{"id":"https://openalex.org/W1967331605","doi":"https://doi.org/10.1002/spe.4380191107","title":"A selection algorithm with a practical upper bound on expected number of comparisons","display_name":"A selection algorithm with a practical upper bound on expected number of comparisons","publication_year":1989,"publication_date":"1989-11-01","ids":{"openalex":"https://openalex.org/W1967331605","doi":"https://doi.org/10.1002/spe.4380191107","mag":"1967331605"},"language":"en","primary_location":{"id":"doi:10.1002/spe.4380191107","is_oa":false,"landing_page_url":"https://doi.org/10.1002/spe.4380191107","pdf_url":null,"source":{"id":"https://openalex.org/S122199241","display_name":"Software Practice and Experience","issn_l":"0038-0644","issn":["0038-0644","1097-024X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Software: Practice and Experience","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103338647","display_name":"Jong Soo Park","orcid":null},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Jong Soo Park","raw_affiliation_strings":["Korea Advanced Insititue of Science and Technology, Seoul, Korea#TAB#"],"affiliations":[{"raw_affiliation_string":"Korea Advanced Insititue of Science and Technology, Seoul, Korea#TAB#","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101519586","display_name":"Myung-Hwan Kim","orcid":null},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Myunghwan Kim","raw_affiliation_strings":["Korea Advanced Insititue of Science and Technology, Seoul, Korea#TAB#"],"affiliations":[{"raw_affiliation_string":"Korea Advanced Insititue of Science and Technology, Seoul, Korea#TAB#","institution_ids":["https://openalex.org/I157485424"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5103338647"],"corresponding_institution_ids":["https://openalex.org/I157485424"],"apc_list":{"value":4220,"currency":"USD","value_usd":4220},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.08904835,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"19","issue":"11","first_page":"1105","last_page":"1110"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":0.9902999997138977,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":0.9902999997138977,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10948","display_name":"Advanced Combinatorial Mathematics","score":0.9882000088691711,"subfield":{"id":"https://openalex.org/subfields/2607","display_name":"Discrete Mathematics and Combinatorics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9810000061988831,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/partition","display_name":"Partition (number theory)","score":0.7229787707328796},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.6283416748046875},{"id":"https://openalex.org/keywords/element","display_name":"Element (criminal law)","score":0.5875985622406006},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.5787055492401123},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5572023391723633},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.541159987449646},{"id":"https://openalex.org/keywords/distribution","display_name":"Distribution (mathematics)","score":0.48468688130378723},{"id":"https://openalex.org/keywords/upper-and-lower-bounds","display_name":"Upper and lower bounds","score":0.4721009135246277},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.4159259796142578},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.391959011554718},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.3064516484737396},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.2830324172973633},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.07412117719650269},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.0645875632762909}],"concepts":[{"id":"https://openalex.org/C42812","wikidata":"https://www.wikidata.org/wiki/Q1082910","display_name":"Partition (number theory)","level":2,"score":0.7229787707328796},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.6283416748046875},{"id":"https://openalex.org/C200288055","wikidata":"https://www.wikidata.org/wiki/Q2621792","display_name":"Element (criminal law)","level":2,"score":0.5875985622406006},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.5787055492401123},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5572023391723633},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.541159987449646},{"id":"https://openalex.org/C110121322","wikidata":"https://www.wikidata.org/wiki/Q865811","display_name":"Distribution (mathematics)","level":2,"score":0.48468688130378723},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.4721009135246277},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.4159259796142578},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.391959011554718},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.3064516484737396},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.2830324172973633},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.07412117719650269},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0645875632762909},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1002/spe.4380191107","is_oa":false,"landing_page_url":"https://doi.org/10.1002/spe.4380191107","pdf_url":null,"source":{"id":"https://openalex.org/S122199241","display_name":"Software Practice and Experience","issn_l":"0038-0644","issn":["0038-0644","1097-024X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Software: Practice and Experience","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W1554451661","https://openalex.org/W1989640573","https://openalex.org/W2084288010","https://openalex.org/W2138180048","https://openalex.org/W2160363852","https://openalex.org/W4247945146"],"related_works":["https://openalex.org/W2380000090","https://openalex.org/W2374797863","https://openalex.org/W4205762803","https://openalex.org/W2267059662","https://openalex.org/W2349308527","https://openalex.org/W2535856026","https://openalex.org/W4388411807","https://openalex.org/W2364268683","https://openalex.org/W2478803962","https://openalex.org/W2502632608"],"abstract_inverted_index":{"Abstract":[0],"A":[1],"selection":[2,126,131],"algorithm":[3,16,33,118],"to":[4,27,85,122,135],"find":[5],"the":[6,20,35,44,50,68,73,101,114,117,123,130,136],"Irth":[7],"smallest":[8],"element":[9,37,46,61],"of":[10,19,67,75,81,116],"a":[11,29,39],"elements":[12],"is":[13,47,62,83,104,119,133],"presented.":[14],"The":[15,32,59,78,109],"mainly":[17],"consists":[18],"partition":[21,52],"procedure":[22],"and":[23],"an":[24],"improved":[25],"method":[26],"choose":[28],"partitioning":[30,36,60],"element.":[31],"estimates":[34],"from":[38,57],"small":[40],"sample":[41,102],"so":[42],"that":[43,113],"icth":[45],"contained":[48],"in":[49,72],"smaller":[51],"between":[53],"two":[54,124],"partitions":[55],"resulting":[56],"partitioning.":[58],"determined":[63],"by":[64],"using":[65],"estimation":[66],"cumulative":[69],"frequency":[70],"distribution":[71],"theory":[74],"non\u2010parametric":[76],"statistics.":[77],"expected":[79],"number":[80],"comparisons":[82],"found":[84],"be":[86],"n":[87,106],"+":[88,93],"min(":[89],"k,":[90],"n\u2010k":[91],")":[92,96],"O(n":[94],"2/3":[95,107],"through":[97],"experimental":[98,110],"tests":[99],"where":[100],"size":[103],"approximately":[105],".":[108],"results":[111],"show":[112],"performance":[115],"improved,":[120],"compared":[121],"known":[125],"algorithms,":[127],"particularly":[128],"when":[129],"index":[132],"near":[134],"median.":[137]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
