Diverse fair allocations: complexity and algorithms

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dc.contributor.author Mittal, Harshil
dc.contributor.author Nanoti, Saraswati Girish
dc.contributor.author Sethia, Aditi
dc.coverage.spatial United States of America
dc.date.accessioned 2024-09-04T10:52:36Z
dc.date.available 2024-09-04T10:52:36Z
dc.date.issued 2024-12
dc.identifier.citation Mittal, Harshil; Nanoti, Saraswati Girish and Sethia, Aditi, "Diverse fair allocations: complexity and algorithms", Discrete Applied Mathematics, DOI: 10.1016/j.dam.2024.07.045, vol. 359, pp. 343-353, Dec. 2024.
dc.identifier.issn 0166-218X
dc.identifier.issn 1872-6771
dc.identifier.uri https://doi.org/10.1016/j.dam.2024.07.045
dc.identifier.uri https://repository.iitgn.ac.in/handle/123456789/10393
dc.description.abstract In this work, we initiate the study of diversity of solutions in the context of fair division of indivisible goods. In particular, we explore the notions of disjoint, distinct and symmetric allocations and study their complexity in terms of the fairness notions of envy-freeness and equitability up to one item. We show that for binary valuations, the above problems are polynomial time solvable. In contrast we show NP-hardness of disjoint and symmetric case, when the valuations are additive.
dc.description.statementofresponsibility by Harshil Mittal, Saraswati Girish Nanoti and Aditi Sethia
dc.format.extent vol. 359, pp. 343-353
dc.language.iso en_US
dc.publisher Elsevier
dc.title Diverse fair allocations: complexity and algorithms
dc.type Article
dc.relation.journal Discrete Applied Mathematics


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