Примеры использования Time complexity на Английском языке и их переводы на Русский язык
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This algorithm has a time complexity of Θmn.
The time complexity of the algorithm is OV 2E.
When"complexity" is used without being qualified,this generally means time complexity.
The forward-backward algorithm has time complexity O( N 2 T){\displaystyle O(N^{2}T)\.
We also propose graph exploration andmarking algorithm with time complexity On.
Theoretically, the worst case space and time complexity of n concurrent transactions is On.
An algorithm is said to take linear time, or O(n) time, if its time complexity is On.
This reduces the algorithm's time complexity to O(n), compared to O(n2) for the naïve implementation.
In addition to performance bounds,computational learning theory studies the time complexity and feasibility of learning.
As per the performance of execution, the time complexity is later improved to O(n log k) with box decomposition technique.
For different variants of the problem(e.g. different types of obstacles),algorithms vary in time complexity.
For practical considerations, however, the time complexity is mostly governed by the number of regionQuery invocations.
For certain classes of problems, algorithms running on quantum computers are naturally capable of achieving lower time complexity than on classical computers.
It has an exponential time complexity with regard to input size, though, which makes it a pseudo-polynomial algorithm.
Recognition using the GLR algorithm has the same worst-case time complexity as the CYK algorithm and Earley algorithm: On3.
A QPTAS has time complexity n polylog( n){\displaystyle n^{\operatorname{polylog}(n)}} for each fixed ε> 0{\displaystyle\varepsilon>0.
In 2005, Paul Crowley reported an attack on Salsa20/5 with an estimated time complexity of 2165, and won Bernstein's US$1000 prize for"most interesting Salsa20 cryptanalysis.
In determining the time complexity of algorithms for the decision problem for the existential theory of the reals, it is important to have a measure of the size of the input.
In particular, for the case of points within rectangle an optimal algorithm of time complexity Θ( n log n){\displaystyle\Theta(n\log n)} is known.
There are two kinds of time complexity results: Positive results- Showing that a certain class of functions is learnable in polynomial time. .
For dense graphs, it is more efficient to use this simple algorithm which relies on matrix multiplication,since it gets the time complexity down to O(n2.373), where n is the number of vertices.
Analyze the algorithm, typically using time complexity analysis to get an estimate of the running time as a function of the size of the input data.
Without the use of an accelerating index structure, or on degenerated data(e.g. all points withina distance less than ε), the worst case run time complexity remains On².
This approach has time complexity O( T⋅ N T){\displaystyle O(T\cdot N^{T})}, where T{\displaystyle T} is the length of sequences and N{\displaystyle N} is the number of symbols in the state alphabet.
The attack requires 254.6 chosen plaintexts, each of which has been encrypted under one of four related keys,and has a time complexity equivalent to 276.1 KASUMI encryptions.
Time complexity is commonly estimated by counting the number of elementary operations performed by the algorithm, supposing that each elementary operation takes a fixed amount of time to perform.
Annotation: In the paper the authors consider application of the frequency method to calculate the exact probability distributions of symmetrical additively partitioned statistics, andanalyze its computational and time complexity.
Naamad, Lee andHsu presented an algorithm of time complexity O( min( n 2, s log n)){\displaystyle O(\ min( n^{ 2}, s\log n))}, where s is the number of feasible solutions, i.e., maximal empty rectangles.
Actual needs depend on implementation details(one can make transactions fail early enough to avoid overhead), but there will also be cases, albeit rare,where lock-based algorithms have better time complexity than software transactional memory.
Pollard gives the time complexity of the algorithm as O( b- a){\displaystyle{\scriptstyle O({\sqrt{b-a}})}}, based on a probabilistic argument which follows from the assumption that f acts pseudorandomly.