Faster access than browser!Similarities between Algorithm and Complexity class
Algorithm and Complexity class have 12 things in common (in Unionpedia): Abstract machine, Algorithm, Big O notation, Computability theory, Computational complexity theory, Optimization problem, P (complexity), RP (complexity), Time complexity, Turing machine, Turing reduction, ZPP (complexity).
Abstract machine
An abstract machine, also called an abstract computer, is a theoretical model of a computer hardware or software system used in automata theory.
Abstract machine and Algorithm · Abstract machine and Complexity class ·
Algorithm
In mathematics and computer science, an algorithm is an unambiguous specification of how to solve a class of problems.
Algorithm and Algorithm · Algorithm and Complexity class ·
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.
Algorithm and Big O notation · Big O notation and Complexity class ·
Computability theory
Computability theory, also known as recursion theory, is a branch of mathematical logic, of computer science, and of the theory of computation that originated in the 1930s with the study of computable functions and Turing degrees.
Algorithm and Computability theory · Complexity class and Computability theory ·
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.
Algorithm and Computational complexity theory · Complexity class and Computational complexity theory ·
Optimization problem
In mathematics and computer science, an optimization problem is the problem of finding the best solution from all feasible solutions.
Algorithm and Optimization problem · Complexity class and Optimization problem ·
P (complexity)
In computational complexity theory, P, also known as PTIME or DTIME(nO(1)), is a fundamental complexity class.
Algorithm and P (complexity) · Complexity class and P (complexity) ·
RP (complexity)
In computational complexity theory, randomized polynomial time (RP) is the complexity class of problems for which a probabilistic Turing machine exists with these properties.
Algorithm and RP (complexity) · Complexity class and RP (complexity) ·
Time complexity
In computer science, the time complexity is the computational complexity that describes the amount of time it takes to run an algorithm.
Algorithm and Time complexity · Complexity class and Time complexity ·
Turing machine
A Turing machine is a mathematical model of computation that defines an abstract machine, which manipulates symbols on a strip of tape according to a table of rules.
Algorithm and Turing machine · Complexity class and Turing machine ·
Turing reduction
In computability theory, a Turing reduction from a problem A to a problem B, is a reduction which solves A, assuming the solution to B is already known (Rogers 1967, Soare 1987).
Algorithm and Turing reduction · Complexity class and Turing reduction ·
ZPP (complexity)
In complexity theory, ZPP (zero-error probabilistic polynomial time) is the complexity class of problems for which a probabilistic Turing machine exists with these properties.
Algorithm and ZPP (complexity) · Complexity class and ZPP (complexity) ·
The list above answers the following questions
- What Algorithm and Complexity class have in common
- What are the similarities between Algorithm and Complexity class
Algorithm and Complexity class Comparison
Algorithm has 288 relations, while Complexity class has 77. As they have in common 12, the Jaccard index is 3.29% = 12 / (288 + 77).
References
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