Similarities between BPP (complexity) and P (complexity)
BPP (complexity) and P (complexity) have 12 things in common (in Unionpedia): Boolean circuit, Complement (complexity), Computational complexity theory, Decision problem, EXPTIME, Low (complexity), NP (complexity), P/poly, Polynomial hierarchy, Prime number, Time complexity, Turing machine.
Boolean circuit
In computational complexity theory and circuit complexity, a Boolean circuit is a mathematical model for digital logic circuits.
BPP (complexity) and Boolean circuit · Boolean circuit and P (complexity) ·
Complement (complexity)
In computational complexity theory, the complement of a decision problem is the decision problem resulting from reversing the yes and no answers.
BPP (complexity) and Complement (complexity) · Complement (complexity) and P (complexity) ·
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 P (complexity) ·
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 P (complexity) ·
EXPTIME
In computational complexity theory, the complexity class EXPTIME (sometimes called EXP or DEXPTIME) is the set of all decision problems that have exponential runtime, i.e., that are solvable by a deterministic Turing machine in O(2p(n)) time, where p(n) is a polynomial function of n. In terms of DTIME, We know and also, by the time hierarchy theorem and the space hierarchy theorem, that so at least one of the first three inclusions and at least one of the last three inclusions must be proper, but it is not known which ones are.
BPP (complexity) and EXPTIME · EXPTIME and P (complexity) ·
Low (complexity)
In computational complexity theory, a language B (or a complexity class B) is said to be low for a complexity class A (with some reasonable relativized version of A) if AB.
BPP (complexity) and Low (complexity) · Low (complexity) and P (complexity) ·
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 P (complexity) ·
P/poly
In computational complexity theory, P/poly is the complexity class of languages recognized by a polynomial-time Turing machine with a polynomial-bounded advice function.
BPP (complexity) and P/poly · P (complexity) and P/poly ·
Polynomial hierarchy
In computational complexity theory, the polynomial hierarchy (sometimes called the polynomial-time hierarchy) is a hierarchy of complexity classes that generalize the classes P, NP and co-NP to oracle machines.
BPP (complexity) and Polynomial hierarchy · P (complexity) and Polynomial hierarchy ·
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 · P (complexity) and Prime number ·
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 · P (complexity) 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 · P (complexity) and Turing machine ·
The list above answers the following questions
- What BPP (complexity) and P (complexity) have in common
- What are the similarities between BPP (complexity) and P (complexity)
BPP (complexity) and P (complexity) Comparison
BPP (complexity) has 52 relations, while P (complexity) has 58. As they have in common 12, the Jaccard index is 10.91% = 12 / (52 + 58).
References
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