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fix : added time complexity in documentation
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@@ -10,6 +10,8 @@
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* in short period time by just using the coefficents of the polynomial
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function.
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* It can be also used to find inverse fourier transform by just switching the value of omega.
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* @time complexity
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* this algorithm computes the DFT in O(nlogn) time in comparison to traditional O(n^2).
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* @details
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* https://medium.com/@aiswaryamathur/understanding-fast-fourier-transform-from-scratch-to
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-solve-polynomial-multiplication-8018d511162f
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