Classifier Instance:

Anchor text: Schönhage–Strassen algorithm
Target Entity: Sch\u00f6nhage\u2013Strassen_algorithm
Preceding Context: The most common fast convolution algorithms use fast Fourier transform (FFT) algorithms via the circular convolution theorem. Specifically, the circular convolution of two finite-length sequences is found by taking an FFT of each sequence, multiplying pointwise, and then performing an inverse FFT. Convolutions of the type defined above are then efficiently implemented using that technique in conjunction with zero-extension and/or discarding portions of the output. Other fast convolution algorithms, such as the
Succeeding Context: , use fast Fourier transforms in other rings.
Paragraph Title: Fast convolution algorithms
Source Page: Convolution

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