Improved Hardness and Approximations for Cardinality-Based Minimum $s$-$t$ Cuts Problems in Hypergraphs
Florian Adriaens, Vedangi Bengali, Iiro Kumpulainen, Nikolaj, Tatti, Nate Veldt

TL;DR
This paper investigates the computational complexity and approximation strategies for cardinality-based minimum $s$-$t$ cuts in hypergraphs, proving NP-hardness in certain cases and developing optimal approximation methods.
Contribution
It establishes NP-hardness results for the problem outside the submodular region and introduces an optimal projection strategy for non-submodular penalties.
Findings
NP-hardness for hypergraphs with $r extgreater 3$ and specific weight conditions
A projection strategy for non-submodular penalties that is provably optimal
Matching approximation hardness bounds under the Unique Games Conjecture
Abstract
In hypergraphs, an edge that crosses a cut (i.e., a bipartition of nodes) can be split in several ways, depending on how many nodes are placed on each side of the cut. A cardinality-based splitting function assigns a nonnegative cost of for each cut hyperedge with exactly nodes on the side of the cut that contains the minority of nodes from . The cardinality-based minimum - cut aims to find an - cut with minimum total cost. We answer a recently posed open question by proving that the problem becomes NP-hard outside the submodular region shown by~\cite{veldt2022hypergraph}. Our result also holds for -uniform hypergraphs with . Specifically for -uniform hypergraphs we show that the problem is NP-hard for all , and additionally prove that the No-Even-Split problem is NP-hard. We then turn our attention to approximation strategies and…
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Taxonomy
TopicsOptimization and Packing Problems · Vehicle Routing Optimization Methods · Advanced Manufacturing and Logistics Optimization
