Repeated randomized algorithm for the Multicovering Problem Article Swipe
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2101.09080
Let $\mathcal{H}=(V,\mathcal{E})$ be a hypergraph with maximum edge size $\ell$ and maximum degree $Δ$. For given numbers $b_v\in \mathbb{N}_{\geq 2}$, $v\in V$, a set multicover in $\mathcal{H}$ is a set of edges $C \subseteq \mathcal{E}$ such that every vertex $v$ in $V$ belongs to at least $b_v$ edges in $C$. Set multicover is the problem of finding a minimum-cardinality set multicover. Peleg, Schechtman and Wool conjectured that unless $\cal{P} =\cal{NP}$, for any fixed $Δ$ and $b:=\min_{v\in V}b_{v}$, no polynomial-time approximation algorithm for the Set multicover problem has an approximation ratio less than $δ:=Δ-b+1$. Hence, it's a challenge to know whether the problem of set multicover is not approximable within a ratio of $βδ$ with a constant $β<1$. This paper proposes a repeated randomized algorithm for the Set multicover problem combined with an initial deterministic threshold step. Boosting success by repeated trials, our algorithm yields an approximation ratio of $ \max\left\{ \frac{15}{16}δ, \left(1- \frac{(b-1)\exp\left(\frac{ 3δ+1}{8}\right)}{72 \ell} \right)δ\right\}$. The crucial fact is not only that our result improves over the approximation ratio presented by Srivastav et al (Algorithmica 2016) for any $δ\geq 13$, but it's more general since we set no restriction on the parameter $\ell$. Furthermore, we prove that it is NP-hard to approximate the Set multicover problem on $Δ$-regular hypergraphs within a factor of $(δ-1-ε)$. Moreover we show that the integrality gap for the Set multicover problem is at least $\frac{\ln_{2}(n+1)}{2b}$, which for constant $b$ is $Ω(\ln n )$.
Related Topics
- Type
- preprint
- Language
- en
- Landing Page
- http://arxiv.org/abs/2101.09080
- https://arxiv.org/pdf/2101.09080
- OA Status
- green
- References
- 19
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3123672655
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W3123672655Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.48550/arxiv.2101.09080Digital Object Identifier
- Title
-
Repeated randomized algorithm for the Multicovering ProblemWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2021Year of publication
- Publication date
-
2021-01-22Full publication date if available
- Authors
-
Abbass Gorgi, Mourad El Ouali, Anand Srivastav, Mohamed HachimiList of authors in order
- Landing page
-
https://arxiv.org/abs/2101.09080Publisher landing page
- PDF URL
-
https://arxiv.org/pdf/2101.09080Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://arxiv.org/pdf/2101.09080Direct OA link when available
- Concepts
-
Combinatorics, Mathematics, Hypergraph, Approximation algorithm, Vertex (graph theory), Cardinality (data modeling), Randomized algorithm, Deterministic algorithm, Discrete mathematics, Graph, Data mining, Computer scienceTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
- References (count)
-
19Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W3123672655 |
|---|---|
| doi | https://doi.org/10.48550/arxiv.2101.09080 |
| ids.doi | https://doi.org/10.48550/arxiv.2101.09080 |
| ids.mag | 3123672655 |
| ids.openalex | https://openalex.org/W3123672655 |
| fwci | |
| type | preprint |
| title | Repeated randomized algorithm for the Multicovering Problem |
| biblio.issue | |
| biblio.volume | |
| biblio.last_page | |
| biblio.first_page | |
| topics[0].id | https://openalex.org/T10720 |
| topics[0].field.id | https://openalex.org/fields/17 |
| topics[0].field.display_name | Computer Science |
| topics[0].score | 0.9998999834060669 |
