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Shortest Reconfiguration of Matchings
- Source :
- International Workshop on Graph-Theoretic Concepts in Computer Science (WG) 2019, WG 2019-45th International Workshop on Graph-Theoretic Concepts in Computer Science, WG 2019-45th International Workshop on Graph-Theoretic Concepts in Computer Science, Jun 2019, Vall de Núria, Spain. pp.162-174, ⟨10.1007/978-3-030-30786-8_13⟩, Graph-Theoretic Concepts in Computer Science ISBN: 9783030307851, WG
- Publication Year :
- 2019
- Publisher :
- HAL CCSD, 2019.
-
Abstract
- Imagine that unlabelled tokens are placed on the edges of a graph, such that no two tokens are placed on incident edges. A token can jump to another edge if the edges having tokens remain independent. We study the problem of determining the distance between two token configurations (resp., the corresponding matchings), which is given by the length of a shortest transformation. We give a polynomial-time algorithm for the case that at least one of the two configurations is not inclusion-wise maximal and show that otherwise, the problem admits no polynomial-time sublogarithmic-factor approximation unless P = NP. Furthermore, we show that the distance of two configurations in bipartite graphs is fixed-parameter tractable parameterized by the size $d$ of the symmetric difference of the source and target configurations, and obtain a $d^\varepsilon$-factor approximation algorithm for every $\varepsilon > 0$ if additionally the configurations correspond to maximum matchings. Our two main technical tools are the Edmonds-Gallai decomposition and a close relation to the Directed Steiner Tree problem. Using the former, we also characterize those graphs whose corresponding configuration graphs are connected. Finally, we show that deciding if the distance between two configurations is equal to a given number $\ell$ is complete for the class $D^P$, and deciding if the diameter of the graph of configurations is equal to $\ell$ is $D^P$-hard.<br />31 pages, 3 figures
- Subjects :
- FOS: Computer and information sciences
Matching (graph theory)
Discrete Mathematics (cs.DM)
Matchings
[INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS]
Parameterized complexity
G.2.1
0102 computer and information sciences
02 engineering and technology
G.2.2
[INFO.INFO-DM]Computer Science [cs]/Discrete Mathematics [cs.DM]
01 natural sciences
Steiner tree problem
Combinatorics
symbols.namesake
Computer Science - Data Structures and Algorithms
0202 electrical engineering, electronic engineering, information engineering
Data Structures and Algorithms (cs.DS)
Connection (algebraic framework)
Symmetric difference
Mathematics
Polynomial (hyperelastic model)
Approximation algorithm
F.2.2
I.1.2
010201 computation theory & mathematics
Fixed-parameter tractability
Reconfiguration
Bipartite graph
symbols
Approximation hardness
020201 artificial intelligence & image processing
68W05, 68Q25, 68R10
Computer Science - Discrete Mathematics
MathematicsofComputing_DISCRETEMATHEMATICS
Subjects
Details
- Language :
- English
- ISBN :
- 978-3-030-30785-1
- ISBNs :
- 9783030307851
- Database :
- OpenAIRE
- Journal :
- International Workshop on Graph-Theoretic Concepts in Computer Science (WG) 2019, WG 2019-45th International Workshop on Graph-Theoretic Concepts in Computer Science, WG 2019-45th International Workshop on Graph-Theoretic Concepts in Computer Science, Jun 2019, Vall de Núria, Spain. pp.162-174, ⟨10.1007/978-3-030-30786-8_13⟩, Graph-Theoretic Concepts in Computer Science ISBN: 9783030307851, WG
- Accession number :
- edsair.doi.dedup.....3c6e6e205262604c7e854d4e3b7ead11