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  2. Bruun's FFT algorithm - Wikipedia

    en.wikipedia.org/wiki/Bruun's_FFT_algorithm

    At the end of the recursion, for s = n-1, there remain 2 n-1 linear polynomials encoding two Fourier coefficients X 0 and X 2 n-1 for the first and for the any other k th polynomial the coefficients X k and X 2 n-k. At each recursive stage, all of the polynomials of the common degree 4M-1 are reduced to two parts of half the degree 2M-1.

  3. Fast-and-frugal trees - Wikipedia

    en.wikipedia.org/wiki/Fast-and-frugal_trees

    A fast-and-frugal tree is a classification or a decision tree that has m+1 exits, with one exit for each of the first m −1 cues and two exits for the last cue. Mathematically, fast-and-frugal trees can be viewed as lexicographic heuristics or as linear classification models with non-compensatory weights and a threshold.

  4. Terraria - Wikipedia

    en.wikipedia.org/wiki/Terraria

    Terraria is a 2D sandbox game with gameplay that revolves around exploration, building, crafting, combat, survival, and mining, playable in both single-player and multiplayer modes. [ 3 ] [ 4 ] The game has a 2D sprite tile-based graphical style reminiscent of the 16-bit sprites found on the Super NES . [ 4 ]

  5. Cooley–Tukey FFT algorithm - Wikipedia

    en.wikipedia.org/wiki/Cooley–Tukey_FFT_algorithm

    The Cooley–Tukey algorithm, named after J. W. Cooley and John Tukey, is the most common fast Fourier transform (FFT) algorithm. It re-expresses the discrete Fourier transform (DFT) of an arbitrary composite size = in terms of N 1 smaller DFTs of sizes N 2, recursively, to reduce the computation time to O(N log N) for highly composite N (smooth numbers).

  6. Schönhage–Strassen algorithm - Wikipedia

    en.wikipedia.org/wiki/Schönhage–Strassen...

    The Schönhage–Strassen algorithm is based on the fast Fourier transform (FFT) method of integer multiplication. This figure demonstrates multiplying 1234 × 5678 = 7006652 using the simple FFT method. Base 10 is used in place of base 2 w for illustrative purposes.

  7. Category:FFT algorithms - Wikipedia

    en.wikipedia.org/wiki/Category:FFT_algorithms

    This category is for fast Fourier transform (FFT) algorithms, i.e. algorithms to compute the discrete Fourier transform (DFT) in O(N log N) time (or better, for approximate algorithms), where is the number of discrete points.

  8. Vector-radix FFT algorithm - Wikipedia

    en.wikipedia.org/wiki/Vector-radix_FFT_algorithm

    As with the Cooley–Tukey FFT algorithm, the two dimensional vector-radix FFT is derived by decomposing the regular 2-D DFT into sums of smaller DFT's multiplied by "twiddle" factors. A decimation-in-time ( DIT ) algorithm means the decomposition is based on time domain x {\displaystyle x} , see more in Cooley–Tukey FFT algorithm .

  9. Prime-factor FFT algorithm - Wikipedia

    en.wikipedia.org/wiki/Prime-factor_FFT_algorithm

    The prime-factor algorithm (PFA), also called the Good–Thomas algorithm (1958/1963), is a fast Fourier transform (FFT) algorithm that re-expresses the discrete Fourier transform (DFT) of a size N = N 1 N 2 as a two-dimensional N 1 ×N 2 DFT, but only for the case where N 1 and N 2 are relatively prime.

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