How to calculate the computational complexity
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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 件のコメント
VELAMMAL SORIMUTHU PILLAI
2020 年 2 月 18 日
編集済み: VELAMMAL SORIMUTHU PILLAI
2020 年 2 月 18 日
Hello
https://in.mathworks.com/matlabcentral/fileexchange/43707-computational-complexity
Refer This Link. It may help you!!
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Walter Roberson
2013 年 12 月 3 日
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 件のコメント
Walter Roberson
2013 年 12 月 4 日
See also any of the foundational books by Aho and Ullman, including http://infolab.stanford.edu/~ullman/focs/ch03.pdf
Sean
2014 年 3 月 25 日
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 件のコメント
Walter Roberson
2014 年 3 月 25 日
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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