiner cut, which uses $(\log n)^{O(1)}$ maximum flow calls and additional near-linear time. This algorithm improves on Li and Panigrahi's (FOCS 2020) algorithm, which uses $(\log n)^{O(1/ε^4)}$ maximum flow calls and additional $O(m^{1+ε})$ time, for $ε> 0$. Our algorithm thus shows that deterministic minimum Steiner cut can be solved in maximum flow time up to polylogarithmic factors, given any black-box deterministic maximum flow algorithm. Our main technical contribution is a novel deterministic graph decomposition method for terminal vertices that generalizes all existing $s$-strong partitioning methods, which we believe may have future applications.
title Deterministic Minimum Steiner Cut in Maximum Flow Time
topic Data Structures and Algorithms
Discrete Mathematics
G.2.2; F.2.2
url https://arxiv.org/abs/2312.16415