Solving QSAT in sublinear depth

02/11/2019
by   Alberto Leporati, et al.
0

Among PSPACE-complete problems, QSAT, or quantified SAT, is one of the most used to show that the class of problems solvable in polynomial time by families of a given variant of P systems includes the whole PSPACE. However, most solutions require a membrane nesting depth that is linear with respect to the number of variables of the QSAT instance under consideration. While a system of a certain depth is needed, since depth 1 systems only allows to solve problems in P^#P, it was until now unclear if a linear depth was, in fact, necessary. Here we use P systems with active membranes with charges, and we provide a construction that proves that QSAT can be solved with a sublinear nesting depth of order n/ n, where n is the number of variables in the quantified formula given as input.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
08/14/2019

Placing quantified variants of 3-SAT and Not-All-Equal 3-SAT in the polynomial hierarchy

The complexity of variants of 3-SAT and Not-All-Equal 3-SAT is well stud...
research
07/01/2017

A criterion for "easiness" of certain SAT problems

A generalized 1-in-3SAT problem is defined and found to be in complexity...
research
01/12/2018

A Linear Complementarity Theorem to solve any Satisfiability Problem in conjunctive normal form in polynomial time

Any satisfiability problem in conjunctive normal form can be solved in p...
research
02/09/2021

Recursive Backdoors for SAT

A strong backdoor in a formula ϕ of propositional logic to a tractable c...
research
02/22/2019

Characterizing PSPACE with shallow non-confluent P systems

In P systems with active membranes, the question of understanding the po...
research
10/03/2019

Recognizing the Tractability in Big Data Computing

Due to the limitation on computational power of existing computers, the ...
research
06/28/2019

Solving Polynomial Systems with phcpy

The solutions of a system of polynomials in several variables are often ...

Please sign up or login with your details

Forgot password? Click here to reset