SIAM Journal on Computing
Fixed-parameter tractability and completeness II: on completeness for W[1]
Theoretical Computer Science
An improved fixed-parameter algorithm for vertex cover
Information Processing Letters
A general method to speed up fixed-parameter-tractable algorithms
Information Processing Letters
Vertex cover: further observations and further improvements
Journal of Algorithms
On efficient fixed-parameter algorithms for weighted vertex cover
Journal of Algorithms
Upper bounds for vertex cover further improved
STACS'99 Proceedings of the 16th annual conference on Theoretical aspects of computer science
Parameterized Complexity
Efficient approximation schemes for geometric problems?
ESA'05 Proceedings of the 13th annual European conference on Algorithms
Intuitive algorithms and t-vertex cover
ISAAC'06 Proceedings of the 17th international conference on Algorithms and Computation
A novel parameterised approximation algorithm for minimum vertex cover
Theoretical Computer Science
Hi-index | 0.89 |
Memorization is a technique which allows to speed up exponential recursive algorithms at the cost of an exponential space complexity. This technique already leads to the currently fastest algorithm for fixed-parameter vertex cover, whose time complexity is O(1.2832^kk^1^.^5+kn), where n is the number of nodes and k is the size of the vertex cover. Via a refined use of memorization, we obtain an O(1.2759^kk^1^.^5+kn) algorithm for the same problem. We moreover show how to further reduce the complexity to O(1.2745^kk^4+kn).