Examples of using Computational complexity in English and their translations into Ukrainian
{-}
-
Colloquial
-
Ecclesiastic
-
Computer
marks the beginning of computational complexity theory.
the foundations of cryptography, and computational complexity theory.
These can reduce the computational complexity to O(N log N) or better, at the loss of accuracy.
When designing such systems, developers have to solve the contradiction between the computational complexity of processing algorithms,
which allows AI to handle much more computational complexity than we can.
The main issue of any sorting algorithm is its computational complexity- the number of comparison-exchange operations,
proved that there exist practically relevant problems that are NP-complete- a landmark result in computational complexity theory[citation needed].
a hypothesis is a list of n training items and the computational complexity of classifying a single new instance is O(n).
combinatorics, computational complexity theory and condensed matter physics.
Decision trees models are instrumental in establishing lower bounds for computational complexity for certain classes of computational problems
is therefore a classical NP-complete problem in computational complexity theory.
If a widely held assumption about computational complexity is correct, then the problem of measuring the
The relation between the complexity classes P and NP is studied in computational complexity theory, the part of the theory of computation dealing with the resources required during computation to solve a given problem.
proved that there exist practically relevant problems that are NP-complete- a landmark result in computational complexity theory.
a special case of complex systems Computational complexity theory, a field in theoretical computer science and mathematics.
such evaluations increase the computational complexity(or computational cost) of each iteration.
The computational complexity of resolution complete planners is dependent on the number of points in the underlying grid,
other areas in cryptography[7][8] and computational complexity.[9][10][11].
purple fringing Maximum preservation of the image resolution Low computational complexity for fast processing
It belongs to the class NP of computational complexity.