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Faster algorithms for min-max-min robustness for combinatorial problems with budgeted uncertainty

; ; ;

In
European journal of operational research : EJOR 279(2), Seiten/Artikel-Nr.:308-319

ImpressumAmsterdam [u.a.] : Elsevier

ISSN0377-2217

Online
DOI: 10.1016/j.ejor.2019.05.045


Einrichtungen

  1. Lehrstuhl für Mathematik C (Analysis) (114510)
  2. Fachgruppe Mathematik (110000)


Thematische Einordnung (Klassifikation)
DDC: 650


Dokumenttyp
Journal Article

Format
online, print

Sprache
English

Anmerkung
Peer reviewed article

Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-85067522923
WOS Core Collection: WOS:000477091900003

Interne Identnummern
RWTH-2019-07370
Datensatz-ID: 765364

Beteiligte Länder
France, Germany

 GO


Medline ; Clarivate Analytics Master Journal List ; Current Contents - Engineering, Computing and Technology ; IF < 5 ; JCR ; NationallizenzNationallizenz ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection

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The record appears in these collections:
Document types > Articles > Journal Articles
Faculty of Mathematics, Computer Science and Natural Sciences (Fac.1) > Department of Mathematics
114510_20140620
Public records
Publications database
110000

 Record created 2019-08-12, last modified 2023-04-12



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