{"id":"https://openalex.org/W4404570008","doi":"https://doi.org/10.4230/lipics.cpm.2026.14","title":"Hardness Results on Characteristics for Elastic-Degenerate Strings","display_name":"Hardness Results on Characteristics for Elastic-Degenerate Strings","publication_year":2024,"publication_date":"2024-11-16","ids":{"openalex":"https://openalex.org/W4404570008","doi":"https://doi.org/10.4230/lipics.cpm.2026.14"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2411.10653","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2411.10653","pdf_url":"https://arxiv.org/pdf/2411.10653","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2411.10653","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5114730145","display_name":"Dominik K\u00f6ppl","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"K\u00f6ppl, Dominik","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5011336831","display_name":"Jannik Olbrich","orcid":"https://orcid.org/0000-0003-3291-7342"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Olbrich, Jannik","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2351,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.49975211,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12252","display_name":"Mechanical stress and fatigue analysis","score":0.9947999715805054,"subfield":{"id":"https://openalex.org/subfields/2211","display_name":"Mechanics of Materials"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12252","display_name":"Mechanical stress and fatigue analysis","score":0.9947999715805054,"subfield":{"id":"https://openalex.org/subfields/2211","display_name":"Mechanics of Materials"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12206","display_name":"Vibration and Dynamic Analysis","score":0.9509999752044678,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.3639541268348694},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.33622950315475464}],"concepts":[{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.3639541268348694},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.33622950315475464}],"mesh":[],"locations_count":4,"locations":[{"id":"pmh:oai:arXiv.org:2411.10653","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2411.10653","pdf_url":"https://arxiv.org/pdf/2411.10653","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"pmh:oai:drops-oai.dagstuhl.de:25940","is_oa":true,"landing_page_url":"https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.CPM.2026.14","pdf_url":"https://drops.dagstuhl.de/storage/00lipics/lipics-vol369-cpm2026/LIPIcs.CPM.2026.14/LIPIcs.CPM.2026.14.pdf","source":{"id":"https://openalex.org/S4377196569","display_name":"DROPS (Schloss Dagstuhl \u2013 Leibniz Center for Informatics)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2799853480","host_organization_name":"Schloss Dagstuhl \u2013 Leibniz Center for Informatics","host_organization_lineage":["https://openalex.org/I2799853480"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"publishedVersion"},{"id":"doi:10.48550/arxiv.2411.10653","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2411.10653","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"},{"id":"doi:10.4230/lipics.cpm.2026.14","is_oa":true,"landing_page_url":"https://doi.org/10.4230/lipics.cpm.2026.14","pdf_url":null,"source":{"id":"https://openalex.org/S7407052059","display_name":"Dagstuhl Research Online Publication Server","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":""}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2411.10653","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2411.10653","pdf_url":"https://arxiv.org/pdf/2411.10653","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4404570008.pdf","grobid_xml":"https://content.openalex.org/works/W4404570008.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W4391375266","https://openalex.org/W1979597421","https://openalex.org/W2007980826","https://openalex.org/W2016187641","https://openalex.org/W2805339068","https://openalex.org/W4246450666","https://openalex.org/W4388998267","https://openalex.org/W2898370298","https://openalex.org/W2137437058"],"abstract_inverted_index":{"Generalizations":[0],"of":[1,15,40,47,53,55,68,70,82,89,102,105,116,134,148,157,182,186,231],"plain":[2,33,142],"strings":[3,54,69,136,164],"have":[4],"been":[5,120,152],"proposed":[6],"as":[7,128,243],"a":[8,13,32,36,45,51,66,100,110,155,158,210],"compact":[9],"way":[10],"to":[11,20,84,122,141,189,228],"represent":[12,86],"collection":[14],"nearly":[16],"identical":[17],"sequences":[18,104],"or":[19,61,65,75,109,131,246],"express":[21],"uncertainty":[22],"at":[23,38],"specific":[24],"text":[25],"positions":[26],"by":[27,137],"enumerating":[28],"all":[29,224],"possibilities.":[30],"While":[31,207],"string":[34],"stores":[35],"character":[37],"each":[39],"its":[41],"positions,":[42],"generalizations":[43,80],"consider":[44],"set":[46,52,67,101],"characters":[48],"(indeterminate":[49],"strings),":[50,64],"equal":[56],"length":[57],"(generalized":[58],"degenerate":[59],"strings,":[60,74,169,220],"shortly":[62,76],"GD":[63,247],"arbitrary":[71],"lengths":[72],"(elastic-degenerate":[73],"ED":[77,135,168,219],"strings).":[78],"These":[79],"are":[81,185,226],"importance":[83],"compactly":[85],"such":[87,127],"type":[88],"data,":[90],"and":[91,98,203],"find":[92],"applications":[93],"in":[94],"bioinformatics":[95],"for":[96,145,193,214],"representing":[97],"maintaining":[99],"genetic":[103],"the":[106,191,194,215,235,238],"same":[107],"taxonomy":[108],"multiple":[111],"sequence":[112],"alignment.":[113],"To":[114],"be":[115,241],"use,":[117],"attention":[118],"has":[119,151],"drawn":[121],"answering":[123],"various":[124],"query":[125,161],"types":[126,147,181],"pattern":[129],"matching":[130],"measuring":[132],"similarity":[133],"generalizing":[138],"techniques":[139],"known":[140],"strings.":[143],"However,":[144],"some":[146,230],"queries,":[149,183],"it":[150],"shown":[153],"that":[154,175,223,237],"generalization":[156],"polynomial-time":[159],"solvable":[160],"on":[162,167,218],"classic":[163],"becomes":[165],"NP-hard":[166,227],"e.g.":[170],"[Russo":[171],"et":[172],"al.,2022].":[173],"In":[174],"light,":[176],"we":[177,208,221],"wonder":[178],"about":[179],"other":[180],"which":[184],"particular":[187],"interest":[188],"bioinformatics:":[190],"search":[192],"longest":[195,204],"repeating":[196],"factor,":[197],"unique":[198],"substrings,":[199],"absent":[200],"words,":[201],"anti-powers,":[202],"previous":[205],"factors.":[206],"obtain":[209],"polynomial":[211],"time":[212],"algorithm":[213],"first":[216],"problem":[217],"show":[222],"others":[225],"compute,":[229],"them":[232],"even":[233],"under":[234],"restriction":[236],"input":[239],"can":[240],"modelled":[242],"an":[244],"indeterminate":[245],"string.":[248]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2024-11-21T00:00:00"}
