{"id":"https://openalex.org/W2585459637","doi":"https://doi.org/10.2352/issn.2470-1173.2017.1.vda-397","title":"Accelerating advection via approximate block exterior flow maps","display_name":"Accelerating advection via approximate block exterior flow maps","publication_year":2017,"publication_date":"2017-01-29","ids":{"openalex":"https://openalex.org/W2585459637","doi":"https://doi.org/10.2352/issn.2470-1173.2017.1.vda-397","mag":"2585459637"},"language":"en","primary_location":{"id":"doi:10.2352/issn.2470-1173.2017.1.vda-397","is_oa":false,"landing_page_url":"https://doi.org/10.2352/issn.2470-1173.2017.1.vda-397","pdf_url":null,"source":{"id":"https://openalex.org/S4210227276","display_name":"Electronic Imaging","issn_l":"2470-1173","issn":["2470-1173"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Electronic Imaging","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/A5086921543","display_name":"Ryan Bleile","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Ryan Bleile","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063864644","display_name":"L. Sugiyama","orcid":"https://orcid.org/0000-0002-2902-6680"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Linda Sugiyama","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071898071","display_name":"Christoph Garth","orcid":"https://orcid.org/0000-0003-1669-8549"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Christoph Garth","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5015951381","display_name":"Hank Childs","orcid":"https://orcid.org/0000-0001-5816-1892"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hank Childs","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5086921543"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.1877,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.7928123,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"29","issue":"1","first_page":"140","last_page":"148"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9930999875068665,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.984499990940094,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/advection","display_name":"Advection","score":0.8694124221801758},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.7758604288101196},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6508652567863464},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.6389789581298828},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.6074275970458984},{"id":"https://openalex.org/keywords/flow","display_name":"Flow (mathematics)","score":0.567227840423584},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.4818114638328552},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4809229075908661},{"id":"https://openalex.org/keywords/eulerian-path","display_name":"Eulerian path","score":0.4672885537147522},{"id":"https://openalex.org/keywords/computational-science","display_name":"Computational science","score":0.4176808297634125},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.37854549288749695},{"id":"https://openalex.org/keywords/lagrangian","display_name":"Lagrangian","score":0.270962655544281},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.26136279106140137},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2563561201095581},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.17444655299186707},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.16588914394378662},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.15590286254882812},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.09947961568832397}],"concepts":[{"id":"https://openalex.org/C5072599","wikidata":"https://www.wikidata.org/wiki/Q379788","display_name":"Advection","level":2,"score":0.8694124221801758},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.7758604288101196},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6508652567863464},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.6389789581298828},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.6074275970458984},{"id":"https://openalex.org/C38349280","wikidata":"https://www.wikidata.org/wiki/Q1434290","display_name":"Flow (mathematics)","level":2,"score":0.567227840423584},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.4818114638328552},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4809229075908661},{"id":"https://openalex.org/C43058520","wikidata":"https://www.wikidata.org/wiki/Q624580","display_name":"Eulerian path","level":3,"score":0.4672885537147522},{"id":"https://openalex.org/C459310","wikidata":"https://www.wikidata.org/wiki/Q117801","display_name":"Computational science","level":1,"score":0.4176808297634125},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.37854549288749695},{"id":"https://openalex.org/C53469067","wikidata":"https://www.wikidata.org/wiki/Q505735","display_name":"Lagrangian","level":2,"score":0.270962655544281},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.26136279106140137},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2563561201095581},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.17444655299186707},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.16588914394378662},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.15590286254882812},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.09947961568832397},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.2352/issn.2470-1173.2017.1.vda-397","is_oa":false,"landing_page_url":"https://doi.org/10.2352/issn.2470-1173.2017.1.vda-397","pdf_url":null,"source":{"id":"https://openalex.org/S4210227276","display_name":"Electronic Imaging","issn_l":"2470-1173","issn":["2470-1173"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Electronic Imaging","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":3,"referenced_works":["https://openalex.org/W1999498941","https://openalex.org/W2073470731","https://openalex.org/W2293449835"],"related_works":["https://openalex.org/W4366835705","https://openalex.org/W2034363746","https://openalex.org/W3036101264","https://openalex.org/W2163151373","https://openalex.org/W1986676657","https://openalex.org/W2008097580","https://openalex.org/W4238257821","https://openalex.org/W2930989993","https://openalex.org/W107698413","https://openalex.org/W3203958278"],"abstract_inverted_index":{"Flow":[0],"visualization":[1],"techniques":[2,13],"involving":[3],"extreme":[4],"advection":[5,80],"workloads":[6],"are":[7,27,86],"becoming":[8],"increasingly":[9],"popular.":[10],"While":[11],"these":[12],"often":[14],"produce":[15],"insightful":[16],"images,":[17],"the":[18,24,44,94],"execution":[19],"times":[20],"to":[21,36,62,78,99],"carry":[22],"out":[23],"corresponding":[25],"computations":[26,65],"lengthy.":[28],"With":[29],"this":[30],"work,":[31],"we":[32,91],"introduce":[33],"an":[34],"alternative":[35],"traditional":[37],"advection,":[38],"which":[39,58],"improves":[40],"on":[41],"performance":[42],"at":[43],"cost":[45],"of":[46,83],"decreased":[47],"accuracy.":[48,108],"Our":[49,70],"approach":[50,96],"centers":[51],"around":[52],"block":[53],"exterior":[54],"flow":[55,64],"maps":[56],"(BEFMs),":[57],"can":[59,97],"be":[60],"used":[61],"accelerate":[63],"by":[66],"reducing":[67],"redundant":[68],"calculations.":[69],"algorithm":[71],"uses":[72],"Lagrangian":[73],"interpolation,":[74],"but":[75],"falls":[76],"back":[77],"Eulerian":[79],"whenever":[81],"regions":[82],"high":[84],"error":[85],"encountered.":[87],"In":[88],"our":[89],"study,":[90],"demonstrate":[92],"that":[93],"BEFM-based":[95],"lead":[98],"significant":[100],"savings":[101],"in":[102,107],"time,":[103],"with":[104],"limited":[105],"loss":[106]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}