Similarities between P (complexity) and P/poly
P (complexity) and P/poly have 11 things in common (in Unionpedia): Advice (complexity), BPP (complexity), Complexity class, Computational complexity theory, EXPTIME, NP (complexity), Polynomial hierarchy, PSPACE, Sparse language, Turing machine, Undecidable problem.
Advice (complexity)
In computational complexity theory, an advice string is an extra input to a Turing machine that is allowed to depend on the length n of the input, but not on the input itself.
Advice (complexity) and P (complexity) · Advice (complexity) and P/poly ·
BPP (complexity)
In computational complexity theory, BPP, which stands for bounded-error probabilistic polynomial time is the class of decision problems solvable by a probabilistic Turing machine in polynomial time with an error probability bounded away from 1/2 for all instances.
BPP (complexity) and P (complexity) · BPP (complexity) and P/poly ·
Complexity class
In computational complexity theory, a complexity class is a set of problems of related resource-based complexity.
Complexity class and P (complexity) · Complexity class and P/poly ·
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.
Computational complexity theory and P (complexity) · Computational complexity theory and P/poly ·
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.
EXPTIME and P (complexity) · EXPTIME and P/poly ·
NP (complexity)
In computational complexity theory, NP (for nondeterministic polynomial time) is a complexity class used to describe certain types of decision problems.
NP (complexity) and P (complexity) · NP (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.
P (complexity) and Polynomial hierarchy · P/poly and Polynomial hierarchy ·
PSPACE
In computational complexity theory, PSPACE is the set of all decision problems that can be solved by a Turing machine using a polynomial amount of space.
P (complexity) and PSPACE · P/poly and PSPACE ·
Sparse language
In computational complexity theory, a sparse language is a formal language (a set of strings) such that the complexity function, counting the number of strings of length n in the language, is bounded by a polynomial function of n. They are used primarily in the study of the relationship of the complexity class NP with other classes.
P (complexity) and Sparse language · P/poly and Sparse language ·
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.
P (complexity) and Turing machine · P/poly and Turing machine ·
Undecidable problem
In computability theory and computational complexity theory, an undecidable problem is a decision problem for which it is known to be impossible to construct a single algorithm that always leads to a correct yes-or-no answer.
P (complexity) and Undecidable problem · P/poly and Undecidable problem ·
The list above answers the following questions
- What P (complexity) and P/poly have in common
- What are the similarities between P (complexity) and P/poly
P (complexity) and P/poly Comparison
P (complexity) has 58 relations, while P/poly has 33. As they have in common 11, the Jaccard index is 12.09% = 11 / (58 + 33).
References
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