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arxiv: 1004.1956 · v3 · pith:2ST6N7WPnew · submitted 2010-04-12 · 💻 cs.DS · cs.DM

All Ternary Permutation Constraint Satisfaction Problems Parameterized Above Average Have Kernels with Quadratic Numbers of Variables

classification 💻 cs.DS cs.DM
keywords variablesternaryabovealphaaveragekernelsnumbersordering
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A ternary Permutation-CSP is specified by a subset $\Pi$ of the symmetric group $\mathcal S_3$. An instance of such a problem consists of a set of variables $V$ and a multiset of constraints, which are ordered triples of distinct variables of $V.$ The objective is to find a linear ordering $\alpha$ of $V$ that maximizes the number of triples whose ordering (under $\alpha$) follows a permutation in $\Pi$. We prove that all ternary Permutation-CSPs parameterized above average have kernels with quadratic numbers of variables.

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