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      Note for the P versus NP Problem (II)

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      research-article
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      ScienceOpen Preprints
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      Complexity classes, boolean formula, graph, completeness, polynomial time

            Abstract

            P versus NP is considered as one of the most fundamental open problems in computer science. This consists in knowing the answer of the following question: Is P equal to NP? It was essentially mentioned in 1955 from a letter written by John Nash to the United States National Security Agency. However, a precise statement of the P versus NP problem was introduced independently by Stephen Cook and Leonid Levin. Since that date, all efforts to find a proof for this problem have failed. Another major complexity class is NP-complete. It is well-known that P is equal to NP under the assumption of the existence of a polynomial time algorithm for some NP-complete. We show that the Monotone Weighted-2-satisfiability problem (MW2SAT) is NP-complete and P at the same time. Certainly, we make a polynomial time reduction from every undirected graph and positive integer k in the Vertex Cover problem to an instance of MW2SAT. In this way, we show that MW2SAT is also an NP-complete problem. Moreover, we create and implement a polynomial time algorithm which decides the instances of MW2SAT. Consequently, we prove that P = NP.

            Content

            Author and article information

            Journal
            ScienceOpen Preprints
            ScienceOpen
            31 May 2024
            Affiliations
            [1 ] GROUPS PLUS TOURS INC., 9611 Fontainebleau Blvd, Miami, FL, 33172, USA;
            Author notes
            Author information
            https://orcid.org/0000-0001-8210-4126
            Article
            10.14293/PR2199.000898.v1
            19e69ead-1cf0-486b-b3cc-828da2902bbb

            This work has been published open access under Creative Commons Attribution License CC BY 4.0 , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Conditions, terms of use and publishing policy can be found at www.scienceopen.com .

            History
            : 31 May 2024
            Categories

            Data sharing not applicable to this article as no datasets were generated or analysed during the current study.
            Theoretical computer science,Data structures & Algorithms
            polynomial time,Complexity classes,boolean formula,graph,completeness

            References

            1. Fortnow Lance. The status of the P versus NP problem. Communications of the ACM. Vol. 52(9):78–86. 2009. Association for Computing Machinery (ACM). [Cross Ref]

            2. Parameterized Complexity Theory. 2006. Springer Berlin Heidelberg. [Cross Ref]

            3. Galil Zvi. Efficient algorithms for finding maximum matching in graphs. ACM Computing Surveys. Vol. 18(1):23–38. 1986. Association for Computing Machinery (ACM). [Cross Ref]

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