Faster access than browser!Similarities between BPP (complexity) and Randomized algorithm
BPP (complexity) and Randomized algorithm have 17 things in common (in Unionpedia): AKS primality test, Christos Papadimitriou, Computational complexity theory, Decision problem, Las Vegas algorithm, Monte Carlo algorithm, NP (complexity), Primality test, Prime number, Probabilistic Turing machine, Pseudorandom number generator, Quantum computing, Randomized algorithm, RP (complexity), Time complexity, Turing machine, ZPP (complexity).
AKS primality test
The AKS primality test (also known as Agrawal–Kayal–Saxena primality test and cyclotomic AKS test) is a deterministic primality-proving algorithm created and published by Manindra Agrawal, Neeraj Kayal, and Nitin Saxena, computer scientists at the Indian Institute of Technology Kanpur, on August 6, 2002, in a paper titled "PRIMES is in P".
AKS primality test and BPP (complexity) · AKS primality test and Randomized algorithm ·
Christos Papadimitriou
Christos Harilaos Papadimitriou (Greek: Χρήστος Χαρίλαος Παπαδημητρίου; born August 16, 1949) is a Greek theoretical computer scientist, and professor of Computer Science at Columbia University.
BPP (complexity) and Christos Papadimitriou · Christos Papadimitriou and Randomized algorithm ·
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.
BPP (complexity) and Computational complexity theory · Computational complexity theory and Randomized algorithm ·
Decision problem
In computability theory and computational complexity theory, a decision problem is a problem that can be posed as a yes-no question of the input values.
BPP (complexity) and Decision problem · Decision problem and Randomized algorithm ·
Las Vegas algorithm
In computing, a Las Vegas algorithm is a randomized algorithm that always gives correct results; that is, it always produces the correct result or it informs about the failure.
BPP (complexity) and Las Vegas algorithm · Las Vegas algorithm and Randomized algorithm ·
Monte Carlo algorithm
In computing, a Monte Carlo algorithm is a randomized algorithm whose output may be incorrect with a certain (typically small) probability.
BPP (complexity) and Monte Carlo algorithm · Monte Carlo algorithm and Randomized algorithm ·
NP (complexity)
In computational complexity theory, NP (for nondeterministic polynomial time) is a complexity class used to describe certain types of decision problems.
BPP (complexity) and NP (complexity) · NP (complexity) and Randomized algorithm ·
Primality test
A primality test is an algorithm for determining whether an input number is prime.
BPP (complexity) and Primality test · Primality test and Randomized algorithm ·
Prime number
A prime number (or a prime) is a natural number greater than 1 that cannot be formed by multiplying two smaller natural numbers.
BPP (complexity) and Prime number · Prime number and Randomized algorithm ·
Probabilistic Turing machine
In computability theory, a probabilistic Turing machine is a non-deterministic Turing machine which chooses between the available transitions at each point according to some probability distribution.
BPP (complexity) and Probabilistic Turing machine · Probabilistic Turing machine and Randomized algorithm ·
Pseudorandom number generator
A pseudorandom number generator (PRNG), also known as a deterministic random bit generator (DRBG), is an algorithm for generating a sequence of numbers whose properties approximate the properties of sequences of random numbers.
BPP (complexity) and Pseudorandom number generator · Pseudorandom number generator and Randomized algorithm ·
Quantum computing
Quantum computing is computing using quantum-mechanical phenomena, such as superposition and entanglement.
BPP (complexity) and Quantum computing · Quantum computing and Randomized algorithm ·
Randomized algorithm
A randomized algorithm is an algorithm that employs a degree of randomness as part of its logic.
BPP (complexity) and Randomized algorithm · Randomized algorithm and Randomized algorithm ·
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.
BPP (complexity) and RP (complexity) · RP (complexity) and Randomized algorithm ·
Time complexity
In computer science, the time complexity is the computational complexity that describes the amount of time it takes to run an algorithm.
BPP (complexity) and Time complexity · Randomized algorithm 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.
BPP (complexity) and Turing machine · Randomized algorithm and Turing machine ·
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.
BPP (complexity) and ZPP (complexity) · Randomized algorithm and ZPP (complexity) ·
The list above answers the following questions
- What BPP (complexity) and Randomized algorithm have in common
- What are the similarities between BPP (complexity) and Randomized algorithm
BPP (complexity) and Randomized algorithm Comparison
BPP (complexity) has 52 relations, while Randomized algorithm has 91. As they have in common 17, the Jaccard index is 11.89% = 17 / (52 + 91).
References
This article shows the relationship between BPP (complexity) and Randomized algorithm. To access each article from which the information was extracted, please visit:
