{"data":{"id":"10.4121/uuid:653d9ff7-3602-4db1-be71-44dca76a04fa","type":"dois","attributes":{"doi":"10.4121/uuid:653d9ff7-3602-4db1-be71-44dca76a04fa","prefix":"10.4121","suffix":"uuid:653d9ff7-3602-4db1-be71-44dca76a04fa","identifiers":[],"alternateIdentifiers":[],"creators":[{"name":"Planken, L.R.(Léon)","givenName":"L.R.(Léon)","familyName":"Planken","affiliation":[],"nameIdentifiers":[]},{"name":"de Weerdt, Mathijs","nameType":"Personal","givenName":"Mathijs","familyName":"de Weerdt","nameIdentifiers":[{"nameIdentifier":"0000-0002-0470-6241","nameIdentifierScheme":"https://orcid.org/"}],"affiliation":[]},{"name":"van der Krogt, R.P.J.(Roman)","givenName":"R.P.J.(Roman)","familyName":"van der Krogt","affiliation":[],"nameIdentifiers":[]}],"titles":[{"title":"Network instance Chordal, fixed treewidth, edition 1"}],"publisher":"TU Delft - Delft University of Technology; Faculty EEMCS; Algorithmics group","container":{},"publicationYear":2011,"subjects":[{"subject":"Computation Theory and Mathematics","subjectScheme":"Australian and New Zealand Standard Research Classification (ANZSRC), 2008","classificationCode":"0802"},{"subject":"FOS: Computer and information sciences","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"APSP, all-pairs shortest paths"},{"subject":"Collection: Benchmark instances for experiments in [Computing All-Pairs Shortest Paths by Leveraging Low Treewidth (paper, 2011)]"},{"subject":"Collection: Benchmark instances for experiments in [Computing All-Pairs Shortest Paths by Leveraging Low Treewidth (paper, 2012)]"},{"subject":"STN, simple temporal network"},{"subject":"STP, simple temporal problem"},{"subject":"shortest path"}],"contributors":[{"name":"TU Delft-Delft University Of Technology; Faculty EEMCS; Algorithmics Group","nameType":"Organizational","affiliation":[],"contributorType":"Other","nameIdentifiers":[]},{"name":"University College Cork; Cork Constraint Computations Centre","nameType":"Organizational","affiliation":[],"contributorType":"Other","nameIdentifiers":[]}],"dates":[{"date":"2011-03-15","dateType":"Issued"}],"language":null,"types":{"ris":"DATA","bibtex":"misc","citeproc":"dataset","schemaOrg":"Dataset","resourceType":"Dataset","resourceTypeGeneral":"Dataset"},"relatedIdentifiers":[{"relationType":"References","relatedIdentifier":"https://doi.org/10.1613/jair.3509","relatedIdentifierType":"URL"},{"relationType":"References","relatedIdentifier":"http://aaai.org/ocs/index.php/ICAPS/ICAPS11/paper/view/2700","relatedIdentifierType":"URL"}],"relatedItems":[],"sizes":[],"formats":["DIMACS graph format allowing infinite arc weights media types: application/x-gzip"],"version":"1","rightsList":[{"rights":"Creative Commons Attribution Non Commercial Share Alike 3.0 Unported","rightsUri":"https://creativecommons.org/licenses/by-nc-sa/3.0/legalcode","schemeUri":"https://spdx.org/licenses/","rightsIdentifier":"cc-by-nc-sa-3.0","rightsIdentifierScheme":"SPDX"}],"descriptions":[{"description":"Chordal graphs from a self-written generator. The weights of the constraint arcs are set such that at least one solution exists (i.e. the graph contains no negative cycles and the STN is consistent). This archive contains 130 graphs on 214–3125 nodes, 22788–637009 arcs, treewidth 211. Parent item: Benchmark instances for experiments in [\"Computing All-Pairs Shortest Paths by Leveraging Low Treewidth\" (paper, 2012)] Parent item: Benchmark instances for experiments in [\"Computing All-Pairs Shortest Paths by Leveraging Low Treewidth\" (paper, 2011)]","descriptionType":"Abstract"}],"geoLocations":[],"fundingReferences":[],"xml":"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