On the efficiency of polynomial time approximation schemes
Information Processing Letters
Computers and Intractability: A Guide to the Theory of NP-Completeness
Computers and Intractability: A Guide to the Theory of NP-Completeness
The Parameterized Complexity of Counting Problems
SIAM Journal on Computing
Parameterized Complexity
Parameterizing above or below guaranteed values
Journal of Computer and System Sciences
Efficient approximation of min set cover by moderately exponential algorithms
Theoretical Computer Science
Efficient Approximation of Combinatorial Problems by Moderately Exponential Algorithms
WADS '09 Proceedings of the 11th International Symposium on Algorithms and Data Structures
Algorithms and theory of computation handbook
Improved approximations for hard optimization problems via problem instance classification
Rainbow of computer science
Discrete Applied Mathematics
The parameterized complexity of local consistency
CP'11 Proceedings of the 17th international conference on Principles and practice of constraint programming
Approximating MAX SAT by moderately exponential and parameterized algorithms
TAMC'12 Proceedings of the 9th Annual international conference on Theory and Applications of Models of Computation
The Multivariate Algorithmic Revolution and Beyond
Parameterized approximability of the disjoint cycle problem
ICALP'07 Proceedings of the 34th international conference on Automata, Languages and Programming
Completely inapproximable monotone and antimonotone parameterized problems
Journal of Computer and System Sciences
Efficient algorithms for the max k-vertex cover problem
TCS'12 Proceedings of the 7th IFIP TC 1/WG 202 international conference on Theoretical Computer Science
Fast algorithms for min independent dominating set
Discrete Applied Mathematics
Exponential approximation schemata for some network design problems
Journal of Discrete Algorithms
An exponential time 2-approximation algorithm for bandwidth
Theoretical Computer Science
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Up to now, most work in the area of parameterized complexity has focussed on exact algorithms for decision problems. The goal of this paper is to apply parameterized ideas to approximation. We begin exploration of parameterized approximation problems, where the problem in question is a parameterized decision problem, and the required approximation factor is treated as a second parameter for the problem.