| topics[0].domain.id | https://openalex.org/domains/3 |
| topics[0].domain.display_name | Physical Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/1703 |
| topics[0].subfield.display_name | Computational Theory and Mathematics |
| topics[0].display_name | Complexity and Algorithms in Graphs |
| topics[1].id | https://openalex.org/T10996 |
| topics[1].field.id | https://openalex.org/fields/17 |
| topics[1].field.display_name | Computer Science |
| topics[1].score | 0.9997000098228455 |
| topics[1].domain.id | https://openalex.org/domains/3 |
| topics[1].domain.display_name | Physical Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/1704 |
| topics[1].subfield.display_name | Computer Graphics and Computer-Aided Design |
| topics[1].display_name | Computational Geometry and Mesh Generation |
| topics[2].id | https://openalex.org/T12288 |
| topics[2].field.id | https://openalex.org/fields/17 |
| topics[2].field.display_name | Computer Science |
| topics[2].score | 0.9994999766349792 |
| topics[2].domain.id | https://openalex.org/domains/3 |
| topics[2].domain.display_name | Physical Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/1705 |
| topics[2].subfield.display_name | Computer Networks and Communications |
| topics[2].display_name | Optimization and Search Problems |
| is_xpac | False |
| apc_list | |
| apc_paid | |
| concepts[0].id | https://openalex.org/C114614502 |
| concepts[0].level | 1 |
| concepts[0].score | 0.8322625160217285 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q76592 |
| concepts[0].display_name | Combinatorics |
| concepts[1].id | https://openalex.org/C33923547 |
| concepts[1].level | 0 |
| concepts[1].score | 0.7410855889320374 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q395 |
| concepts[1].display_name | Mathematics |
| concepts[2].id | https://openalex.org/C2781221856 |
| concepts[2].level | 2 |
| concepts[2].score | 0.7005494236946106 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q840247 |
| concepts[2].display_name | Hypergraph |
| concepts[3].id | https://openalex.org/C148764684 |
| concepts[3].level | 2 |
| concepts[3].score | 0.5571314692497253 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q621751 |
| concepts[3].display_name | Approximation algorithm |
| concepts[4].id | https://openalex.org/C80899671 |
| concepts[4].level | 3 |
| concepts[4].score | 0.5040358901023865 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q1304193 |
| concepts[4].display_name | Vertex (graph theory) |
| concepts[5].id | https://openalex.org/C87117476 |
| concepts[5].level | 2 |
| concepts[5].score | 0.483936607837677 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q362383 |
| concepts[5].display_name | Cardinality (data modeling) |
| concepts[6].id | https://openalex.org/C128669082 |
| concepts[6].level | 2 |
| concepts[6].score | 0.48307111859321594 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q583461 |
| concepts[6].display_name | Randomized algorithm |
| concepts[7].id | https://openalex.org/C13533509 |
| concepts[7].level | 2 |
| concepts[7].score | 0.44417789578437805 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q1064349 |
| concepts[7].display_name | Deterministic algorithm |
| concepts[8].id | https://openalex.org/C118615104 |
| concepts[8].level | 1 |
| concepts[8].score | 0.4121795892715454 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q121416 |
| concepts[8].display_name | Discrete mathematics |
| concepts[9].id | https://openalex.org/C132525143 |
| concepts[9].level | 2 |
| concepts[9].score | 0.28218787908554077 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q141488 |
| concepts[9].display_name | Graph |
