algorithm - What does O (log n) mean exactly? - Stack Overflow
2010年2月22日 · You can think of O(1), O(n), O(logn), etc as classes or categories of growth. Some categories will take more time to do than others. These categories help give us a way of …
algorithm - Is log (n!) = Θ (n·log (n))? - Stack Overflow
@Z3d4s the what steps 7-8 conversion is saying that nlogn == log(n^n) and for showing the bound here you can say the first term is always greater than the second term you can check …
asymptotics - Why is $\log (n!)$ $O (n\log n)$? - Mathematics …
I thought that $\log(n!)$ would be $\Omega(n \log n )$, but I read somewhere that $\log(n!) = O(n\log n)$
notation - What is the difference between $\log^2 (n)$, $\log …
2016年1月8日 · Now, you asked about their meaning in the context of asymptotic behaviour and, specifically, Big-O notation. Below follows a note regarding seeing research articles state that …
Difference between O (logn) and O (nlogn) - Stack Overflow
2019年4月27日 · You still need to study a lot. O(..) describes the complexity of your algorithm. To be easy, you can imagine as the time to take to finish you algorithm for an n input, if O(n) it will …
discrete mathematics - (logn)^(logn) = n^(log10+logn). WHY ...
2018年1月15日 · This question is missing context or other details: Please improve the question by providing additional context, which ideally includes your thoughts on the problem and any …
What would cause an algorithm to have O(log log n) complexity?
2017年5月23日 · Compute SSSP for each part: again because we have O(|G'|) part and we can compute SSSP for all parts in time |n/logn| * |log n/log logn * log (logn /log log n). update …
algorithms - How is $O (\log (\log (n)))$ also $O ( \log n ...
2015年5月30日 · Stack Exchange Network. Stack Exchange network consists of 183 Q&A communities including Stack Overflow, the largest, most trusted online community for …
algorithm - Difference between O (n) and O (log (n)) - which is …
2012年4月29日 · O(logn) means that the algorithm's maximum running time is proportional to the logarithm of the input size. O(n) means that the algorithm's maximum running time is …
Examples of Algorithms which has O (1), O (n log n) and O (log n ...
2009年10月20日 · O(logn) - finding something in your telephone book. Think binary search. O(n) - reading a book, where n is the number of pages. It is the minimum amount of time it takes to …