Complexity Aspects of Homomorphisms of Ordered Graphs
By: Michal Čertík , Andreas Emil Feldmann , Jaroslav Nešetřil and more
Potential Business Impact:
Helps computers solve tricky graph puzzles faster.
We examine ordered graphs, defined as graphs with linearly ordered vertices, from the perspective of homomorphisms (and colorings) and their complexities. We demonstrate the corresponding computational and parameterized complexities, along with algorithms associated with related problems. These questions are interesting, and we show that numerous problems lead to various complexities. The reduction from homomorphisms of unordered structures to homomorphisms of ordered graphs is proved, achieved with the use of ordered bipartite graphs. We then determine the NP-completeness of the problem of finding ordered homomorphisms of ordered graphs and the XP and W[1]-hard nature of this problem parameterized by the number of vertices of the image ordered graph. Classes of ordered graphs for which this problem can be solved in polynomial time are also presented.
Similar Papers
On Computational Aspects of Ordered Matching Problems
Computational Complexity
Helps computers solve tricky matching puzzles faster.
On Computational Aspects of Cores of Ordered Graphs
Computational Complexity
Finds simplest version of connected data.
Dichotomy for orderings?
Computational Complexity
Makes hard computer problems solvable, but not always fast.