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    Review of 'Note for the P versus NP Problem'

    5
    Note for the P versus NP ProblemCrossref
    Average rating:
        Rated 5 of 5.
    Level of importance:
        Rated 5 of 5.
    Level of validity:
        Rated 5 of 5.
    Level of completeness:
        Rated 5 of 5.
    Level of comprehensibility:
        Rated 4 of 5.
    Competing interests:
    None

    Reviewed article

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    Is Open Access

    Note for the P versus NP Problem

    Frank Vega (2024)
    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 Xor 2-satisfiability problem (MWX2SAT) is NP-complete and P at the same time. Certainly, we make a polynomial time reduction from every directed graph and positive integer k in the K-CLOSURE problem to an instance of MWX2SAT. In this way, we show that MWX2SAT is also an NP-complete problem. Moreover, we create and implement a polynomial time algorithm which decides the instances of MWX2SAT. Consequently, we prove that P = NP.

      Review information

      10.14293/S2199-1006.1.SOR-COMPSCI.ABDGFV.v1.RXJJTH
      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.

      Data structures & Algorithms,Theoretical computer science
      completeness,graph,polynomial time,Complexity classes,boolean formula

      Review text

      The article starts with a succinct introduction to the concepts of P, NP and NP-completeness basic to computational complexity theory. These necessary definitions, and those appearing later on in the text, are terse, to-the-point and elegantly intuitive and can be understood by anyone regardless of their level of expertise. The examples are equally informative, although the explanation of the logical proposition underlying the definition of K-closure in page 2 could perhaps benefit from a clearer wording, e.g. removing the "necessarily" from its last sentence to make it clear that this is the XOR connective. The example given for a 2CNF could also benefit from a replacement of one of the literals in its first clause, because said clause is a tautology. Definition 2, introducting the MWX2SAT problem for n-variable 2CNF formulae, makes use of the XOR operator but this is not defined in the text. None of these minor issues, however, hamper the exposition.

      The paradigmatic and nuclear role NP-complete problems occupy within the NP complexity class is crucial to what comes next. Firstly, Lemma 1 establishes that a k-closure problem can be both translated into an equivalent MW2SAT problem, and characterized as NP-complete in its own right. Theorem 1 then proves that MW2SAT also belongs to the P class; this is done by equating this problem to another well known graph-related P problem (this time for undirected graphs), namely that of finding vertex sets of size at most k that are both vertex covers and independent sets.

      The strategy behind the choice of analogous problems, both in Lemma 1 and in Theorem 1, is both inventive and ambitious, particularly given their simplicity, and its implications are potentially groundbreaking.

      I therefore extend my recommendation for publication.

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