activity
20182026
most citedOn the End-Vertex Problem of Graph Searches

8 citations · 17 across the 9 of their papers we have counts for

collaborators

15 papers

cs.DS2026

On Kernels and Leaves: Searching for Bare and Lush Trees

Jesse Beisegel, Ekkehard Köhler, Robert Scheffler +1

We study a variation of the classical Maximum (Minimum) Leaf Spanning Tree problem. In many applications, Depth-First Search (DFS) is used to compute a spanning tree of a graph. Su…

cs.DS2026

Breadth-First Search Trees with Many or Few Leaves

Jesse Beisegel, Ekkehard Köhler, Robert Scheffler +1

The Maximum (Minimum) Leaf Spanning Tree problem asks for a spanning tree with the largest (smallest) number of leaves. As spanning trees are often computed using graph search algo…

cs.DM2025

A Graph Width Perspective on Partially Ordered Hamiltonian Paths and Cycles II: Vertex and Edge Deletion Numbers

Jesse Beisegel, Katharina Klost, Kristin Knorr +2

We consider the problem of finding a Hamiltonian path or cycle with precedence constraints in the form of a partial order on the vertex set. We study the complexity for graph width…

cs.DM2025

Sandwich Monotonicity and Recognition of Weighted Graph Classes

Jesse Beisegel, Nina Chiarelli, Ekkehard Köhler +5

Edge-weighted graphs play an important role in the theory of Robinsonian matrices and similarity theory, particularly via the concept of level graphs, that is, graphs obtained from…

cs.DM2025

A Graph Width Perspective on Partially Ordered Hamiltonian Paths and Cycles I: Treewidth, Pathwidth, and Grid Graphs

Jesse Beisegel, Katharina Klost, Kristin Knorr +2

We consider the problem of finding a Hamiltonian path or a Hamiltonian cycle with precedence constraints in the form of a partial order on the vertex set. We show that the path pro…

cs.DM2025

A Graph Width Perspective on Partially Ordered Hamiltonian Paths

Jesse Beisegel, Katharina Klost, Kristin Knorr +2

We consider the problem of finding a Hamiltonian path with precedence constraints in the form of a partial order on the vertex set. This problem is known as Partially Ordered Hamil…

cs.DM2024

The Simultaneous Interval Number: A New Width Parameter that Measures the Similarity to Interval Graphs

Jesse Beisegel, Nina Chiarelli, Ekkehard Köhler +3

We propose a novel way of generalizing the class of interval graphs, via a graph width parameter called the simultaneous interval number. This parameter is related to the simultane…

cs.DM2024

Graph Search Trees and the Intermezzo Problem

Jesse Beisegel, Ekkehard Köhler, Fabienne Ratajczak +2

The last in-tree recognition problem asks whether a given spanning tree can be derived by connecting each vertex with its rightmost left neighbor of some search ordering. In this s…

cs.DM2024★ 4 cited

Computing Hamiltonian Paths with Partial Order Restrictions

Jesse Beisegel, Fabienne Ratajczak, Robert Scheffler

When solving the Hamiltonian path problem it seems natural to be given additional precedence constraints for the order in which the vertices are visited. For example one could deci…

cs.CL2023

Minimalist Grammar: Construction without Overgeneration

Isidor Konrad Maier, Johannes Kuhn, Jesse Beisegel +2

In this paper we give instructions on how to write a minimalist grammar (MG). In order to present the instructions as an algorithm, we use a variant of context free grammars (CFG)…

cs.DM2020★ 2 cited

Linear Time LexDFS on Chordal Graphs

Jesse Beisegel, Ekkehard Köhler, Robert Scheffler +1

Lexicographic Depth First Search (LexDFS) is a special variant of a Depth First Search (DFS), which was introduced by Corneil and Krueger in 2008. While this search has been used i…

math.CO2019★ 1 cited

Avoidable Vertices and Edges in Graphs

Jesse Beisegel, Maria Chudnovsky, Vladimir Gurvich +2

A vertex in a graph is simplicial if its neighborhood forms a clique. We consider three generalizations of the concept of simplicial vertices: avoidable vertices (also known as \te…

cs.DM2018

Recognizing Graph Search Trees

Jesse Beisegel, Carolin Denkert, Ekkehard Köhler +4

Graph searches and the corresponding search trees can exhibit important structural properties and are used in various graph algorithms. The problem of deciding whether a given span…

cs.DM2018★ 8 cited

On the End-Vertex Problem of Graph Searches

Jesse Beisegel, Carolin Denkert, Ekkehard Köhler +4

End vertices of graph searches can exhibit strong structural properties and are crucial for many graph algorithms. The problem of deciding whether a given vertex of a graph is an e…

cs.DM2018★ 2 cited

Characterising AT-free Graphs with BFS

Jesse Beisegel

An asteroidal triple free graph is a graph such that for every independent triple of vertices no path between any two avoids the third. In a recent result from Corneil and Stacho,…