A Polyhedral Study of Lifted Multicuts

Andres, Bjoern; Di Gregorio, Silvia; Irmai, Jannik; Lange, Jan-Hendrik

doi:10.1016/j.disopt.2022.100757

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A Polyhedral Study of Lifted Multicuts

Andres, B., Di Gregorio, S., Irmai, J., & Lange, J.-H. (2023). A Polyhedral Study of Lifted Multicuts. Discrete Optimization, 47: 100757. doi:10.1016/j.disopt.2022.100757.

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Item Permalink: https://hdl.handle.net/21.11116/0000-000C-C5ED-B Version Permalink: https://hdl.handle.net/21.11116/0000-000C-C5EE-A

Genre: Journal Article

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Creators:
Andres, Bjoern¹, Author
Di Gregorio, Silvia¹, Author
Irmai, Jannik¹, Author
Lange, Jan-Hendrik², Author

Affiliations:
1External Organizations, ou_persistent22
2Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society, ou_1116547

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Language(s): eng - English

Dates: Published Online: 2023Date issued: 2023

Publication Status: Issued

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Identifiers: BibTex Citekey: Andres23
DOI: 10.1016/j.disopt.2022.100757

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Title: Discrete Optimization

Source Genre: Journal

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Publ. Info: Amsterdam : Elsevier

Pages: - Volume / Issue: 47 Sequence Number: 100757 Start / End Page: - Identifier: ISSN: 1572-5286