| concepts[10].id | https://openalex.org/C124101348 |
| concepts[10].level | 1 |
| concepts[10].score | 0.0 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q172491 |
| concepts[10].display_name | Data mining |
| concepts[11].id | https://openalex.org/C41008148 |
| concepts[11].level | 0 |
| concepts[11].score | 0.0 |
| concepts[11].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[11].display_name | Computer science |
| keywords[0].id | https://openalex.org/keywords/combinatorics |
| keywords[0].score | 0.8322625160217285 |
| keywords[0].display_name | Combinatorics |
| keywords[1].id | https://openalex.org/keywords/mathematics |
| keywords[1].score | 0.7410855889320374 |
| keywords[1].display_name | Mathematics |
| keywords[2].id | https://openalex.org/keywords/hypergraph |
| keywords[2].score | 0.7005494236946106 |
| keywords[2].display_name | Hypergraph |
| keywords[3].id | https://openalex.org/keywords/approximation-algorithm |
| keywords[3].score | 0.5571314692497253 |
| keywords[3].display_name | Approximation algorithm |
| keywords[4].id | https://openalex.org/keywords/vertex |
| keywords[4].score | 0.5040358901023865 |
| keywords[4].display_name | Vertex (graph theory) |
| keywords[5].id | https://openalex.org/keywords/cardinality |
| keywords[5].score | 0.483936607837677 |
| keywords[5].display_name | Cardinality (data modeling) |
| keywords[6].id | https://openalex.org/keywords/randomized-algorithm |
| keywords[6].score | 0.48307111859321594 |
| keywords[6].display_name | Randomized algorithm |
| keywords[7].id | https://openalex.org/keywords/deterministic-algorithm |
| keywords[7].score | 0.44417789578437805 |
| keywords[7].display_name | Deterministic algorithm |
| keywords[8].id | https://openalex.org/keywords/discrete-mathematics |
| keywords[8].score | 0.4121795892715454 |
| keywords[8].display_name | Discrete mathematics |
| keywords[9].id | https://openalex.org/keywords/graph |
| keywords[9].score | 0.28218787908554077 |
| keywords[9].display_name | Graph |
| language | en |
| locations[0].id | pmh:oai:arXiv.org:2101.09080 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S4306400194 |
| locations[0].source.issn | |
| locations[0].source.type | repository |
| locations[0].source.is_oa | True |
| locations[0].source.issn_l | |
| locations[0].source.is_core | False |
| locations[0].source.is_in_doaj | False |
| locations[0].source.display_name | arXiv (Cornell University) |
| locations[0].source.host_organization | https://openalex.org/I205783295 |
| locations[0].source.host_organization_name | Cornell University |
| locations[0].source.host_organization_lineage | https://openalex.org/I205783295 |
| locations[0].license | |
| locations[0].pdf_url | https://arxiv.org/pdf/2101.09080 |
| locations[0].version | submittedVersion |
| locations[0].raw_type | text |
| locations[0].license_id | |
| locations[0].is_accepted | False |
| locations[0].is_published | False |
| locations[0].raw_source_name | |
| locations[0].landing_page_url | http://arxiv.org/abs/2101.09080 |
| locations[1].id | doi:10.48550/arxiv.2101.09080 |
| locations[1].is_oa | True |
| locations[1].source.id | https://openalex.org/S4306400194 |
| locations[1].source.issn | |
| locations[1].source.type | repository |
| locations[1].source.is_oa | True |
| locations[1].source.issn_l | |
| locations[1].source.is_core | False |
| locations[1].source.is_in_doaj | False |
| locations[1].source.display_name | arXiv (Cornell University) |
| locations[1].source.host_organization | https://openalex.org/I205783295 |
| locations[1].source.host_organization_name | Cornell University |
