Shortest Paths in Graphs of Convex Sets Article Swipe
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1137/22m1523790
Given a graph, the shortest-path problem requires finding a sequence of edges\nwith minimum cumulative length that connects a source vertex to a target\nvertex. We consider a variant of this classical problem in which the position\nof each vertex in the graph is a continuous decision variable constrained in a\nconvex set, and the length of an edge is a convex function of the position of\nits endpoints. Problems of this form arise naturally in many areas, from motion\nplanning of autonomous vehicles to optimal control of hybrid systems. The price\nfor such a wide applicability is the complexity of this problem, which is\neasily seen to be NP-hard. Our main contribution is a strong and lightweight\nmixed-integer convex formulation based on perspective operators, that makes it\npossible to efficiently find globally optimal paths in large graphs and in\nhigh-dimensional spaces.\n
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1137/22m1523790
- OA Status
- green
- Cited By
- 44
- References
- 105
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3123076862
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W3123076862Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1137/22m1523790Digital Object Identifier
- Title
-
Shortest Paths in Graphs of Convex SetsWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-02-01Full publication date if available
- Authors
-
Tobia Marcucci, Jack Umenberger, Pablo A. Parrilo, Russ TedrakeList of authors in order
- Landing page
-
https://doi.org/10.1137/22m1523790Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://arxiv.org/pdf/2101.11565Direct OA link when available
- Concepts
-
Mathematics, Combinatorics, Convex set, Shortest path problem, Convex analysis, Vertex (graph theory), Mathematical optimization, Discrete mathematics, Regular polygon, Convex optimization, Graph, GeometryTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
44Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 23, 2024: 17, 2023: 2, 2021: 2Per-year citation counts (last 5 years)
- References (count)
-
105Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W3123076862 |
|---|---|
| doi | https://doi.org/10.1137/22m1523790 |
| ids.doi | https://doi.org/10.1137/22m1523790 |
| ids.mag | 3123076862 |
| ids.openalex | https://openalex.org/W3123076862 |
| fwci | 33.47464403 |
| type | article |
| title | Shortest Paths in Graphs of Convex Sets |
| awards[0].id | https://openalex.org/G2278957021 |
| awards[0].funder_id | https://openalex.org/F4320337345 |
| awards[0].display_name | |
| awards[0].funder_award_id | N00014-18-1-2210 |
| awards[0].funder_display_name | Office of Naval Research |
| awards[1].id | https://openalex.org/G8054906657 |
| awards[1].funder_id | https://openalex.org/F4320306076 |
| awards[1].display_name | |
| awards[1].funder_award_id | EFMA-1830901 |
| awards[1].funder_display_name | National Science Foundation |
| awards[2].id | https://openalex.org/G8105294677 |
| awards[2].funder_id | https://openalex.org/F4320337345 |
| awards[2].display_name | |
| awards[2].funder_award_id | N00014-17-1-2699 |
| awards[2].funder_display_name | Office of Naval Research |
| biblio.issue | 1 |
| biblio.volume | 34 |
| biblio.last_page | 532 |
| biblio.first_page | 507 |
| topics[0].id | https://openalex.org/T12288 |
| topics[0].field.id | https://openalex.org/fields/17 |
| topics[0].field.display_name | Computer Science |
| topics[0].score | 0.994700014591217 |
| topics[0].domain.id | https://openalex.org/domains/3 |
| topics[0].domain.display_name | Physical Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/1705 |
| topics[0].subfield.display_name | Computer Networks and Communications |
| topics[0].display_name | Optimization and Search Problems |
| topics[1].id | https://openalex.org/T10586 |
| topics[1].field.id | https://openalex.org/fields/17 |
| topics[1].field.display_name | Computer Science |
| topics[1].score | 0.9901000261306763 |
| topics[1].domain.id | https://openalex.org/domains/3 |
| topics[1].domain.display_name | Physical Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/1707 |
| topics[1].subfield.display_name | Computer Vision and Pattern Recognition |
| topics[1].display_name | Robotic Path Planning Algorithms |
| topics[2].id | https://openalex.org/T10720 |
