XSAT of Linear CNF Formulas

11/20/2017
by   Bernd. R. Schuh, et al.
0

Open questions with respect to the computational complexity of linear CNF formulas in connection with regularity and uniformity are addressed. In particular it is proven that any l-regular monotone CNF formula is XSAT-unsatisfiable if its number of clauses m is not a multiple of l. For exact linear formulas one finds surprisingly that l-regularity implies k-uniformity, with m = 1 + k(l-1)) and allowed k-values obey k(k-1) = 0 (mod l). Then the computational complexity of the class of monotone exact linear and l-regular CNF formulas with respect to XSAT can be determined: XSAT-satisfiability is either trivial, if m is not a multiple of l, or it can be decided in sub-exponential time, namely O(exp(n^^1/2)). Sub-exponential time behaviour for the wider class of regular and uniform linear CNF formulas can be shown for certain subclasses.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
11/20/2017

XSAT of Exact Linear CNF Classes

It is shown that l-regularity implies k-uniformity in exact linear CNF f...
research
12/21/2018

Sub-exponential complexity of regular linear CNF formulas

The study of regular linear conjunctive normal form (LCNF) formulas is o...
research
02/21/2015

Positive Neural Networks in Discrete Time Implement Monotone-Regular Behaviors

We study the expressive power of positive neural networks. The model use...
research
03/20/2018

Sub-exponential Upper Bound for #XSAT of some CNF Classes

We derive an upper bound on the number of models for exact satisfiabilit...
research
02/20/2020

The Complexity of Aggregates over Extractions by Regular Expressions

Regular expressions with capture variables, also known as "regex formula...
research
01/07/2020

Lifting with Simple Gadgets and Applications to Circuit and Proof Complexity

We significantly strengthen and generalize the theorem lifting Nullstell...
research
12/01/2017

Closed Formulas of the Arithmetic Mean Component Competitive Ratio for the 3-Objective and 4-Objective Time Series Search Problems

For the multi-objective time series search problem, Hasegawa and Itoh [P...

Please sign up or login with your details

Forgot password? Click here to reset