Ejemplos de uso de Computational complexity en Inglés y sus traducciones al Español
{-}
-
Colloquial
-
Official
In computational complexity theory, the complexity class E is the set of decision problems that can be solved by a deterministic Turing machine in time 2O(n)
The computational complexity for this class of problems is usually estimated by:
techniques from algorithmics, computational complexity, automata theory,
to analyze the complexity of algorithms see computational complexity theory.
which may be exploited either for efficient data structures or for tighter computational complexity estimates.
with Juris Hartmanis, received the 1993 ACM Turing Award"in recognition of their seminal paper which established the foundations for the field of computational complexity theory.
more specifically computational complexity theory, Computers
In computational complexity theory, the polynomial hierarchy(sometimes called the polynomial-time hierarchy)
Algorithm analysis is an important part of a broader computational complexity theory, which provides theoretical estimates for the resources needed by any algorithm which solves a given computational problem.
In computability theory and computational complexity theory, an undecidable problem is a decision problem for which it is proved to be impossible to construct an algorithm that always leads to a correct yes-or-no answer.
his research interests include computational complexity theory, uses of randomness in computation,
In computer science, parameterized complexity is a branch of computational complexity theory that focuses on classifying computational problems according to their inherent difficulty with respect to multiple parameters of the input or output.
In computational complexity theory, bounded-error quantum polynomial time(BQP)
For the car, see Renault Espace In computational complexity theory, the complexity class ESPACE is the set of decision problems that can be solved by a deterministic Turing machine in space 2On.
In computational complexity theory, NL(Nondeterministic Logarithmic-space) is the complexity class containing decision problems which can be solved by a nondeterministic Turing machine using a logarithmic amount of memory space.
In computational complexity theory, the complexity class NTIME(f(n))
In computational complexity theory, a speedup theorem is a theorem that considers some algorithm solving a problem
dubbed natural proofs were unlikely to answer many of the important problems in computational complexity theory.
which was later shown to be optimally efficient in the sense of computational complexity theory.
algorithm theory and computational complexity theory.