Total Matching and Subdeterminants
In the total matching problem, one is given a graph $G$ with weights on the vertices and edges. The goal is to find a maximum weight set of vertices and edges that is the non-incident union of a stable set and a matching. We consider the natural formulation of the problem as an integer program (IP),...
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creator | Ferrarini, Luca Fiorini, Samuel Kober, Stefan Yuditsky, Yelena |
description | In the total matching problem, one is given a graph $G$ with weights on the
vertices and edges. The goal is to find a maximum weight set of vertices and
edges that is the non-incident union of a stable set and a matching.
We consider the natural formulation of the problem as an integer program
(IP), with variables corresponding to vertices and edges. Let $M = M(G)$ denote
the constraint matrix of this IP. We define $\Delta(G)$ as the maximum absolute
value of the determinant of a square submatrix of $M$.
We show that the total matching problem can be solved in strongly polynomial
time provided $\Delta(G) \leq \Delta$ for some constant $\Delta \in
\mathbb{Z}_{\ge 1}$. We also show that the problem of computing $\Delta(G)$
admits an FPT algorithm. We also establish further results on $\Delta(G)$ when
$G$ is a forest. |
doi_str_mv | 10.48550/arxiv.2312.17630 |
format | Article |
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vertices and edges. The goal is to find a maximum weight set of vertices and
edges that is the non-incident union of a stable set and a matching.
We consider the natural formulation of the problem as an integer program
(IP), with variables corresponding to vertices and edges. Let $M = M(G)$ denote
the constraint matrix of this IP. We define $\Delta(G)$ as the maximum absolute
value of the determinant of a square submatrix of $M$.
We show that the total matching problem can be solved in strongly polynomial
time provided $\Delta(G) \leq \Delta$ for some constant $\Delta \in
\mathbb{Z}_{\ge 1}$. We also show that the problem of computing $\Delta(G)$
admits an FPT algorithm. We also establish further results on $\Delta(G)$ when
$G$ is a forest.</description><identifier>DOI: 10.48550/arxiv.2312.17630</identifier><language>eng</language><subject>Computer Science - Data Structures and Algorithms ; Computer Science - Discrete Mathematics ; Mathematics - Combinatorics ; Mathematics - Optimization and Control</subject><creationdate>2023-12</creationdate><rights>http://arxiv.org/licenses/nonexclusive-distrib/1.0</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>228,230,776,881</link.rule.ids><linktorsrc>$$Uhttps://arxiv.org/abs/2312.17630$$EView_record_in_Cornell_University$$FView_record_in_$$GCornell_University$$Hfree_for_read</linktorsrc><backlink>$$Uhttps://doi.org/10.48550/arXiv.2312.17630$$DView paper in arXiv$$Hfree_for_read</backlink></links><search><creatorcontrib>Ferrarini, Luca</creatorcontrib><creatorcontrib>Fiorini, Samuel</creatorcontrib><creatorcontrib>Kober, Stefan</creatorcontrib><creatorcontrib>Yuditsky, Yelena</creatorcontrib><title>Total Matching and Subdeterminants</title><description>In the total matching problem, one is given a graph $G$ with weights on the
vertices and edges. The goal is to find a maximum weight set of vertices and
edges that is the non-incident union of a stable set and a matching.
We consider the natural formulation of the problem as an integer program
(IP), with variables corresponding to vertices and edges. Let $M = M(G)$ denote
the constraint matrix of this IP. We define $\Delta(G)$ as the maximum absolute
value of the determinant of a square submatrix of $M$.
We show that the total matching problem can be solved in strongly polynomial
time provided $\Delta(G) \leq \Delta$ for some constant $\Delta \in
\mathbb{Z}_{\ge 1}$. We also show that the problem of computing $\Delta(G)$
admits an FPT algorithm. We also establish further results on $\Delta(G)$ when
$G$ is a forest.</description><subject>Computer Science - Data Structures and Algorithms</subject><subject>Computer Science - Discrete Mathematics</subject><subject>Mathematics - Combinatorics</subject><subject>Mathematics - Optimization and Control</subject><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>GOX</sourceid><recordid>eNotzrsOgkAURdFpLIz6AVYSe_Ayb0pDfCUYC-nJHWdQEkADaPTvVbQ6yS5OFiHTEAKuhYAFNs_iEVAW0iBUksGQzNNrh6W3x-50Keqzh7X1jndjXeeaqqix7toxGeRYtm7y3xFJ16s03vrJYbOLl4mPUoFvc2AWBXM8ogoF5UZ8Ug5UCARzUtqEPHeRoqC5FM5ySYGBjDQYrZBaNiKz322PzG5NUWHzyr7YrMeyNw8oN_o</recordid><startdate>20231229</startdate><enddate>20231229</enddate><creator>Ferrarini, Luca</creator><creator>Fiorini, Samuel</creator><creator>Kober, Stefan</creator><creator>Yuditsky, Yelena</creator><scope>AKY</scope><scope>AKZ</scope><scope>GOX</scope></search><sort><creationdate>20231229</creationdate><title>Total Matching and Subdeterminants</title><author>Ferrarini, Luca ; Fiorini, Samuel ; Kober, Stefan ; Yuditsky, Yelena</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a670-df03da53e4927a524b5df0f0255a0bc78b14fe97208465ed4620306980b87a2d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Computer Science - Data Structures and Algorithms</topic><topic>Computer Science - Discrete Mathematics</topic><topic>Mathematics - Combinatorics</topic><topic>Mathematics - Optimization and Control</topic><toplevel>online_resources</toplevel><creatorcontrib>Ferrarini, Luca</creatorcontrib><creatorcontrib>Fiorini, Samuel</creatorcontrib><creatorcontrib>Kober, Stefan</creatorcontrib><creatorcontrib>Yuditsky, Yelena</creatorcontrib><collection>arXiv Computer Science</collection><collection>arXiv Mathematics</collection><collection>arXiv.org</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Ferrarini, Luca</au><au>Fiorini, Samuel</au><au>Kober, Stefan</au><au>Yuditsky, Yelena</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Total Matching and Subdeterminants</atitle><date>2023-12-29</date><risdate>2023</risdate><abstract>In the total matching problem, one is given a graph $G$ with weights on the
vertices and edges. The goal is to find a maximum weight set of vertices and
edges that is the non-incident union of a stable set and a matching.
We consider the natural formulation of the problem as an integer program
(IP), with variables corresponding to vertices and edges. Let $M = M(G)$ denote
the constraint matrix of this IP. We define $\Delta(G)$ as the maximum absolute
value of the determinant of a square submatrix of $M$.
We show that the total matching problem can be solved in strongly polynomial
time provided $\Delta(G) \leq \Delta$ for some constant $\Delta \in
\mathbb{Z}_{\ge 1}$. We also show that the problem of computing $\Delta(G)$
admits an FPT algorithm. We also establish further results on $\Delta(G)$ when
$G$ is a forest.</abstract><doi>10.48550/arxiv.2312.17630</doi><oa>free_for_read</oa></addata></record> |
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subjects | Computer Science - Data Structures and Algorithms Computer Science - Discrete Mathematics Mathematics - Combinatorics Mathematics - Optimization and Control |
title | Total Matching and Subdeterminants |
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