Examples of using Complexity class in English and their translations into Portuguese
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In computational complexity theory, the complexity class containing all recursively enumerable sets is RE.
Any given abstract machine will have a complexity class corresponding to the problems which can be solved in polynomial time on that machine.
is the complexity class containing decision problems which can be solved by comparator circuits of polynomial size.
is a complexity class that models the difficulty of finding a locally optimal solution to an optimization problem.
PR is the complexity class of all primitive recursive functions-or,
A branch of computational complexity, FO is a complexity class of structures that can be recognized by formulas of first-order logic, and also equals the complexity class AC0.
The complexity class QP consists of all problems that have quasi-polynomial time algorithms.
In computational complexity theory, a complexity class is a set of problems of related resource-based complexity. .
In computational complexity theory, the complexity class NP-equivalent is the set of function problems that are both NP-easy and NP-hard.
The♯P-complete problems(pronounced"sharp P complete" or"number P complete") form a complexity class in computational complexity theory.
Formally, the complexity class MA is the set of decision problems that can be decided in polynomial time by an Arthur-Merlin protocol where Merlin's only move precedes any computation by Arthur.
Extensions of SO with some operators also give us the same expressivity given by some well known complexity class, so it is a way to do proofs about the complexity of some problems without having to go to the algorithmic level.
especially for the purpose of proving completeness of a problem within a complexity class.
is the complexity class of problems for which a probabilistic Turing machine exists with these properties:* It always returns the correct YES or NO answer.
is a complexity class containing a limited subset of NP based on its logical characterization in terms of graph-theoretical properties.
is the complexity class containing decision problems which can be solved by a nondeterministic Turing machine using a logarithmic amount of memory space.
is the complexity class containing decision problems that can be solved by a deterministic Turing machine using a logarithmic amount of memory space.
as used in the verifier-based definition of the complexity class NP, also satisfies these requirements,
for every deterministic time-bounded complexity class, there is a strictly larger time-bounded complexity class,
The exponential time hypothesis implies that many other problems in the complexity class SNP do not have algorithms whose running time is faster than cn for some constant c.