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  1. NP (complexity) - Wikipedia

    • In computational complexity theory, NP (nondeterministic polynomial time) is a complexity class used to classify decision problems. NP is the set of decision problems for which the problem instances, where the answer is "yes", have proofs verifiable in polynomial time by a deterministic Turing machine, or alternatively the set of problems that can be solv… See more

    Formal definition

    The complexity class NP can be defined in terms of NTIME as follows:
    where is the set of decision problems that … See more

    Background

    Many computer science problems are contained in NP, like decision versions of many search and optimization problems.
    In order to explain the verifier-based definition of NP, consider the subset sum problem: … See more

    Properties

    NP is closed under union, intersection, concatenation, Kleene star and reversal. It is not known whether NP is closed under complement (this question is the so-called "NP versus co-NP" question). See more

    Why some NP problems are hard to solve

    Because of the many important problems in this class, there have been extensive efforts to find polynomial-time algorithms for problems in NP. However, there remain a large number of problems in NP that defy such attem… See more

    Equivalence of definitions

    The two definitions of NP as the class of problems solvable by a nondeterministic Turing machine (TM) in polynomial time and the class of problems verifiable by a deterministic Turing machine in polynomial time are eq… See more

    Relationship to other classes

    NP contains all problems in P, since one can verify any instance of the problem by simply ignoring the proof and solving it. NP is contained in PSPACE—to show this, it suffices to construct a PSPACE machine that loops o… See more

    Other characterizations

    In terms of descriptive complexity theory, NP corresponds precisely to the set of languages definable by existential second-order logic (Fagin's theorem).
    NP can be seen as a very simple type of interactive … See more

     
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    In computational complexity theory, NP (nondeterministic polynomial time) is a complexity class used to classify decision problems. These are problems for which the instances where the answer is "yes" have proofs verifiable in polynomial time by a deterministic Turing machine2. Alternatively, NP can be defined as the set of problems that can be solved in polynomial time by a nondeterministic Turing machine2.

    Key Characteristics of NP

    • Verification in Polynomial Time: NP problems are those where a given solution can be verified in polynomial time by a deterministic Turing machine2.

    • Nondeterministic Polynomial Time: These problems can be solved in polynomial time by a nondeterministic Turing machine, which can guess a solution and then verify it in polynomial time2.

    Examples of NP Problems

    Some common examples of NP problems include:

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  2. P, NP, CoNP, NP hard and NP complete | Complexity …

    Oct 3, 2023 · The space complexity of an algorithm describes how much memory is required for the algorithm to operate. Complexity classes are useful in organising similar types of problems. Types of Complexity Classes. This …

     
  3. Introduction to NP-Complete Complexity Classes

    May 15, 2024 · NP problems are a class of computational problems that can be solved in polynomial time by a non-deterministic machine and can be verified in polynomial time by a deterministic Machine. A problem L in NP is NP …

  4. NP-completeness - Wikipedia

    In computational complexity theory, a problem is NP-complete when: It is a decision problem, meaning that for any input to the problem, the output is either "yes" or "no". When the answer is "yes", this can be demonstrated through the …

  5. NP-What? Complexity Types of Optimization …

    Aug 16, 2023 · Shifting to NP-hardness, we navigate the landscape of problems with varying degrees of complexity. P versus NP problems stand out — solvable in polynomial time for P, while NP problems offer quick verification but often …

  6. Explained: P vs. NP | MIT News | Massachusetts …

    Oct 29, 2009 · NP (which stands for nondeterministic polynomial time) is the set of problems whose solutions can be verified in polynomial time. But as far as anyone can tell, many of those problems take exponential time to solve. …

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