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Previously the author has demonstrated that a representative polynomial search partition is required to solve a NP-complete problem in deterministic polynomial time. It has also been demonstrated that finding such a partition can only be…

Computational Complexity · Computer Science 2008-09-07 Jerrald Meek

This paper considers the question of P = NP in context of the polynomial time SAT algorithm. It posits proposition dependent on existence of conjectured problem that even where the algorithm is shown to solve SAT in polynomial time it…

Computational Complexity · Computer Science 2009-11-30 C. Sauerbier

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

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 examine the claims made by the paper "A polynomial-time algorithm for 3-SAT" by Lizhi Du. The paper claims to provide a polynomial-time algorithm for solving the NP-complete problem 3-SAT. In examining the paper's…

Computational Complexity · Computer Science 2024-04-09 Yumeng He , Matan Kotler-Berkowitz , Harry Liuson , Zeyu Nie

This article finds the answer to the question: for any problem from which a non-deterministic algorithm can be derived which verifies whether an answer is correct or not in polynomial time (complexity class NP), is it possible to create an…

Computational Complexity · Computer Science 2024-01-30 Daniel Cardona Delgado

The P versus NP problem asks whether every language verifiable in polynomial time can also be decided in deterministic polynomial time. In this paper, we present a constructive proof that P = NP by introducing a universal, graph-based…

Computational Complexity · Computer Science 2026-04-02 Changryeol Lee

The Boolean constraint satisfaction problem 3-SAT is arguably the canonical NP-complete problem. In contrast, 2-SAT can not only be decided in polynomial time, but in fact in deterministic linear time. In 2006, Bravyi proposed a physically…

Quantum Physics · Physics 2016-10-25 Niel de Beaudrap , Sevag Gharibian

In complexity theory, there exists a famous unsolved problem whether NP can be P or not. In this paper, we discuss this aspect in SAT (satisfiability) problem, and it is shown that the SAT can be solved in plynomial time by means of quantum…

Quantum Physics · Physics 2008-11-26 Masanori Ohya , Natsuki Masuda

NP complete problem is one of the most challenging issues. The question of whether all problems in NP are also in P is generally considered one of the most important open questions in mathematics and theoretical computer science as it has…

Computational Complexity · Computer Science 2015-05-04 Wenhong Tian , GuoZhong Li , Xinyang Wang , Qin Xiong , Yaqiu Jiang

We show the NP-completeness of the existential theory of term algebras with the Knuth-Bendix order by giving a nondeterministic polynomial-time algorithm for solving Knuth-Bendix ordering constraints.

Logic in Computer Science · Computer Science 2007-05-23 Konstantin Korovin , Andrei Voronkov

In this paper, we analyze the argument made by Kumar in the technical report "Necessary and Sufficient Condition for Satisfiability of a Boolean Formula in CNF and Its Implications on P versus NP problem." The paper claims to present a…

Computational Complexity · Computer Science 2021-12-14 Michael C. Chavrimootoo , Henry B. Welles

By creating some new concepts and methods: checking tree, long unit path, direct contradiction unit pair, indirect contradiction unit pair, additional contradiction unit pair, 2-unit layer and 3-unit layer, redundant units, and destroying…

Data Structures and Algorithms · Computer Science 2026-04-23 Lizhi Du

We present a deterministic polynomial-time algorithm that solves the 3-satisfiability problem.

Computational Complexity · Computer Science 2012-01-09 Amar Mukherjee

Any satisfiability problem in conjunctive normal form can be solved in polynomial time by reducing it to a 3-sat formulation and transforming this to a Linear Complementarity problem (LCP) which is then solved as a linear program (LP). Any…

Computational Complexity · Computer Science 2018-01-31 Giacomo Patrizi

This paper solves a long standing open problem of whether NP-complete problems could be solved in polynomial time on a deterministic Turing machine by showing that the indistinguishable binomial decision tree can be formed in a 3-SAT…

Computational Complexity · Computer Science 2018-01-31 Keum-Bae Cho

The question of whether all problems in NP class are also in P class is generally considered one of the most important open questions in mathematics and theoretical computer science as it has far-reaching consequences to other problems in…

Data Structures and Algorithms · Computer Science 2016-12-20 Wenhong Tian

The constraint satisfaction problems k-SAT and Quantum k-SAT (k-QSAT) are canonical NP-complete and QMA_1-complete problems (for k>=3), respectively, where QMA_1 is a quantum generalization of NP with one-sided error. Whereas k-SAT has been…

Quantum Physics · Physics 2021-04-01 Marco Aldi , Niel de Beaudrap , Sevag Gharibian , Seyran Saeedi

In a recent paper by S. Gubin [cs/0701023v1], a polynomial-time solution to the 3SAT problem was presented as proof that P=NP. The proposed algorithm cannot be made to work, which I shall demonstrate.

Computational Complexity · Computer Science 2007-05-23 Blake Hegerle

The problem of P vs. NP is very serious, and solutions to the problem can help save lives. This article is an attempt at solving the problem using a computer algorithm. It is presented in a fashion that will hopefully allow for easy…

Data Structures and Algorithms · Computer Science 2015-03-19 Matt Groff
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