| topics[2].field.id | https://openalex.org/fields/17 |
| topics[2].field.display_name | Computer Science |
| topics[2].score | 0.9605000019073486 |
| topics[2].domain.id | https://openalex.org/domains/3 |
| topics[2].domain.display_name | Physical Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/1703 |
| topics[2].subfield.display_name | Computational Theory and Mathematics |
| topics[2].display_name | Complexity and Algorithms in Graphs |
| funders[0].id | https://openalex.org/F4320306076 |
| funders[0].ror | https://ror.org/021nxhr62 |
| funders[0].display_name | National Science Foundation |
| funders[1].id | https://openalex.org/F4320337345 |
| funders[1].ror | https://ror.org/00rk2pe57 |
| funders[1].display_name | Office of Naval Research |
| is_xpac | False |
| apc_list | |
| apc_paid | |
| concepts[0].id | https://openalex.org/C33923547 |
| concepts[0].level | 0 |
| concepts[0].score | 0.5760568976402283 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q395 |
| concepts[0].display_name | Mathematics |
| concepts[1].id | https://openalex.org/C114614502 |
| concepts[1].level | 1 |
| concepts[1].score | 0.5701443552970886 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q76592 |
| concepts[1].display_name | Combinatorics |
| concepts[2].id | https://openalex.org/C49870271 |
| concepts[2].level | 4 |
| concepts[2].score | 0.4491333067417145 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q193657 |
| concepts[2].display_name | Convex set |
| concepts[3].id | https://openalex.org/C22590252 |
| concepts[3].level | 3 |
| concepts[3].score | 0.43862244486808777 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q1058754 |
| concepts[3].display_name | Shortest path problem |
| concepts[4].id | https://openalex.org/C12108790 |
| concepts[4].level | 4 |
| concepts[4].score | 0.43721187114715576 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q2234833 |
| concepts[4].display_name | Convex analysis |
| concepts[5].id | https://openalex.org/C80899671 |
| concepts[5].level | 3 |
| concepts[5].score | 0.41423389315605164 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q1304193 |
| concepts[5].display_name | Vertex (graph theory) |
| concepts[6].id | https://openalex.org/C126255220 |
| concepts[6].level | 1 |
| concepts[6].score | 0.391129732131958 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q141495 |
| concepts[6].display_name | Mathematical optimization |
| concepts[7].id | https://openalex.org/C118615104 |
| concepts[7].level | 1 |
| concepts[7].score | 0.34617534279823303 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q121416 |
| concepts[7].display_name | Discrete mathematics |
| concepts[8].id | https://openalex.org/C112680207 |
| concepts[8].level | 2 |
| concepts[8].score | 0.3409237265586853 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q714886 |
| concepts[8].display_name | Regular polygon |
| concepts[9].id | https://openalex.org/C157972887 |
| concepts[9].level | 3 |
| concepts[9].score | 0.2918694317340851 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q463359 |
| concepts[9].display_name | Convex optimization |
| concepts[10].id | https://openalex.org/C132525143 |
| concepts[10].level | 2 |
| concepts[10].score | 0.28545910120010376 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q141488 |
| concepts[10].display_name | Graph |
| concepts[11].id | https://openalex.org/C2524010 |
| concepts[11].level | 1 |
| concepts[11].score | 0.0 |
| concepts[11].wikidata | https://www.wikidata.org/wiki/Q8087 |
| concepts[11].display_name | Geometry |
| keywords[0].id | https://openalex.org/keywords/mathematics |
| keywords[0].score | 0.5760568976402283 |
| keywords[0].display_name | Mathematics |
| keywords[1].id | https://openalex.org/keywords/combinatorics |
| keywords[1].score | 0.5701443552970886 |
| keywords[1].display_name | Combinatorics |
| keywords[2].id | https://openalex.org/keywords/convex-set |
| keywords[2].score | 0.4491333067417145 |
| keywords[2].display_name | Convex set |
| keywords[3].id | https://openalex.org/keywords/shortest-path-problem |
| keywords[3].score | 0.43862244486808777 |
| keywords[3].display_name | Shortest path problem |
| keywords[4].id | https://openalex.org/keywords/convex-analysis |
| keywords[4].score | 0.43721187114715576 |
| keywords[4].display_name | Convex analysis |
| keywords[5].id | https://openalex.org/keywords/vertex |
| keywords[5].score | 0.41423389315605164 |
