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Constrained consensus-based optimization and numerical heuristics for the few particle regime.

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Title: Constrained consensus-based optimization and numerical heuristics for the few particle regime.
Authors: Beddrich, Jonas1, beddrich@ma.tum.de, Chenchene, Enis2, enis.chenchene@univie.ac.at, Fornasier, Massimo1,3,4, massimo.fornasier@cit.tum.de, Huang, Hui5, huihuang1@hnu.edu.cn, Wohlmuth, Barbara1, wohlmuth@cit.tum.de
Source: Journal of Global Optimization; Jun2026, Vol. 95 Issue 2, p495-548, 54p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 195151207
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=195151207
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      – Type: doi
        Value: 10.1007/s10898-026-01612-x
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      – Code: eng
        Text: English
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        PageCount: 54
        StartPage: 495
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      – TitleFull: Constrained consensus-based optimization and numerical heuristics for the few particle regime.
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            NameFull: Beddrich, Jonas
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            – D: 01
              M: 06
              Text: Jun2026
              Type: published
              Y: 2026
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              Value: 95
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