Exemplos de uso de Computational complexity em Inglês e suas traduções para o Português
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In logic and computational complexity==The transitive closure of a binary relation cannot,
one to meet the minimum computational complexity and another to obtain the optimum result according to the control parameters.
In computational complexity theory, it is usually implicitly assumed that any string in{0,
In computational complexity theory, the language TQBF is a formal language consisting of the true quantified Boolean formulas.
Goldwasser's research areas include computational complexity theory, cryptography and computational number theory.
In computational complexity theory, a transcomputational problem is a problem that requires processing of more than 1093 bits of information.
In computational complexity theory, the complexity class containing all recursively enumerable sets is RE.
In computational complexity theory, a PTAS reduction is an approximation-preserving reduction that is often used to perform reductions between solutions to optimization problems.
Besides the estimation problem, another important hindrance is the inherent computational complexity of grn inference methods.
In computational complexity theory, DTIME(or TIME)
Despite the fact that the bin packing problem has an NP-hard computational complexity, optimal solutions to very large instances of the problem can be produced with sophisticated algorithms.
The main advantages of this approach include multipath immunity and low computational complexity, due to the use of a family of fast algorithms, known as fast fourier transform fft.
In computational complexity theory, a problem refers to the abstract question to be solved.
In computational complexity theory, the time hierarchy theorems are important statements about time-bounded computation on Turing machines.
This concept is the computational complexity analogue to Shannon's concept of perfect secrecy.
The Immerman-Szelepcsényi theorem, another fundamental result in computational complexity theory, was proven independently by Neil Immerman and Róbert Szelepcsényi in 1987.
Generic-case complexity is a subfield of computational complexity theory that studies the complexity of computational problems on"most inputs.
One of these fields is the computational complexity theory, which can be very abstract.
In computational complexity theory, Karp's 21 NP-complete problems are a set of computational problems which are NP-complete.
This notion of pseudorandomness is studied in computational complexity theory and has applications to cryptography.