Examples of using Polynomial time in English and their translations into Serbian
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If we do limit it to polynomial time, we get the class RL, which is contained in
It contains all decision problems that can be solved by a deterministic Turing machine using a polynomial amount of computation time, or polynomial time.
An alternative characterization of PSPACE is a set of problems decidable by a turing machine in polynomial time, sometimes called, APTIME or AP.
the longest path can also be solved by a polynomial time dynamic programming algorithm.
The corresponding complexity class that also requires the machine to use only polynomial time is called ZPLP.
problems which can be solved by a deterministic Turing machine using a polynomial amount of computation time, or polynomial time.
can be solved by a deterministic machine in polynomial time.
there was a fierce debate between the computer scientists about whether NP-complete problems could be solved in polynomial time on a deterministic Turing machine.
such as“polynomial time”,“logarithmic space”,“constant depth”, and so on.
An alternative characterization of PSPACE is the set of problems decidable by an alternating Turing machine in polynomial time, sometimes called APTIME
such as"polynomial time","logarithmic space","constant depth", etc.
If cliques or independent sets of logarithmic size could be found in polynomial time, the exponential time hypothesis would be false.
can be solved by a deterministic machine in polynomial time.
In general, the maximum independent set problem cannot be approximated to a constant factor in polynomial time(unless P= NP).
No classical algorithm is known that can factor in polynomial time.
there was a fierce debate among the computer scientists about whether NP-complete problems could be solved in polynomial time on a deterministic Turing machine.
then it can be solved in polynomial time using dynamic programming.
Nobody has yet been able to determine conclusively whether NP-complete problems are in fact solvable in polynomial time, making this one of the great unsolved problems of mathematics.
it is shown that they can be solved in polynomial time by making use of the ellipsoid method.
Given an instance of the(non-metric) Steiner tree problem, we can transform it in polynomial time into an equivalent instance of the metric Steiner tree problem; the transformation preserves the approximation factor.