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cs.DS2026

On the Parameterized Complexity of Bounded-Density Vertex Deletion

Jakob Raupach, Tom-Lukas Breitkopf, Anton Herrmann +1

We explore the parameterized complexity of Bounded Density Vertex Deletion (BDVD): given a graph , an integer budget , and a target density , the task is to determine…

cs.DS2026

Designing Approximate Binary Trees for Trees

Leon Kellerhals, Mitja Krebs, André Nichterlein +1

We study the following problem that is motivated by demand-aware network design: Given a tree~, the task is to find a binary tree~ on the same vertex set. The objective is to…

cs.DS2026

Parameterized Algorithms for Computing MAD Trees

Tom-Lukas Breitkopf, Vincent Froese, Anton Herrmann +2

We consider the well-studied problem of finding a spanning tree with minimum average distance between vertex pairs (called a MAD tree). This is a classic network design problem whi…

cs.DS2026

Density Matters: A Complexity Dichotomy of Deleting Edges to Bound Subgraph Density

Matthias Bentert, Tom-Lukas Breitkopf, Vincent Froese +2

We study -Bounded-Density Edge Deletion (-BDED), where given an undirected graph , the task is to remove as few edges as possible to obtain a graph where no subgrap…

cs.DS2024

Destroying Densest Subgraphs is Hard

Cristina Bazgan, André Nichterlein, Sofia Vazquez Alferez

We analyze the computational complexity of the following computational problems called Bounded-Density Edge Deletion and Bounded-Density Vertex Deletion: Given a graph , a budge…