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The Exact Satisfiability problem, XSAT, is defined as the problem of finding a satisfying assignment to a formula in CNF such that there is exactly one literal in each clause assigned to be 1 and the other literals in the same clause are…

Data Structures and Algorithms · Computer Science 2020-07-16 Gordon Hoi , Sanjay Jain , Frank Stephan

NP-Complete problems have an important attribute that if one NP-Complete problem can be solved in polynomial time, all NP-Complete problems will have a polynomial solution. The 3-CNF-SAT problem is a NP-Complete problem and the primary…

Data Structures and Algorithms · Computer Science 2017-04-07 Belal Qasemi

A generalized 1-in-3SAT problem is defined and found to be in complexity class P when restricted to a certain subset of CNF expressions. In particular, 1-in-kSAT with no restrictions on the number of literals per clause can be decided in…

Computational Complexity · Computer Science 2017-07-04 Bernd R. Schuh

In this paper, we propose an algorithm for the positive one-in-three satisfiability problem (Pos1in3SAT). The proposed algorithm can efficiently decide the existence of a satisfying assignment in all assignments for a given formula by using…

Data Structures and Algorithms · Computer Science 2017-09-19 Shunichi Matsubara

We show that the CNF satisfiability problem (SAT) can be solved in time $O^*(1.1199^{(d-2)n})$, where $d$ is either the maximum number of occurrences of any variable or the average number of occurrences of all variables if no variable…

Data Structures and Algorithms · Computer Science 2024-11-13 Sanjay Jain , Tzeh Yuan Neoh , Frank Stephan

The Exact Satisfiability problem, XSAT, is defined as the problem of finding a satisfying assignment to a formula $\varphi$ in CNF such that exactly one literal in each clause is assigned to be "1" and the other literals in the same clause…

Data Structures and Algorithms · Computer Science 2020-12-15 Gordon Hoi

The Exact Satisfiability problem asks if we can find a satisfying assignment to each clause such that exactly one literal in each clause is assigned $1$, while the rest are all assigned $0$. We can generalise this problem further by…

Data Structures and Algorithms · Computer Science 2021-08-02 Gordon Hoi , Frank Stephan

The question of whether the complexity class P is equal to the complexity class NP has been a seemingly intractable problem for over 4 decades. It has been clear that if an algorithm existed that would solve the problems in the NP class in…

Computational Complexity · Computer Science 2015-06-04 Jason W. Steinmetz

A 3-SAT problem is called positive and planar if all the literals are positive and the clause-variable incidence graph (i.e., SAT graph) is planar. The NAE 3-SAT and 1-in-3-SAT are two variants of 3-SAT that remain NP-complete even when…

Computational Complexity · Computer Science 2021-08-31 Md. Manzurul Hasan , Debajyoti Mondal , Md. Saidur Rahman

Presentation of a Method for determining whether a problem 3Sat has solution, and if yes to find one, in time max O(n^15). Is thus proved that the problem 3Sat is fully resolved in polynomial time and therefore that it is in P, by the work…

Computational Complexity · Computer Science 2010-09-14 Luigi Salemi

In this paper, we provide a deterministic polynomial time algorithm that determines satisfiability of 3-SAT. The complexity analysis for the algorithm takes into account no efficiency and yet provides a low enough bound, that efficient…

Data Structures and Algorithms · Computer Science 2020-07-02 Ortho Flint , Asanka Wickramasinghe , Jason Brasse , Christopher Fowler

Article describes a class of efficient algorithms for 3SAT and their generalizations on SAT.

Computational Complexity · Computer Science 2008-07-15 Sergey Gubin

In signed k-SAT problems, one fixes a set M and a set $\mathcal S$ of subsets of M, and is given a formula consisting of a disjunction of m clauses, each of which is a conjunction of k literals. Each literal is of the form "$x \in S$",…

Combinatorics · Mathematics 2013-08-15 Kathrin Ballerstein , Dirk Oliver Theis

It is shown that any two clauses in an instance of 3SAT sharing the same terminal which is positive in one clause and negated in the other can imply a new clause composed of the remaining terms from both clauses. Clauses can also imply…

Computational Complexity · Computer Science 2024-06-14 Robert Quigley

In this paper, we prove that the general CNF satisfiability problem can be solved in $O^*(1.0638^L)$ time, where $L$ is the length of the input CNF-formula (i.e., the total number of literals in the formula), which improves the previous…

Data Structures and Algorithms · Computer Science 2022-08-18 Junqiang Peng , Mingyu Xiao

We illustrate the strength of Algebraic Methods, adapting Gaussian Elimination and Substitution to the problem of Exact Boolean Satisfiability. For 1-in-3 SAT with non-negated literals we are able to obtain considerably smaller equivalent…

Computational Complexity · Computer Science 2020-11-02 Valentin Bura

The Inverse 3-SAT problem is known to be coNP Complete. This article shows a new interesting way to solve directly the problem by using closure under resolution and partial assignment properties. An algorithm is proposed which lets solve…

Data Structures and Algorithms · Computer Science 2013-08-27 Xavier Labouze

The #2-SAT and #3-SAT problems involve counting the number of satisfying assignments (also called models) for instances of 2-SAT and 3-SAT, respectively. In 2010, Zhou et al. proposed an $\mathcal{O}^*(1.1892^m)$-time algorithm for #2-SAT…

Data Structures and Algorithms · Computer Science 2025-07-22 Junqiang Peng , Zimo Sheng , Mingyu Xiao

Three algorithms are presented that determine the existence of satisfying assignments for 3SAT Boolean satisfiability expressions. One algorithm is presented for determining an instance of a satisfying assignment, where such exists. The…

Computational Complexity · Computer Science 2019-12-16 Charles Sauerbier

We investigate the NP-Complete problem SAT and the geometry of its instances. For a particular type that we call {\it non-interlaced formulas}, we propose a polynomial time algorithm for their resolution using graphs and matrices.

Computational Complexity · Computer Science 2019-03-26 Dr Serge Burckel
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