| keywords[5].display_name | Vertex (graph theory) |
| keywords[6].id | https://openalex.org/keywords/mathematical-optimization |
| keywords[6].score | 0.391129732131958 |
| keywords[6].display_name | Mathematical optimization |
| keywords[7].id | https://openalex.org/keywords/discrete-mathematics |
| keywords[7].score | 0.34617534279823303 |
| keywords[7].display_name | Discrete mathematics |
| keywords[8].id | https://openalex.org/keywords/regular-polygon |
| keywords[8].score | 0.3409237265586853 |
| keywords[8].display_name | Regular polygon |
| keywords[9].id | https://openalex.org/keywords/convex-optimization |
| keywords[9].score | 0.2918694317340851 |
| keywords[9].display_name | Convex optimization |
| keywords[10].id | https://openalex.org/keywords/graph |
| keywords[10].score | 0.28545910120010376 |
| keywords[10].display_name | Graph |
| language | en |
| locations[0].id | doi:10.1137/22m1523790 |
| locations[0].is_oa | False |
| locations[0].source.id | https://openalex.org/S928796702 |
| locations[0].source.issn | 1052-6234, 1095-7189 |
| locations[0].source.type | journal |
| locations[0].source.is_oa | False |
| locations[0].source.issn_l | 1052-6234 |
| locations[0].source.is_core | True |
| locations[0].source.is_in_doaj | False |
| locations[0].source.display_name | SIAM Journal on Optimization |
| locations[0].source.host_organization | https://openalex.org/P4310320508 |
| locations[0].source.host_organization_name | Society for Industrial and Applied Mathematics |
| locations[0].source.host_organization_lineage | https://openalex.org/P4310320508 |
| locations[0].source.host_organization_lineage_names | Society for Industrial and Applied Mathematics |
| locations[0].license | |
| locations[0].pdf_url | |
| locations[0].version | publishedVersion |
| locations[0].raw_type | journal-article |
| locations[0].license_id | |
| locations[0].is_accepted | True |
| locations[0].is_published | True |
| locations[0].raw_source_name | SIAM Journal on Optimization |
| locations[0].landing_page_url | https://doi.org/10.1137/22m1523790 |
| locations[1].id | pmh:oai:arXiv.org:2101.11565 |
| 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 | |
| locations[1].pdf_url | https://arxiv.org/pdf/2101.11565 |
| locations[1].version | submittedVersion |
| locations[1].raw_type | text |
| locations[1].license_id | |
| locations[1].is_accepted | False |
| locations[1].is_published | False |
| locations[1].raw_source_name | |
| locations[1].landing_page_url | http://arxiv.org/abs/2101.11565 |
| indexed_in | arxiv, crossref |
| authorships[0].author.id | https://openalex.org/A5018909196 |
| authorships[0].author.orcid | https://orcid.org/0000-0001-8249-0434 |
| authorships[0].author.display_name | Tobia Marcucci |
| authorships[0].countries | US |
| authorships[0].affiliations[0].institution_ids | https://openalex.org/I63966007 |
| authorships[0].affiliations[0].raw_affiliation_string | Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA 02139 USA. |
| authorships[0].institutions[0].id | https://openalex.org/I63966007 |
| authorships[0].institutions[0].ror | https://ror.org/042nb2s44 |
| authorships[0].institutions[0].type | education |
| authorships[0].institutions[0].lineage | https://openalex.org/I63966007 |
| authorships[0].institutions[0].country_code | US |
| authorships[0].institutions[0].display_name | Massachusetts Institute of Technology |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Tobia Marcucci |
| authorships[0].is_corresponding | False |
| authorships[0].raw_affiliation_strings | Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA 02139 USA. |
| authorships[1].author.id | https://openalex.org/A5014393565 |
| authorships[1].author.orcid | https://orcid.org/0000-0001-6946-1508 |
| authorships[1].author.display_name | Jack Umenberger |
| authorships[1].countries | US |
| authorships[1].affiliations[0].institution_ids | https://openalex.org/I63966007 |
| authorships[1].affiliations[0].raw_affiliation_string | Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA 02139 USA. |
| authorships[1].institutions[0].id | https://openalex.org/I63966007 |
| authorships[1].institutions[0].ror | https://ror.org/042nb2s44 |
| authorships[1].institutions[0].type | education |
| authorships[1].institutions[0].lineage | https://openalex.org/I63966007 |
| authorships[1].institutions[0].country_code | US |
