We propose a proof-theoretic approach for gaining evidence that certain parameterized problems are not fixed-parameter tractable. We consider proofs that witness that a given propositional CNF formula cannot be satisfied by a truth assignment that sets at most k variables to true, considering k as the parameter (we call such a formula a parameterized contradiction). One could separate the parameterized complexity classes FPT and W(M. Cesati, 2006) by showing that there is no fpt-bounded parameterized proof system, i.e., that there is no proof system that admits proofs of size f(k)nO(1) where f is a computable function and n represents the size of the propositional formula. By way of a first step, we introduce the system of parameterized tre...
Propositional Proof Complexity is the area of Computational Complexity that studies the length of pr...
We exhibit an unusually strong trade-off between resolution proof width and tree-like proof size. Na...
The PCP Theorem is one of the most stunning results in computational complexity theory, a culminatio...
We propose a proof-theoretic approach for gaining evidence that certain parameterized problems are n...
We propose a proof-theoretic approach for gaining evidence that certain parameterized problems are n...
We propose a proof-theoretic approach for gaining evidence that certain parameterized problems are n...
We propose a proof-theoretic approach for gaining evidence that certain parameterized problems are n...
We propose a proof-theoretic approach for gaining evidence that certain parameterized problems are n...
We examine the proof-theoretic strength of parameterized tree-like resolution—a proof sys-tem for th...
A general framework for parameterized proof complexity was introduced by Dantchev et al. [2007]. The...
AbstractMany relevant intractable problems become tractable if some problem parameter is fixed. Howe...
A general framework for parameterized proof complexity was introduced by Dantchev, Martin, and Szeid...
Proof complexity focuses on the complexity of theorem proving procedures, a topic which is tightly l...
A general framework for parameterized proof complexity was introduced by Dantchev, Martin, and Szeid...
A general framework for parameterized proof complexity was introduced by Dantchev et al. [2007]. The...
Propositional Proof Complexity is the area of Computational Complexity that studies the length of pr...
We exhibit an unusually strong trade-off between resolution proof width and tree-like proof size. Na...
The PCP Theorem is one of the most stunning results in computational complexity theory, a culminatio...
We propose a proof-theoretic approach for gaining evidence that certain parameterized problems are n...
We propose a proof-theoretic approach for gaining evidence that certain parameterized problems are n...
We propose a proof-theoretic approach for gaining evidence that certain parameterized problems are n...
We propose a proof-theoretic approach for gaining evidence that certain parameterized problems are n...
We propose a proof-theoretic approach for gaining evidence that certain parameterized problems are n...
We examine the proof-theoretic strength of parameterized tree-like resolution—a proof sys-tem for th...
A general framework for parameterized proof complexity was introduced by Dantchev et al. [2007]. The...
AbstractMany relevant intractable problems become tractable if some problem parameter is fixed. Howe...
A general framework for parameterized proof complexity was introduced by Dantchev, Martin, and Szeid...
Proof complexity focuses on the complexity of theorem proving procedures, a topic which is tightly l...
A general framework for parameterized proof complexity was introduced by Dantchev, Martin, and Szeid...
A general framework for parameterized proof complexity was introduced by Dantchev et al. [2007]. The...
Propositional Proof Complexity is the area of Computational Complexity that studies the length of pr...
We exhibit an unusually strong trade-off between resolution proof width and tree-like proof size. Na...
The PCP Theorem is one of the most stunning results in computational complexity theory, a culminatio...