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L-notation : ウィキペディア英語版
L-notation
''L''-notation is an asymptotic notation analogous to big-O notation, denoted as L_n() for a bound variable n tending to infinity. Like big-O notation, it is usually used to roughly convey the computational complexity of a particular algorithm.
It is defined as
:L_n()=e^} expresses the dominant term, and the e^ = (\ln n)^\,
is a polynomial function of ln ''n''; when \alpha is 1 then
:L_n() = L_n(c ) = e^ = n^\,
is a fully exponential function of ln ''n'' (and thereby polynomial in ''n'').
If \alpha is between 0 and 1, the function is subexponential of ln ''n'' (and superpolynomial).
==Examples==
Many general-purpose integer factorization algorithms have subexponential time complexities. The best is the general number field sieve, which has an expected running time of
:L_n(c ) = e^}
for c = (64/9)^ \approx 1.923. The best such algorithm prior to the number field sieve was the quadratic sieve which has running time
:L_n(1 ) = e^}.\,
For the elliptic curve discrete logarithm problem, the fastest general purpose algorithm is the baby-step giant-step algorithm, which has a running time on the order of the square-root of the group order ''n''. In ''L''-notation this would be
:L_n(1/2 ) = n^.\,
The existence of the AKS primality test, which runs in polynomial time, means that the time complexity for primality testing is known to be at most
:L_n(c ) = (\ln n)^\,
where ''c'' has been proven to be at most 6.〔Hendirk W. Lenstra Jr. and Carl Pomerance, "Primality testing with Gaussian periods", preprint, 2011, http://www.math.dartmouth.edu/~carlp/aks041411.pdf.〕

抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)
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