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Measure Theory

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dc.contributor.authorJung, S.-M.-
dc.date.accessioned2023-07-26T06:40:53Z-
dc.date.available2023-07-26T06:40:53Z-
dc.date.created2023-07-26-
dc.date.issued2023-
dc.identifier.issn1660-8046-
dc.identifier.urihttps://scholarworks.bwise.kr/hongik/handle/2020.sw.hongik/31530-
dc.description.abstractThe concept of a measure is a generalization and formalization of length, area, volume, and other common notions such as mass and probability of events. These seemingly different concepts have many similarities and can often be unified by the concept of measure. Measures are fundamental to probability theory and integration theory. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.-
dc.language영어-
dc.language.isoen-
dc.publisherSpringer Science and Business Media Deutschland GmbH-
dc.titleMeasure Theory-
dc.typeArticle-
dc.contributor.affiliatedAuthorJung, S.-M.-
dc.identifier.doi10.1007/978-3-031-30886-4_3-
dc.identifier.scopusid2-s2.0-85164002187-
dc.identifier.bibliographicCitationFrontiers in Mathematics, v.Part F808, pp.55 - 90-
dc.relation.isPartOfFrontiers in Mathematics-
dc.citation.titleFrontiers in Mathematics-
dc.citation.volumePart F808-
dc.citation.startPage55-
dc.citation.endPage90-
dc.type.rimsART-
dc.type.docTypeBook Chapter-
dc.description.journalClass1-
dc.description.journalRegisteredClassscopus-
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