| locations[1].source.host_organization_lineage | https://openalex.org/I205783295 |
| locations[1].license | cc-by |
| locations[1].pdf_url | |
| locations[1].version | |
| locations[1].raw_type | article |
| locations[1].license_id | https://openalex.org/licenses/cc-by |
| locations[1].is_accepted | False |
| locations[1].is_published | |
| locations[1].raw_source_name | |
| locations[1].landing_page_url | https://doi.org/10.48550/arxiv.2101.09080 |
| indexed_in | arxiv, datacite |
| authorships[0].author.id | https://openalex.org/A5083121180 |
| authorships[0].author.orcid | https://orcid.org/0000-0003-0176-7898 |
| authorships[0].author.display_name | Abbass Gorgi |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Abbass Gorgi |
| authorships[0].is_corresponding | False |
| authorships[1].author.id | https://openalex.org/A5057847653 |
| authorships[1].author.orcid | |
| authorships[1].author.display_name | Mourad El Ouali |
| authorships[1].countries | DE |
| authorships[1].affiliations[0].institution_ids | https://openalex.org/I32021983 |
| authorships[1].affiliations[0].raw_affiliation_string | University of Kiel, |
| authorships[1].institutions[0].id | https://openalex.org/I32021983 |
| authorships[1].institutions[0].ror | https://ror.org/04v76ef78 |
| authorships[1].institutions[0].type | education |
| authorships[1].institutions[0].lineage | https://openalex.org/I32021983 |
| authorships[1].institutions[0].country_code | DE |
| authorships[1].institutions[0].display_name | Christian-Albrechts-Universität zu Kiel |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Mourad El Ouali |
| authorships[1].is_corresponding | False |
| authorships[1].raw_affiliation_strings | University of Kiel, |
| authorships[2].author.id | https://openalex.org/A5108463602 |
| authorships[2].author.orcid | |
| authorships[2].author.display_name | Anand Srivastav |
| authorships[2].countries | DE |
| authorships[2].affiliations[0].institution_ids | https://openalex.org/I32021983 |
| authorships[2].affiliations[0].raw_affiliation_string | University of Kiel, |
| authorships[2].institutions[0].id | https://openalex.org/I32021983 |
| authorships[2].institutions[0].ror | https://ror.org/04v76ef78 |
| authorships[2].institutions[0].type | education |
| authorships[2].institutions[0].lineage | https://openalex.org/I32021983 |
| authorships[2].institutions[0].country_code | DE |
| authorships[2].institutions[0].display_name | Christian-Albrechts-Universität zu Kiel |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Anand Srivastav |
| authorships[2].is_corresponding | False |
| authorships[2].raw_affiliation_strings | University of Kiel, |
| authorships[3].author.id | https://openalex.org/A5088223296 |
| authorships[3].author.orcid | https://orcid.org/0000-0002-5441-9531 |
| authorships[3].author.display_name | Mohamed Hachimi |
| authorships[3].countries | MA |
| authorships[3].affiliations[0].institution_ids | https://openalex.org/I4210088687 |
| authorships[3].affiliations[0].raw_affiliation_string | Ibn Zohr University |
| authorships[3].institutions[0].id | https://openalex.org/I4210088687 |
| authorships[3].institutions[0].ror | https://ror.org/006sgpv47 |
| authorships[3].institutions[0].type | education |
| authorships[3].institutions[0].lineage | https://openalex.org/I4210088687 |
| authorships[3].institutions[0].country_code | MA |
| authorships[3].institutions[0].display_name | Université Ibn Zohr |
| authorships[3].author_position | last |
| authorships[3].raw_author_name | Mohamed Hachimi |
| authorships[3].is_corresponding | False |
| authorships[3].raw_affiliation_strings | Ibn Zohr University |
| has_content.pdf | False |
