Julia: A fast dynamic language for technical computing. Dynamic languages have become popular for scientific computing. They are generally considered highly productive, but lacking in performance. This paper presents Julia, a new dynamic language for technical computing, designed for performance from the beginning by adapting and extending modern programming language techniques. A design based on generic functions and a rich type system simultaneously enables an expressive programming model and successful type inference, leading to good performance for a wide range of programs. This makes it possible for much of the Julia library to be written in Julia itself, while also incorporating best-of-breed C and Fortran libraries.

References in zbMATH (referenced in 259 articles , 1 standard article )

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  1. Anton Plietzsch, Raphael Kogler, Sabine Auer, Julia Merino, Asier Gil-de-Muro, Jan Liße, Christina Vogel, Frank Hellmann: PowerDynamics.jl - An experimentally validated open-source package for the dynamical analysis of power grids (2021) arXiv
  2. Ding Ma, Dominique Orban, Michael A. Saunders: A Julia implementation of Algorithm NCL for constrained optimization (2021) arXiv
  3. Huo, Zenan; Mei, Gang; Xu, Nengxiong: JuSFEM: a Julia-based open-source package of parallel smoothed finite element method (S-FEM) for elastic problems (2021)
  4. Mehmet Hakan Satman; Shreesh Adiga; Guillermo Angeris; Emre Akadal: LinRegOutliers: A Julia package for detecting outliers in linear regression (2021) not zbMATH
  5. Xu, Nengxiong; Mei, Gang; Qin, Jiayu; Li, Yazhe; Xu, Liangliang: GeoMFree (^\operatorname3D): a package of meshfree local radial point interpolation method (RPIM) for geomechanics (2021)
  6. af Klinteberg, Ludvig; Askham, Travis; Kropinski, Mary Catherine: A fast integral equation method for the two-dimensional Navier-Stokes equations (2020)
  7. Ali Ramadhan; Gregory L. Wagner; Chris Hill; Jean-Michel Campin; Valentin Churavy; Tim Besard; Andre Souza; Alan Edelman; Raffaele Ferrari; John Marshall: Oceananigans.jl: Fast and friendly geophysical uid dynamics on GPUs (2020) not zbMATH
  8. Andy Nowacki: SeisModels.jl: A Julia package for models of the Earth’s interior (2020) not zbMATH
  9. Anthony D. Blaom, Franz Kiraly, Thibaut Lienart, Yiannis Simillides, Diego Arenas, Sebastian J. Vollmer: MLJ: A Julia package for composable Machine Learning (2020) arXiv
  10. Behling, Roger; Bello-Cruz, J.-Yunier; Santos, Luiz-Rafael: The block-wise circumcentered-reflection method (2020)
  11. Bertsimas, Dimitris; Lamperski, Jourdain; Pauphilet, Jean: Certifiably optimal sparse inverse covariance estimation (2020)
  12. Bertsimas, Dimitris; Van Parys, Bart: Sparse hierarchical regression with polynomials (2020)
  13. Bierkens, Joris; van der Meulen, Frank; Schauer, Moritz: Simulation of elliptic and hypo-elliptic conditional diffusions (2020)
  14. Bognanni, Mark; Zito, John: Sequential Bayesian inference for vector autoregressions with stochastic volatility (2020)
  15. Borggaard, Jeff; Glatt-Holtz, Nathan; Krometis, Justin: A Bayesian approach to estimating background flows from a passive scalar (2020)
  16. Breuer, T.; Héthelyi, L.; Horváth, E.; Külshammer, B.: The Loewy structure of certain fixpoint algebras. I (2020)
  17. Bueno, Luís Felipe; Haeser, Gabriel; Santos, Luiz-Rafael: Towards an efficient augmented Lagrangian method for convex quadratic programming (2020)
  18. Cancès, Clément; Hillairet, Claire Chainais; Fuhrmann, Jürgen; Gaudeul, Benoît: On four numerical schemes for a unipolar degenerate drift-diffusion model (2020)
  19. Cazeaux, Paul; Luskin, Mitchell; Massatt, Daniel: Energy minimization of two dimensional incommensurate heterostructures (2020)
  20. Cea, Sebastián; Durán, Guillermo; Guajardo, Mario; Sauré, Denis; Siebert, Joaquín; Zamorano, Gonzalo: An analytics approach to the FIFA ranking procedure and the world cup final draw (2020)

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Further publications can be found at: http://julialang.org/publications/