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NP (complexity)

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…

Characters, Relationship to other classes & Other characterizations

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Explore the main themes, entities and connections around NP (complexity). Start with the topic map, then use the sections below for research and deeper semantic analysis.

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Overview

Formal definition

Background

Properties

Why some NP problems are hard to solve

Equivalence of definitions

Relationship to other classes

Other characterizations

Examples

Advanced semantic analysis

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Map overview Semantic statistics

NP (complexity)

Nodes64
Edges63
Triples0
Avg. degree1.97
Density0.03125
Components1

How this topic connects Entity context

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Important terminology Word statistics

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Important terminology

np problems time polynomial problem machine turing decision nondeterministic verifier class whether proof co-np deterministic algorithm complexity np-complete set subset

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc

Related concept clusters Concept neighborhoods

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    Connections between topic areas Semantic bridges

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