Parameterizing above guaranteed values: MaxSat and MaxCut
Journal of Algorithms
Which problems have strongly exponential complexity?
Journal of Computer and System Sciences
On decomposing a hypergraph into k connected sub-hypergraphs
Discrete Applied Mathematics - Submodularity
Parameterized Complexity Theory (Texts in Theoretical Computer Science. An EATCS Series)
Parameterized Complexity Theory (Texts in Theoretical Computer Science. An EATCS Series)
Some topics in analysis of boolean functions
STOC '08 Proceedings of the fortieth annual ACM symposium on Theory of computing
Parameterizing above or below guaranteed values
Journal of Computer and System Sciences
Even Faster Algorithm for Set Splitting!
Parameterized and Exact Computation
Solving MAX-r-SAT above a tight lower bound
SODA '10 Proceedings of the twenty-first annual ACM-SIAM symposium on Discrete Algorithms
ESA'10 Proceedings of the 18th annual European conference on Algorithms: Part I
A probabilistic approach to problems parameterized above or below tight bounds
Journal of Computer and System Sciences
Systems of linear equations over F2 and problems parameterized above average
SWAT'10 Proceedings of the 12th Scandinavian conference on Algorithm Theory
Improved parameterized algorithms for above average constraint satisfaction
IPEC'11 Proceedings of the 6th international conference on Parameterized and Exact Computation
Parameterized complexity of maxsat above average
LATIN'12 Proceedings of the 10th Latin American international conference on Theoretical Informatics
Parameterized Complexity
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A classical result by Edwards states that every connected graph G on n vertices and m edges has a cut of size at least m/2 + {n-1}/4. We generalize this result to r-hypergraphs, with a suitable notion of connectivity that coincides with the notion of connectivity on graphs for r=2. More precisely, we show that for every "partition connected" r-hypergraph (every hyperedge is of size at most r) H over a vertex set V(H), and edge set E(H)={e1,e2,…em}, there always exists a 2-coloring of V(H) with {1,−1} such that the number of hyperedges that have a vertex assigned 1 as well as a vertex assigned −1 (or get "split") is at least μH + {n-1}/{r2{r-1}}. Here μH = ∑{i=1}m (1 - 2/2|ei|) = ∑{i=1}m (1 - 2/21-|ei|). We use our result to show that a version of r-Set Splitting, namely, Above Averager-Set Splitting (AA-r-SS), is fixed parameter tractable (FPT). Observe that a random 2-coloring that sets each vertex of the hypergraph H to 1 or −1 with equal probability always splits at least μH hyperedges. In AA-r-SS, we are given an r-hypergraph H and a positive integer k and the question is whether there exists a 2-coloring of V(H) that splits at least μH+k hyperedges. We give an algorithm for AA-r-SS that runs in time f(k)nO(1), showing that it is FPT, even when r=c1 logn, for every fixed constant c1r-SS was known to be FPT only for constant r. We also complement our algorithmic result by showing that unless NP ⊆ DTIME(nloglogn), AA-⌈logn ⌉-SS is not in XP.