| authorships[1].institutions[0].display_name | Massachusetts Institute of Technology |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Jack Umenberger |
| authorships[1].is_corresponding | False |
| authorships[1].raw_affiliation_strings | Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA 02139 USA. |
| authorships[2].author.id | https://openalex.org/A5031935416 |
| authorships[2].author.orcid | https://orcid.org/0000-0003-1132-8477 |
| authorships[2].author.display_name | Pablo A. Parrilo |
| authorships[2].countries | US |
| authorships[2].affiliations[0].institution_ids | https://openalex.org/I63966007 |
| authorships[2].affiliations[0].raw_affiliation_string | Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA 02139 USA. |
| authorships[2].institutions[0].id | https://openalex.org/I63966007 |
| authorships[2].institutions[0].ror | https://ror.org/042nb2s44 |
| authorships[2].institutions[0].type | education |
| authorships[2].institutions[0].lineage | https://openalex.org/I63966007 |
| authorships[2].institutions[0].country_code | US |
| authorships[2].institutions[0].display_name | Massachusetts Institute of Technology |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Pablo Parrilo |
| authorships[2].is_corresponding | False |
| authorships[2].raw_affiliation_strings | Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA 02139 USA. |
| authorships[3].author.id | https://openalex.org/A5074291890 |
| authorships[3].author.orcid | |
| authorships[3].author.display_name | Russ Tedrake |
| authorships[3].countries | US |
| authorships[3].affiliations[0].institution_ids | https://openalex.org/I63966007 |
| authorships[3].affiliations[0].raw_affiliation_string | Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA 02139 USA. |
| authorships[3].institutions[0].id | https://openalex.org/I63966007 |
| authorships[3].institutions[0].ror | https://ror.org/042nb2s44 |
| authorships[3].institutions[0].type | education |
| authorships[3].institutions[0].lineage | https://openalex.org/I63966007 |
| authorships[3].institutions[0].country_code | US |
| authorships[3].institutions[0].display_name | Massachusetts Institute of Technology |
| authorships[3].author_position | last |
| authorships[3].raw_author_name | Russ Tedrake |
| authorships[3].is_corresponding | False |
| authorships[3].raw_affiliation_strings | Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA 02139 USA. |
| 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/2101.11565 |
| open_access.oa_status | green |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | Shortest Paths in Graphs of Convex Sets |
| has_fulltext | False |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T12288 |
| primary_topic.field.id | https://openalex.org/fields/17 |
| primary_topic.field.display_name | Computer Science |
| primary_topic.score | 0.994700014591217 |
| primary_topic.domain.id | https://openalex.org/domains/3 |
| primary_topic.domain.display_name | Physical Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/1705 |
| primary_topic.subfield.display_name | Computer Networks and Communications |
| primary_topic.display_name | Optimization and Search Problems |
| related_works | https://openalex.org/W2376997122, https://openalex.org/W2026600343, https://openalex.org/W2478309485, https://openalex.org/W2391247224, https://openalex.org/W4382519084, https://openalex.org/W2112761337, https://openalex.org/W4311073519, https://openalex.org/W144566582, https://openalex.org/W2002037426, https://openalex.org/W4288324104 |
| cited_by_count | 44 |
| counts_by_year[0].year | 2025 |
| counts_by_year[0].cited_by_count | 23 |
| counts_by_year[1].year | 2024 |
| counts_by_year[1].cited_by_count | 17 |
| counts_by_year[2].year | 2023 |
| counts_by_year[2].cited_by_count | 2 |
| counts_by_year[3].year | 2021 |
| counts_by_year[3].cited_by_count | 2 |
| locations_count | 2 |
| best_oa_location.id | pmh:oai:arXiv.org:2101.11565 |
| 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/2101.11565 |
| 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/2101.11565 |
| primary_location.id | doi:10.1137/22m1523790 |
| primary_location.is_oa | False |
| primary_location.source.id | https://openalex.org/S928796702 |
| primary_location.source.issn | 1052-6234, 1095-7189 |
| primary_location.source.type | journal |
| primary_location.source.is_oa | False |
| primary_location.source.issn_l | 1052-6234 |
