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An implementation of the Fast Fourier Transform (FFT) algorithm to multiply two polynomials efficiently.

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FFT Multiplication

Author: Moin Khan

FFT Multiplication: An implementation of the Fast Fourier Transform (FFT) algorithm to multiply two polynomials efficiently.

Introduction

FFT Multiplication is a simple, zero-configuration command-line static HTTP server.

Installation:

Globally via pip

pip install fft_multiplication

This will install fft_multiplication globally so that it can be imported into any python program.

Usage:

from fft_multiplication import multiply

p = [1, 1]
q = [1, 0]

print(multiply(p, q))

Features

  • Efficient polynomial multiplication using the Fast Fourier Transform (FFT) algorithm
  • Comparison with the direct multiplication method
  • Test cases to ensure correctness of the implementations

Requirements

Python 3.x


Contributing

All contributions are welcome. Please create an issue first for any feature request or bug. Then fork the repository, create a branch and make any changes to fix the bug or add the feature and create a pull request. That's it! Thanks!


License

fft_multiplication is released under the MIT License. Check out the full license here.

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An implementation of the Fast Fourier Transform (FFT) algorithm to multiply two polynomials efficiently.

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