| has_content.grobid_xml | False |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://arxiv.org/pdf/2101.09080 |
| open_access.oa_status | green |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | Repeated randomized algorithm for the Multicovering Problem |
| has_fulltext | False |
| is_retracted | False |
| updated_date | 2025-11-06T06:51:31.235846 |
| primary_topic.id | https://openalex.org/T10720 |
| primary_topic.field.id | https://openalex.org/fields/17 |
| primary_topic.field.display_name | Computer Science |
| primary_topic.score | 0.9998999834060669 |
| primary_topic.domain.id | https://openalex.org/domains/3 |
| primary_topic.domain.display_name | Physical Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/1703 |
| primary_topic.subfield.display_name | Computational Theory and Mathematics |
| primary_topic.display_name | Complexity and Algorithms in Graphs |
| related_works | https://openalex.org/W2174440985, https://openalex.org/W2112526268, https://openalex.org/W1964089073, https://openalex.org/W2011643166, https://openalex.org/W4388968519, https://openalex.org/W2005018956, https://openalex.org/W4293997817, https://openalex.org/W4313343266, https://openalex.org/W2244037217, https://openalex.org/W2051253470 |
| cited_by_count | 0 |
| locations_count | 2 |
| best_oa_location.id | pmh:oai:arXiv.org:2101.09080 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S4306400194 |
| best_oa_location.source.issn | |
| best_oa_location.source.type | repository |
| best_oa_location.source.is_oa | True |
| best_oa_location.source.issn_l | |
| best_oa_location.source.is_core | False |
| best_oa_location.source.is_in_doaj | False |
| best_oa_location.source.display_name | arXiv (Cornell University) |
| best_oa_location.source.host_organization | https://openalex.org/I205783295 |
| best_oa_location.source.host_organization_name | Cornell University |
| best_oa_location.source.host_organization_lineage | https://openalex.org/I205783295 |
| best_oa_location.license | |
| best_oa_location.pdf_url | https://arxiv.org/pdf/2101.09080 |
| best_oa_location.version | submittedVersion |
| best_oa_location.raw_type | text |
| best_oa_location.license_id | |
| best_oa_location.is_accepted | False |
| best_oa_location.is_published | False |
| best_oa_location.raw_source_name | |
| best_oa_location.landing_page_url | http://arxiv.org/abs/2101.09080 |
| primary_location.id | pmh:oai:arXiv.org:2101.09080 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S4306400194 |
| primary_location.source.issn | |
| primary_location.source.type | repository |
| primary_location.source.is_oa | True |
| primary_location.source.issn_l | |
| primary_location.source.is_core | False |
| primary_location.source.is_in_doaj | False |
| primary_location.source.display_name | arXiv (Cornell University) |
| primary_location.source.host_organization | https://openalex.org/I205783295 |
| primary_location.source.host_organization_name | Cornell University |
| primary_location.source.host_organization_lineage | https://openalex.org/I205783295 |
| primary_location.license | |
| primary_location.pdf_url | https://arxiv.org/pdf/2101.09080 |
| primary_location.version | submittedVersion |
| primary_location.raw_type | text |
| primary_location.license_id | |
| primary_location.is_accepted | False |
| primary_location.is_published | False |
| primary_location.raw_source_name | |
| primary_location.landing_page_url | http://arxiv.org/abs/2101.09080 |
| publication_date | 2021-01-22 |
| publication_year | 2021 |
