Questions tagged [big-o-notation]

Big O Notation is an informal name of the "O(x)" notation used to describe asymptotic behaviour of functions. It is a special case of Landau notation.

Filter by
Sorted by
Tagged with
0
votes
0answers
30 views

Big oh notation run time [duplicate]

I have this Question , I want the answer and show me how to solve it Please : Analyze the running time of the following algorithm using Big-Oh notation ...
0
votes
0answers
15 views

Growth rate and runtime [duplicate]

Sorry if this maybe a dumb question, just a little confused But with Big-Oh notation, does it measure the runtime or growth rate of an algo? or both?
0
votes
0answers
17 views

How can I compare by this two algorithms? [duplicate]

I have two algorithms has a complexity of O (n log n) and the B-complex algorithm (n^2). By imposing NA size the larger issue that a algorithm can solve in a given time and NB size the larger issue ...
1
vote
1answer
54 views

why is $O(n^2)$ equal to $n^{1.5}$?

I am learning this MIT course, which gives this formula $$O(n^2) = n^{1.5}$$ is there a table to calculate this? like $O(n^{1.5})$, $O(n^{5})$ ? what x takes would have O(x) give $c \cdot n$ where ...
1
vote
2answers
35 views

What does “bounded above” mean in Family of Bachmann–Landau notations?

Per wiki |f| is bounded above by g (up to constant factor) asymptotically with this concrete example, $$f(n) = \log n$$ $$g(n) = n^c = n^{0.000001}$$ Does "bounded above (up to constant factor)...
0
votes
0answers
35 views

how to compute $O(n^{0.000001})$ [duplicate]

this MIT course gives a formula about Big O $$n^{0.999999} \log n = O(n^{0.999999} \cdot n^{0.000001})$$ going through wiki, i cannot find a similar Big O properties or usages. how to compute $O(n^{...
2
votes
2answers
2k views

Are “of the order of n” and “Big O” the same thing?

I am learning from the MIT course Introduction to Algorithms. The professor says: Now, remember $\Theta(n)$ is essentially something that says "of the order of $n$". What does "of the order ...
9
votes
6answers
3k views

Are there variations of the regular runtimes of the Big-O-Notation?

There are multiple $O$-Notations, like $O(n)$ or $O(n^2)$ and so on. I was wondering, if there are variations of those in reality such as $O(2n^2)$ or $O(\log n^2)$, or if those are mathematically ...
1
vote
3answers
91 views

What should I call algorithms with non-linear non-constant time?

I am writing a paper in which I want to refer to a group of algorithms. Some of these algorithms are of complexity O(NlogN), and some of the are more complex (e.g ...
1
vote
1answer
28 views

Comparing different asymptotic notations

Suppose we have 3 algorithms complexity times at the worst case: A = $O(nlogn)$ B = $O(n\sqrt{n})$ C = $\Theta(n)$ In my opinion, it is not possible to define the best solution, since we don't know ...
7
votes
1answer
423 views

Asymptotics question

Is $\frac {n!} {2!\cdot 4!\cdot 8!\dots (n/2)!}=O(4^n)$? I am really stuck and I tend to believe it's true, but I don't know how to prove it. Any help would be appreciated!
2
votes
2answers
332 views

Traveling Salesman Problem: Big O Complexity of Algorithm

I'm trying to figure out how to do this problem in my intro algorithm class, but I'm a little confused. The Traveling Salesman problem (TSP) is famous. Given a list of cities and the distances ...
0
votes
3answers
79 views

How can i prove this asymptotic comparison? [duplicate]

This is an exercise that's part of my assignment, but it is optional and flagged as a "challenge". I would like to discuss its solution: Prove that: $$ 27\log{n} + \sqrt{n} = \theta(\sqrt{n})$$ ...
0
votes
2answers
410 views

How to find the big o running time if the recursion function have different cases of recursion with different fraction of n?

How to find the big o running time if the recursion function have different cases of recursion with different fraction of n? If I have a recursive function like this for example (This is just an ...
0
votes
0answers
34 views

Probability in 1-universal hash function

I am trying to prepare for an exam and I am not sure how to solve this task: Given is a hash function with m buckets, which uses a 1-universal hash function h: U -> H and handles collisions with ...