| primary_location.source.is_core | True |
| primary_location.source.is_in_doaj | False |
| primary_location.source.display_name | SIAM Journal on Optimization |
| primary_location.source.host_organization | https://openalex.org/P4310320508 |
| primary_location.source.host_organization_name | Society for Industrial and Applied Mathematics |
| primary_location.source.host_organization_lineage | https://openalex.org/P4310320508 |
| primary_location.source.host_organization_lineage_names | Society for Industrial and Applied Mathematics |
| primary_location.license | |
| primary_location.pdf_url | |
| primary_location.version | publishedVersion |
| primary_location.raw_type | journal-article |
| primary_location.license_id | |
| primary_location.is_accepted | True |
| primary_location.is_published | True |
| primary_location.raw_source_name | SIAM Journal on Optimization |
| primary_location.landing_page_url | https://doi.org/10.1137/22m1523790 |
| publication_date | 2024-02-01 |
| publication_year | 2024 |
| referenced_works | https://openalex.org/W2034432217, https://openalex.org/W2110824994, https://openalex.org/W1977985274, https://openalex.org/W2606868416, https://openalex.org/W2150506037, https://openalex.org/W2093022060, https://openalex.org/W4300568640, https://openalex.org/W2747035244, https://openalex.org/W2964069177, https://openalex.org/W1596142555, https://openalex.org/W2079125893, https://openalex.org/W2170569252, https://openalex.org/W2141708863, https://openalex.org/W2160213269, https://openalex.org/W2135159299, https://openalex.org/W2344092458, https://openalex.org/W2023599497, https://openalex.org/W2401610261, https://openalex.org/W1967344706, https://openalex.org/W4252795229, https://openalex.org/W2014635906, https://openalex.org/W2106264302, https://openalex.org/W2163178194, https://openalex.org/W3041042960, https://openalex.org/W1988622494, https://openalex.org/W2233656699, https://openalex.org/W2766402182, https://openalex.org/W1967184028, https://openalex.org/W583659471, https://openalex.org/W2963979716, https://openalex.org/W4249667877, https://openalex.org/W2049143039, https://openalex.org/W3187519750, https://openalex.org/W2049505431, https://openalex.org/W2233296499, https://openalex.org/W2023182928, https://openalex.org/W3093250001, https://openalex.org/W2169528473, https://openalex.org/W2782701448, https://openalex.org/W1972335984, https://openalex.org/W2063317962, https://openalex.org/W1999261327, https://openalex.org/W1571070457, https://openalex.org/W2170220350, https://openalex.org/W3101371493, https://openalex.org/W1978956894, https://openalex.org/W1899379166, https://openalex.org/W2043003284, https://openalex.org/W2286092420, https://openalex.org/W2058937865, https://openalex.org/W2149811681, https://openalex.org/W2990822333, https://openalex.org/W1965655408, https://openalex.org/W1516698920, https://openalex.org/W2032159439, https://openalex.org/W2049287714, https://openalex.org/W2072508748, https://openalex.org/W2769467813, https://openalex.org/W2029706450, https://openalex.org/W2110703708, https://openalex.org/W1991923258, https://openalex.org/W1947989477, https://openalex.org/W2332600699, https://openalex.org/W2204083038, https://openalex.org/W2123871098, https://openalex.org/W2296319761, https://openalex.org/W2988480584, https://openalex.org/W2046419297, https://openalex.org/W1569787476, https://openalex.org/W2084224084, https://openalex.org/W1995356523, https://openalex.org/W1030513622, https://openalex.org/W2102488278, https://openalex.org/W1517470327, https://openalex.org/W2940189798, https://openalex.org/W4213060235, https://openalex.org/W2946857491, https://openalex.org/W2168381469, https://openalex.org/W3036318415, https://openalex.org/W2783859738, https://openalex.org/W2081929325, https://openalex.org/W2903503922, https://openalex.org/W2561843528, https://openalex.org/W1975638108, https://openalex.org/W2125334953, https://openalex.org/W2414767203, https://openalex.org/W2968827721, https://openalex.org/W2167459401, https://openalex.org/W2528863944, https://openalex.org/W2015149365, https://openalex.org/W2037749870, https://openalex.org/W2151308681, https://openalex.org/W4300645277, https://openalex.org/W2124125948, https://openalex.org/W2077397558, https://openalex.org/W1499399028, https://openalex.org/W2018269848, https://openalex.org/W2024693023, https://openalex.org/W3022030295, https://openalex.org/W2032789430, https://openalex.org/W2164957979, https://openalex.org/W3105161877, https://openalex.org/W2172255557, https://openalex.org/W1885568428, https://openalex.org/W1977545325 |
