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<math> \hat{f}(a * b) = \hat{f}(\sum_{i=0}^k {a_ib_{k-i}}) = \hat{f}(a)</math> ● <math> \hat{f}(b) </math>. That is; <math> C_k = a_k </math> ● <math> b_k </math>, where <math> C_k </math>
is the corresponding coeffesient in fourier space. This can also be written as: fft(a * b) = fft(a) ● fft(b).
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Algorithm uses divide and conquer strategy, to divide problem to subproblems.
What is important, is to make subproblems of equal
It has a time complexity of O(''n'' log(''n'') log(log(''n''))).
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