How to calculate the computational complexity

hi,
I am segmenting images using region growing, Otsu methods, Fuzzy c mean methods, I wondering that how can i calculate the computational complexity of these methods? and how I can categorize in terms of performance using computational complexity? I have seen many links talking about complexity like O(n), O(n^2) Whats the difference and How I can know the complexity for my above listed methods.
Please Suggest !

1 Commento

Hello
https://in.mathworks.com/matlabcentral/fileexchange/43707-computational-complexity
Refer This Link. It may help you!!

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 Risposta accettata

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....//code
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3 Commenti

This has almost nothing to do with computational complexity.
It can only help you get the time consumption for running the code.

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Più risposte (2)

There is no mechanical way to calculate computational complexity.
You should refer to papers for the complexity analysis. See for example http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.219.4060&rep=rep1&type=pdf

2 Commenti

This paper also dont give any idea how to find the complexity its just telling that this is complexity of approach he is using. if Its a topic of interest why there is no ... consideration of it on internet .. I am searching but can not find any concrete material or example.
See also any of the foundational books by Aho and Ullman, including http://infolab.stanford.edu/~ullman/focs/ch03.pdf

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Sean
Sean il 25 Mar 2014
I too am interested in calculating the computational complexity of a sequence of code executed in Matlab as I wish to do protyping in Matlab and then transfer it to embedded.
Ideally, the number of floating point operations or mathematical operations would be helpful.
Does Matlab have a feature such as this?
S

1 Commento

No, it is not possible to calculate in general.
There are some quite simple code sequences that no-one has been able to find the computational complexity of despite many many people trying. See for example the Colatz Conjecture.

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