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The Incremental Knapsack Problem with Monotone Submodular All-or-Nothing Profits

Authors :
D'Onofrio, Federico
Faenza, Yuri
Zhang, Lingyi
Publication Year :
2023

Abstract

We study incremental knapsack problems with profits given by a special class of monotone submodular functions, that we dub all-or-nothing. We show that these problems are not harder to approximate than a less general class of modular incremental knapsack problems, that have been investigated in the literature. We also show that certain extensions to more general submodular functions are APX-hard.

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.2304.12967
Document Type :
Working Paper