Maximum bounded 3-dimensional matching is MAX SNP-complete
Information Processing Letters
Which problems have strongly exponential complexity?
Journal of Computer and System Sciences
Computers and Intractability: A Guide to the Theory of NP-Completeness
Computers and Intractability: A Guide to the Theory of NP-Completeness
The complexity of satisfiability problems
STOC '78 Proceedings of the tenth annual ACM symposium on Theory of computing
Exact algorithms for NP-hard problems: a survey
Combinatorial optimization - Eureka, you shrink!
New algorithms for exact satisfiability
Theoretical Computer Science
Set Partitioning via Inclusion-Exclusion
SIAM Journal on Computing
Partitioning into Sets of Bounded Cardinality
Parameterized and Exact Computation
Cluster editing with locally bounded modifications
Discrete Applied Mathematics
Data stability in clustering: a closer look
ALT'12 Proceedings of the 23rd international conference on Algorithmic Learning Theory
Hi-index | 0.00 |
We consider the PARTITION INTO TRIANGLES problem on bounded degree graphs. We show that this problem is polynomial time solvable on graphs of maximum degree three by giving a linear time algorithm. We also show that this problem becomes NP-complete on graphs of maximum degree four. Moreover, we show that there is no subexponential time algorithm for this problem on maximum degree four graphs unless the Exponential Time Hypothesis fails. However, the partition into triangles problem for graphs of maximum degree at most four is in many cases practically solvable as we give an algorithm for this problem that runs in O(1.02220n) time and linear space. In this extended abstract, we will only give an O(1.02445n) time algorithm.