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fix : added time complexity in documentation

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Ameya Chawla 2021-10-21 00:46:37 +05:30 committed by GitHub
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numerical_methods/fast_fourier_transform.cpp
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@ -10,6 +10,8 @@
* in short period time by just using the coefficents of the polynomial
function.
* It can be also used to find inverse fourier transform by just switching the value of omega.
* @time complexity
* this algorithm computes the DFT in O(nlogn) time in comparison to traditional O(n^2).
* @details
* https://medium.com/@aiswaryamathur/understanding-fast-fourier-transform-from-scratch-to
-solve-polynomial-multiplication-8018d511162f