FFTW is a C subroutine library for computing the discrete Fourier transform (DFT) in one or more dimensions, of arbitrary input size, and of both real and complex data (as well as of even/odd data, i.e. the discrete cosine/sine transforms or DCT/DST). We believe that FFTW, which is free software, should become the FFT library of choice for most applications. The latest official release of FFTW is version 3.3.3, available from our download page. Version 3.3 introduced support for the AVX x86 extensions, a distributed-memory implementation on top of MPI, and a Fortran 2003 API. Version 3.3.1 introduced support for the ARM Neon extensions.

References in zbMATH (referenced in 376 articles , 1 standard article )

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  1. Corsaro, Stefania; Kyriakou, Ioannis; Marazzina, Daniele; Marino, Zelda: A general framework for pricing Asian options under stochastic volatility on parallel architectures (2019)
  2. Lambers, James V.; Sumner, Amber C.: Explorations in numerical analysis (2019)
  3. Ammon, Martin; Baggioli, Matteo; Jiménez-Alba, Amadeo; Moeckel, Sebastian: A smeared quantum phase transition in disordered holography (2018)
  4. Arduino, Alessandro; Bottauscio, Oriano; Chiampi, Mario; Zilberti, Luca: Magnetic resonance-based imaging of human electric properties with phaseless contrast source inversion (2018)
  5. Beaudoin, Anthony; Huberson, Serge; de Dreuzy, Jean-Raynald: Adapting particle methods to model the dynamics of concentration gradients and chemical reactivity under advective diffusive transport conditions (2018)
  6. Biscarri, William; Zhao, Sihai Dave; Brunner, Robert J.: A simple and fast method for computing the Poisson binomial distribution function (2018)
  7. Bowman, John C.; Ghoggali, Zayd: The partial fast Fourier transform (2018)
  8. Cifani, P.; Kuerten, J. G. M.; Geurts, B. J.: Highly scalable DNS solver for turbulent bubble-laden channel flow (2018)
  9. Golyandina, Nina; Korobeynikov, Anton; Zhigljavsky, Anatoly: Singular spectrum analysis with R (2018)
  10. Guinness, Joseph; Hammerling, Dorit: Compression and conditional emulation of climate model output (2018)
  11. Hassanieh, Haitham: The sparse Fourier transform: theory and practice (2018)
  12. Joseph C. Ferguson, Francesco Panerai, Arnaud Borner, Nagi N. Mansour: PuMA: the Porous Microstructure Analysis software (2018)
  13. Kantzos, C. A.; Cunningham, R. W.; Tari, V.; Rollett, A. D.: Characterization of metal additive manufacturing surfaces using synchrotron X-ray CT and micromechanical modeling (2018)
  14. Leuschner, Matthias; Fritzen, Felix: Fourier-accelerated nodal solvers (FANS) for homogenization problems (2018)
  15. Neumüller, Martin; Thalhammer, Andreas: A fully parallelizable space-time multilevel Monte Carlo method for stochastic differential equations with additive noise (2018)
  16. Parmentier, Philippe; Winckelmans, Grégoire; Chatelain, Philippe: A vortex particle-mesh method for subsonic compressible flows (2018)
  17. Phelan, Carolyn E.; Marazzina, Daniele; Fusai, Gianluca; Germano, Guido: Fluctuation identities with continuous monitoring and their application to the pricing of barrier options (2018)
  18. Roberts, Malcolm; Bowman, John C.: Multithreaded implicitly dealiased convolutions (2018)
  19. Townsend, Alex; Webb, Marcus; Olver, Sheehan: Fast polynomial transforms based on Toeplitz and Hankel matrices (2018)
  20. Wilko Rohlfs, Manuel Rietz, Benoit Scheid: WaveMaker: The three-dimensional wave simulation tool for falling liquid films (2018)

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