| referenced_works | https://openalex.org/W2611804663, https://openalex.org/W1988837529, https://openalex.org/W2069870307, https://openalex.org/W2070814595, https://openalex.org/W2174359169, https://openalex.org/W3127900374, https://openalex.org/W2037738950, https://openalex.org/W2163322487, https://openalex.org/W2076291992, https://openalex.org/W1621435553, https://openalex.org/W2088188524, https://openalex.org/W2401610261, https://openalex.org/W2054248368, https://openalex.org/W2137118456, https://openalex.org/W2040924621, https://openalex.org/W2240889671, https://openalex.org/W2115404728, https://openalex.org/W2015706819, https://openalex.org/W2295428206 |
| referenced_works_count | 19 |
| abstract_inverted_index.$ | 148 |
| abstract_inverted_index.a | 3, 22, 28, 57, 95, 109, 114, 120, 211 |
| abstract_inverted_index.n | 237 |
| abstract_inverted_index.$C | 32 |
| abstract_inverted_index.al | 174 |
| abstract_inverted_index.an | 87, 131, 144 |
| abstract_inverted_index.at | 44, 228 |
| abstract_inverted_index.be | 2 |
| abstract_inverted_index.by | 138, 171 |
| abstract_inverted_index.et | 173 |
| abstract_inverted_index.in | 25, 40, 48 |
| abstract_inverted_index.is | 27, 52, 105, 159, 199, 227, 235 |
| abstract_inverted_index.it | 198 |
| abstract_inverted_index.no | 77, 188 |
| abstract_inverted_index.of | 30, 55, 102, 111, 147, 213 |
| abstract_inverted_index.on | 190, 207 |
| abstract_inverted_index.to | 43, 97, 201 |
| abstract_inverted_index.we | 186, 195, 216 |
| abstract_inverted_index.$V$ | 41 |
| abstract_inverted_index.$b$ | 234 |
| abstract_inverted_index.$v$ | 39 |
| abstract_inverted_index.)$. | 238 |
| abstract_inverted_index.For | 14 |
| abstract_inverted_index.Let | 0 |
| abstract_inverted_index.Set | 50, 83, 126, 204, 224 |
| abstract_inverted_index.The | 156 |
| abstract_inverted_index.V$, | 21 |
| abstract_inverted_index.and | 10, 63, 74 |
| abstract_inverted_index.any | 71, 178 |
| abstract_inverted_index.but | 181 |
| abstract_inverted_index.for | 70, 81, 124, 177, 222, 232 |
| abstract_inverted_index.gap | 221 |
| abstract_inverted_index.has | 86 |
| abstract_inverted_index.not | 106, 160 |
| abstract_inverted_index.our | 141, 163 |
| abstract_inverted_index.set | 23, 29, 59, 103, 187 |
| abstract_inverted_index.the | 53, 82, 100, 125, 167, 191, 203, 219, 223 |
| abstract_inverted_index.$C$. | 49 |
| abstract_inverted_index.$Δ$ | 73 |
| abstract_inverted_index.13$, | 180 |
| abstract_inverted_index.2}$, | 19 |
| abstract_inverted_index.This | 117 |
| abstract_inverted_index.Wool | 64 |
| abstract_inverted_index.edge | 7 |
| abstract_inverted_index.fact | 158 |
| abstract_inverted_index.it's | 94, 182 |
| abstract_inverted_index.know | 98 |
| abstract_inverted_index.less | 90 |
| abstract_inverted_index.more | 183 |
| abstract_inverted_index.only | 161 |
| abstract_inverted_index.over | 166 |
| abstract_inverted_index.show | 217 |
| abstract_inverted_index.size | 8 |
| abstract_inverted_index.such | 35 |
| abstract_inverted_index.than | 91 |
| abstract_inverted_index.that | 36, 66, 162, 197, 218 |
| abstract_inverted_index.with | 5, 113, 130 |
| abstract_inverted_index.$b_v$ | 46 |
| abstract_inverted_index.$v\in | 20 |
| abstract_inverted_index.$Δ$. | 13 |
| abstract_inverted_index.2016) | 176 |
| abstract_inverted_index.\ell} | 154 |
| abstract_inverted_index.edges | 31, 47 |
| abstract_inverted_index.every | 37 |
| abstract_inverted_index.fixed | 72 |
| abstract_inverted_index.given | 15 |
| abstract_inverted_index.least | 45, 229 |
| abstract_inverted_index.paper | 118 |
| abstract_inverted_index.prove | 196 |
| abstract_inverted_index.ratio | 89, 110, 146, 169 |
| abstract_inverted_index.since | 185 |
| abstract_inverted_index.step. | 135 |
| abstract_inverted_index.which | 231 |
