A general method to speed up fixed-parameter-tractable algorithms
Information Processing Letters
Improved Parameterized Algorithms for Planar Dominating Set
MFCS '02 Proceedings of the 27th International Symposium on Mathematical Foundations of Computer Science
Efficient Data Reduction for DOMINATING SET: A Linear Problem Kernel for the Planar Case
SWAT '02 Proceedings of the 8th Scandinavian Workshop on Algorithm Theory
The Dominating Set Problem Is Fixed Parameter Tractable for Graphs of Bounded Genus
SWAT '02 Proceedings of the 8th Scandinavian Workshop on Algorithm Theory
Faster Fixed Parameter Tractable Algorithms for Undirected Feedback Vertex Set
ISAAC '02 Proceedings of the 13th International Symposium on Algorithms and Computation
Improved Exact Algorithms for MAX-SAT
LATIN '02 Proceedings of the 5th Latin American Symposium on Theoretical Informatics
WG '02 Revised Papers from the 28th International Workshop on Graph-Theoretic Concepts in Computer Science
Computational Study on Dominating Set Problem of Planar Graphs
COCOA 2008 Proceedings of the 2nd international conference on Combinatorial Optimization and Applications
Roman domination: a parameterized perspective
SOFSEM'06 Proceedings of the 32nd conference on Current Trends in Theory and Practice of Computer Science
Fast algorithms for hard graph problems: bidimensionality, minors, and local treewidth
GD'04 Proceedings of the 12th international conference on Graph Drawing
Survey: Subexponential parameterized algorithms
Computer Science Review
Subexponential parameterized algorithms
ICALP'07 Proceedings of the 34th international conference on Automata, Languages and Programming
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We establish refined search tree techniques for the parameterized dominating set problem on planar graphs. We derive a fixed parameter algorithm with running time O(8kn), where k is the size of the dominating set and n is the number of vertices in the graph. For our search tree, we firstly provide a set of reduction rules. Secondly, we prove an intricate branching theorem based on the Euler formula. In addition, we give an example graph showing that the bound of the branching theorem is optimal with respect to our reduction rules. Our final algorithm is very easy (to implement); its analysis, however, is involved.