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Electronic Colloquium on Computational Complexity

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REPORTS > KEYWORD > RANDOM CNF:
Reports tagged with Random CNF:
TR01-031 | 5th April 2001
Eli Ben-Sasson, Nicola Galesi

Space Complexity of Random Formulae in Resolution

We study the space complexity of refuting unsatisfiable random $k$-CNFs in
the Resolution proof system. We prove that for any large enough $\Delta$,
with high probability a random $k$-CNF over $n$ variables and $\Delta n$
clauses requires resolution clause space of
$\Omega(n \cdot \Delta^{-\frac{1+\epsilon}{k-2-\epsilon}})$,
for any $0<\epsilon<1/2$. For constant $\Delta$, ... more >>>


TR07-041 | 20th April 2007
Nicola Galesi, Massimo Lauria

Extending Polynomial Calculus to $k$-DNF Resolution

Revisions: 1

We introduce an algebraic proof system Pcrk, which combines together {\em Polynomial Calculus} (Pc) and {\em $k$-DNF Resolution} (Resk).
This is a natural generalization to Resk of the well-known {\em Polynomial Calculus with Resolution} (Pcr) system which combines together Pc and Resolution.

We study the complexity of proofs in such ... more >>>


TR14-038 | 24th March 2014
Ilario Bonacina, Nicola Galesi, Neil Thapen

Total space in resolution

Revisions: 1

We show $\Omega(n^2)$ lower bounds on the total space used in resolution refutations of random $k$-CNFs over $n$ variables, and of the graph pigeonhole principle and the bit pigeonhole principle for $n$ holes. This answers the long-standing open problem of whether there are families of $k$-CNF formulas of size $O(n)$ ... more >>>


TR22-054 | 21st April 2022
Anastasia Sofronova, Dmitry Sokolov

A Lower Bound for $k$-DNF Resolution on Random CNF Formulas via Expansion

Random $\Delta$-CNF formulas are one of the few candidates that are expected to be hard to refute in any proof system. One of the frontiers in the direction of proving lower bounds on these formulas is the $k$-DNF Resolution proof system (aka $\mathrm{Res}(k)$). Assume we sample $m$ clauses over $n$ ... more >>>


TR23-086 | 8th June 2023
Dmitry Sokolov

Random $(\log n)$-CNF are Hard for Cutting Planes (Again)

The random $\Delta$-CNF model is one of the most important distribution over $\Delta\text{-}\mathrm{SAT}$ instances. It is closely connected to various areas of computer science, statistical physics, and is a benchmark for satisfiability algorithms. Fleming, Pankratov, Pitassi, and Robere and independently Hrubes and Pudlak showed that when $\Delta = \Theta(\log n)$, ... more >>>




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