| referenced_works_count | 105 |
| abstract_inverted_index.a | 1, 8, 17, 21, 25, 41, 56, 87, 106 |
| abstract_inverted_index.We | 23 |
| abstract_inverted_index.an | 53 |
| abstract_inverted_index.be | 100 |
| abstract_inverted_index.in | 31, 37, 46, 70, 125 |
| abstract_inverted_index.is | 40, 55, 90, 105 |
| abstract_inverted_index.of | 10, 27, 52, 59, 65, 75, 81, 93 |
| abstract_inverted_index.on | 113 |
| abstract_inverted_index.to | 20, 78, 99, 119 |
| abstract_inverted_index.Our | 102 |
| abstract_inverted_index.The | 84 |
| abstract_inverted_index.and | 49, 108, 128 |
| abstract_inverted_index.the | 3, 33, 38, 50, 60, 91 |
| abstract_inverted_index.each | 35 |
| abstract_inverted_index.edge | 54 |
| abstract_inverted_index.find | 121 |
| abstract_inverted_index.form | 67 |
| abstract_inverted_index.from | 73 |
| abstract_inverted_index.main | 103 |
| abstract_inverted_index.many | 71 |
| abstract_inverted_index.seen | 98 |
| abstract_inverted_index.set, | 48 |
| abstract_inverted_index.such | 86 |
| abstract_inverted_index.that | 15, 116 |
| abstract_inverted_index.this | 28, 66, 94 |
| abstract_inverted_index.wide | 88 |
| abstract_inverted_index.Given | 0 |
| abstract_inverted_index.arise | 68 |
| abstract_inverted_index.based | 112 |
| abstract_inverted_index.graph | 39 |
| abstract_inverted_index.large | 126 |
| abstract_inverted_index.makes | 117 |
| abstract_inverted_index.paths | 124 |
| abstract_inverted_index.which | 32, 96 |
| abstract_inverted_index.areas, | 72 |
| abstract_inverted_index.convex | 57, 110 |
| abstract_inverted_index.graph, | 2 |
| abstract_inverted_index.graphs | 127 |
| abstract_inverted_index.hybrid | 82 |
| abstract_inverted_index.length | 14, 51 |
| abstract_inverted_index.source | 18 |
| abstract_inverted_index.strong | 107 |
| abstract_inverted_index.vertex | 19, 36 |
| abstract_inverted_index.control | 80 |
| abstract_inverted_index.finding | 7 |
| abstract_inverted_index.minimum | 12 |
| abstract_inverted_index.of\nits | 62 |
| abstract_inverted_index.optimal | 79, 123 |
| abstract_inverted_index.problem | 5, 30 |
| abstract_inverted_index.variant | 26 |
| abstract_inverted_index.NP-hard. | 101 |
| abstract_inverted_index.Problems | 64 |
| abstract_inverted_index.connects | 16 |
| abstract_inverted_index.consider | 24 |
| abstract_inverted_index.decision | 43 |
| abstract_inverted_index.function | 58 |
| abstract_inverted_index.globally | 122 |
| abstract_inverted_index.position | 61 |
| abstract_inverted_index.problem, | 95 |
| abstract_inverted_index.requires | 6 |
| abstract_inverted_index.sequence | 9 |
| abstract_inverted_index.systems. | 83 |
| abstract_inverted_index.variable | 44 |
| abstract_inverted_index.vehicles | 77 |
| abstract_inverted_index.a\nconvex | 47 |
| abstract_inverted_index.classical | 29 |
| abstract_inverted_index.naturally | 69 |
| abstract_inverted_index.spaces.\n | 130 |
| abstract_inverted_index.autonomous | 76 |
| abstract_inverted_index.complexity | 92 |
| abstract_inverted_index.continuous | 42 |
| abstract_inverted_index.cumulative | 13 |
| abstract_inverted_index.endpoints. | 63 |
| abstract_inverted_index.is\neasily | 97 |
| abstract_inverted_index.operators, | 115 |
| abstract_inverted_index.price\nfor | 85 |
| abstract_inverted_index.constrained | 45 |
| abstract_inverted_index.edges\nwith | 11 |
| abstract_inverted_index.efficiently | 120 |
| abstract_inverted_index.formulation | 111 |
| abstract_inverted_index.perspective | 114 |
| abstract_inverted_index.contribution | 104 |
| abstract_inverted_index.it\npossible | 118 |
| abstract_inverted_index.position\nof | 34 |
| abstract_inverted_index.applicability | 89 |
| abstract_inverted_index.shortest-path | 4 |
| abstract_inverted_index.target\nvertex. | 22 |
| abstract_inverted_index.motion\nplanning | 74 |
| abstract_inverted_index.in\nhigh-dimensional | 129 |
| abstract_inverted_index.lightweight\nmixed-integer | 109 |
| cited_by_percentile_year.max | 100 |
| cited_by_percentile_year.min | 93 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 4 |
| citation_normalized_percentile.value | 0.99569039 |
| citation_normalized_percentile.is_in_top_1_percent | True |
| citation_normalized_percentile.is_in_top_10_percent | True |