Esempi di utilizzo di Time algorithm in Inglese e relative traduzioni in Italiano
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Some examples of polynomial time algorithms.
This is weaker than saying it is a polynomial time algorithm, since it may run for super-polynomial time, but with very low probability.
leading to an exponential time algorithm.
Super-fast response time algorithm, the motor.
Indeed, it is conjectured for many natural NP-complete problems that they do not have sub-exponential time algorithms.
Residual detection Patented real time algorithm for residual detection.
leading to an exponential time algorithm.
As a consequence, if we had a polynomial time algorithm for C, we could solve all co-NP problems in polynomial time. .
not to be decidable by a(non-approximate) sub-linear time algorithm.
Several researchers have studied the complexity of exponential time algorithms restricted to cubic graphs.
If a polynomial time algorithm calls as a subroutine polynomially many polynomial time algorithms,
3-SAT could not even have a quasi-polynomial time algorithm, so NP could not be a subset of QP.
Polynomial time algorithms are known for computing the chromatic polynomial
but no polynomial time algorithm is known.
The specific term sublinear time algorithm is usually reserved to algorithms that are
then 3-SAT would not have a polynomial time algorithm, and therefore it would follow that P≠ NP.
For example, an exponential time algorithm can sometimes still be fast enough to make a feasible attack. Conversely, a polynomial time algorithm(e.g., one that requires n 20 steps for n-digit keys)
theorem, a polynomial time algorithm was discovered by Chudnovsky, Cornuéjols, Liu, Seymour, and Vušković.
There is a O( V 2 E){\displaystyle O(V^{2}E)} time algorithm to find a maximum matching
the large probability that a random string is a witness gives an expected polynomial time algorithm for accepting or rejecting an input.
In this sense, problems that have sub-exponential time algorithms are somewhat more tractable than those that only
and is a polynomial time algorithm.
there can be no polynomial time algorithm that approximates the maximum clique to within a factor better than O(n1-
An example of such a sub-exponential time algorithm is the best-known classical algorithm for integer factorization,
For c 1{\displaystyle c=1} we get a polynomial time algorithm, for c< 1{\displaystyle c<1} we get a sub-linear time algorithm.
This means that for every co-NP problem L, there exists a polynomial time algorithm which can transform any instance of L into an instance
A consequence of this definition is that if we had a polynomial time algorithm(on a UTM, or any other Turing-equivalent abstract machine)
Any algorithm with these two properties can be converted to a polynomial time algorithm by replacing the arithmetic operations by suitable algorithms
there is a polynomial time algorithm for maximum cliques based on applying the algorithm
in the sense that if one of them has a subexponential time algorithm then they all do. k-SAT is the problem
