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Big O notation and NP (complexity)

Shortcuts: Differences, Similarities, Jaccard Similarity Coefficient, References.

Difference between Big O notation and NP (complexity)

Big O notation vs. NP (complexity)

Big O notation is a mathematical notation that describes the limiting behaviour of a function when the argument tends towards a particular value or infinity. In computational complexity theory, NP (for nondeterministic polynomial time) is a complexity class used to describe certain types of decision problems.

Similarities between Big O notation and NP (complexity)

Big O notation and NP (complexity) have 13 things in common (in Unionpedia): Algorithm, Big O notation, Binary search algorithm, Charles E. Leiserson, Clifford Stein, Computational complexity theory, Computer science, Integer factorization, Introduction to Algorithms, Ron Rivest, Thomas H. Cormen, Time complexity, Travelling salesman problem.

Algorithm

In mathematics and computer science, an algorithm is an unambiguous specification of how to solve a class of problems.

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Big O notation

Big O notation is a mathematical notation that describes the limiting behaviour of a function when the argument tends towards a particular value or infinity.

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Binary search algorithm

In computer science, binary search, also known as half-interval search,logarithmic search, or binary chop, is a search algorithm that finds the position of a target value within a sorted array.

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Charles E. Leiserson

Charles Eric Leiserson is a computer scientist, specializing in the theory of parallel computing and distributed computing, and particularly practical applications thereof.

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Clifford Stein

Clifford Seth Stein (born December 14, 1965), a computer scientist, is a professor of industrial engineering and operations research at Columbia University in New York, NY, where he also holds an appointment in the Department of Computer Science.

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Computational complexity theory

Computational complexity theory is a branch of the theory of computation in theoretical computer science that focuses on classifying computational problems according to their inherent difficulty, and relating those classes to each other.

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Computer science

Computer science deals with the theoretical foundations of information and computation, together with practical techniques for the implementation and application of these foundations.

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Integer factorization

In number theory, integer factorization is the decomposition of a composite number into a product of smaller integers.

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Introduction to Algorithms

Introduction to Algorithms is a book by Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest, and Clifford Stein.

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Ron Rivest

Ronald Linn Rivest (born May 6, 1947) is a cryptographer and an Institute Professor at MIT.

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Thomas H. Cormen

Thomas H. Cormen is the co-author of Introduction to Algorithms, along with Charles Leiserson, Ron Rivest, and Cliff Stein.

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Time complexity

In computer science, the time complexity is the computational complexity that describes the amount of time it takes to run an algorithm.

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Travelling salesman problem

The travelling salesman problem (TSP) asks the following question: "Given a list of cities and the distances between each pair of cities, what is the shortest possible route that visits each city and returns to the origin city?" It is an NP-hard problem in combinatorial optimization, important in operations research and theoretical computer science.

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The list above answers the following questions

Big O notation and NP (complexity) Comparison

Big O notation has 97 relations, while NP (complexity) has 59. As they have in common 13, the Jaccard index is 8.33% = 13 / (97 + 59).

References

This article shows the relationship between Big O notation and NP (complexity). To access each article from which the information was extracted, please visit:

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