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<div class="headertitle"><div class="title">fast_fourier_transform.cpp File Reference</div></div>
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<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">namespace &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="../../d1/de0/namespacenumerical__methods.html">numerical_methods</a></td></tr>
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<tr class="memdesc:a158fd271b9a53e8f3f60b08b18857150"><td class="mdescLeft">&#160;</td><td class="mdescRight">FastFourierTransform is a recursive function which returns list of complex numbers. <br /></td></tr>
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<div class="textblock"><p><a href="https://medium.com/@aiswaryamathur/understanding-fast-fouriertransform-from-scratch-to-solve-polynomial-multiplication-8018d511162f" target="_blank">A fast Fourier transform (FFT)</a> is an algorithm that computes the discrete Fourier transform (DFT) of a sequence, or its inverse (IDFT). </p>
<p>This algorithm has application in use case scenario where a user wants to find points of a function in a short time by just using the coefficients 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). </p><dl class="section author"><dt>Author</dt><dd><a href="https://github.com/ameyachawlaggsipu" target="_blank">Ameya Chawla</a> </dd></dl>
<p class="definition">Definition in file <a class="el" href="../../d8/d9a/fast__fourier__transform_8cpp_source.html">fast_fourier_transform.cpp</a>.</p>
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