Abstract

Optimal Morse matchings reveal essential structures of cell complexes which lead to powerful tools to study discrete geometrical objects, in particular discrete 3-manifolds. However, such matchings are known to be NP-hard to compute on 3-manifolds, through a reduction to the erasability problem. Here, we refine the study of the complexity of problems related to discrete Morse theory in terms of parameterized complexity. On the one hand we prove that the erasability problem is W[P]-complete on the natural parameter. On the other hand we propose an algorithm for computing optimal Morse matchings on triangulations of 3-manifolds which is fixed-parameter tractable in the treewidth of the bipartite graph representing the adjacency of the 1- and 2-simplexes. This algorithm also shows fixed parameter tractability for problems such as erasability and maximum alternating cycle-free matching.

Keywords:
Parameterized complexity Discrete Morse theory Bipartite graph Simplex Adjacency list Mathematics Combinatorics Treewidth Computational complexity theory Discrete mathematics Graph theory Reduction (mathematics) Morse theory Graph Algorithm Pathwidth Pure mathematics Line graph Geometry

Metrics

2
Cited By
0.66
FWCI (Field Weighted Citation Impact)
0
Refs
0.77
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Topological and Geometric Data Analysis
Physical Sciences →  Computer Science →  Computational Theory and Mathematics
Digital Image Processing Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Computational Geometry and Mesh Generation
Physical Sciences →  Computer Science →  Computer Graphics and Computer-Aided Design

Related Documents

JOURNAL ARTICLE

Parameterized Complexity of Discrete Morse Theory

Benjamin A. BurtonThomas LewinerJoão PaixãoJonathan Spreer

Journal:   ACM Transactions on Mathematical Software Year: 2016 Vol: 42 (1)Pages: 1-24
BOOK-CHAPTER

Parameterized Complexity Theory

Ronald de Haan

Lecture notes in computer science Year: 2019 Pages: 33-41
BOOK-CHAPTER

PARAMETERIZED COMPLEXITY THEORY

Rolf Niedermeier

Year: 2006 Pages: 205-236
© 2026 ScienceGate Book Chapters — All rights reserved.