| abstract_inverted_index.$\ell$ | 9 |
| abstract_inverted_index.$βδ$ | 112 |
| abstract_inverted_index.Hence, | 93 |
| abstract_inverted_index.Peleg, | 61 |
| abstract_inverted_index.degree | 12 |
| abstract_inverted_index.factor | 212 |
| abstract_inverted_index.result | 164 |
| abstract_inverted_index.unless | 67 |
| abstract_inverted_index.vertex | 38 |
| abstract_inverted_index.within | 108, 210 |
| abstract_inverted_index.yields | 143 |
| abstract_inverted_index.$\ell$. | 193 |
| abstract_inverted_index.$b_v\in | 17 |
| abstract_inverted_index.$Ω(\ln | 236 |
| abstract_inverted_index.$δ\geq | 179 |
| abstract_inverted_index.NP-hard | 200 |
| abstract_inverted_index.belongs | 42 |
| abstract_inverted_index.crucial | 157 |
| abstract_inverted_index.finding | 56 |
| abstract_inverted_index.general | 184 |
| abstract_inverted_index.initial | 132 |
| abstract_inverted_index.maximum | 6, 11 |
| abstract_inverted_index.numbers | 16 |
| abstract_inverted_index.problem | 54, 85, 101, 128, 206, 226 |
| abstract_inverted_index.success | 137 |
| abstract_inverted_index.trials, | 140 |
| abstract_inverted_index.whether | 99 |
| abstract_inverted_index.$\cal{P} | 68 |
| abstract_inverted_index.Boosting | 136 |
| abstract_inverted_index.Moreover | 215 |
| abstract_inverted_index.\left(1- | 151 |
| abstract_inverted_index.combined | 129 |
| abstract_inverted_index.constant | 115, 233 |
| abstract_inverted_index.improves | 165 |
| abstract_inverted_index.proposes | 119 |
| abstract_inverted_index.repeated | 121, 139 |
| abstract_inverted_index.Srivastav | 172 |
| abstract_inverted_index.V}b_{v}$, | 76 |
| abstract_inverted_index.\subseteq | 33 |
| abstract_inverted_index.algorithm | 80, 123, 142 |
| abstract_inverted_index.challenge | 96 |
| abstract_inverted_index.parameter | 192 |
| abstract_inverted_index.presented | 170 |
| abstract_inverted_index.threshold | 134 |
| abstract_inverted_index.$β<1$. | 116 |
| abstract_inverted_index.Schechtman | 62 |
| abstract_inverted_index.hypergraph | 4 |
| abstract_inverted_index.multicover | 24, 51, 84, 104, 127, 205, 225 |
| abstract_inverted_index.randomized | 122 |
| abstract_inverted_index.=\cal{NP}$, | 69 |
| abstract_inverted_index.\max\left\{ | 149 |
| abstract_inverted_index.approximate | 202 |
| abstract_inverted_index.conjectured | 65 |
| abstract_inverted_index.hypergraphs | 209 |
| abstract_inverted_index.integrality | 220 |
| abstract_inverted_index.multicover. | 60 |
| abstract_inverted_index.restriction | 189 |
| abstract_inverted_index.$(δ-1-ε)$. | 214 |
| abstract_inverted_index.$Δ$-regular | 208 |
| abstract_inverted_index.Furthermore, | 194 |
| abstract_inverted_index.\mathcal{E}$ | 34 |
| abstract_inverted_index.approximable | 107 |
| abstract_inverted_index.$\mathcal{H}$ | 26 |
| abstract_inverted_index.$δ:=Δ-b+1$. | 92 |
| abstract_inverted_index.(Algorithmica | 175 |
| abstract_inverted_index.approximation | 79, 88, 145, 168 |
| abstract_inverted_index.deterministic | 133 |
| abstract_inverted_index.$b:=\min_{v\in | 75 |
| abstract_inverted_index.polynomial-time | 78 |
| abstract_inverted_index.\frac{15}{16}δ, | 150 |
| abstract_inverted_index.\mathbb{N}_{\geq | 18 |
| abstract_inverted_index.\right)δ\right\}$. | 155 |
| abstract_inverted_index.minimum-cardinality | 58 |
| abstract_inverted_index.3δ+1}{8}\right)}{72 | 153 |
| abstract_inverted_index.$\frac{\ln_{2}(n+1)}{2b}$, | 230 |
| abstract_inverted_index.\frac{(b-1)\exp\left(\frac{ | 152 |
| abstract_inverted_index.$\mathcal{H}=(V,\mathcal{E})$ | 1 |
| cited_by_percentile_year | |
| countries_distinct_count | 2 |
| institutions_distinct_count | 4 |
| citation_normalized_percentile |