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 346 articles , 1 standard article )

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  1. Adjé, Assalé: Quadratic maximization of reachable values of affine systems with diagonalizable matrix (2021)
  2. Agostini, Daniele; Çelik, Türkü Özlüm; Struwe, Julia; Sturmfels, Bernd: Theta surfaces (2021)
  3. Alessandro Cheli: Metatheory.jl: Fast and Elegant Algebraic Computation in Julia with Extensible Equality Saturation (2021) not zbMATH
  4. Ali Bagci: JRAF: A Julia Package for Computation of the Relativistic Molecular Auxiliary Functions (2021) arXiv
  5. 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
  6. Becher, Simon; Matthies, Gunar: Variational time discretizations of higher order and higher regularity (2021)
  7. Bertsimas, Dimitris; Dunn, Jack; Wang, Yuchen: Near-optimal nonlinear regression trees (2021)
  8. Bertsimas, Dimitris; Mundru, Nishanth: Sparse convex regression (2021)
  9. Boscain, Ugo; Prandi, Dario; Sacchelli, Ludovic; Turco, Giuseppina: A bio-inspired geometric model for sound reconstruction (2021)
  10. Braun, M.: Comparison of densities obtained with competing density functional molecular codes (2021)
  11. Brown et al.: libCEED: Fast algebra for high-order element-based discretizations (2021) not zbMATH
  12. Calandra, Henri; Gratton, Serge; Riccietti, Elisa; Vasseur, Xavier: On high-order multilevel optimization strategies (2021)
  13. Cătinaş, Emil: How many steps still left to (x)? (2021)
  14. Chirre, Andrés; Pereira Júnior, Valdir José; De Laat, David: Primes in arithmetic progressions and semidefinite programming (2021)
  15. Colera, Manuel; Carpio, Jaime; Bermejo, Rodolfo: A nearly-conservative, high-order, forward Lagrange-Galerkin method for the resolution of scalar hyperbolic conservation laws (2021)
  16. Dandurand, Brian C.; Kim, Kibaek; Leyffer, Sven: A bilevel approach for identifying the worst contingencies for nonconvex alternating current power systems (2021)
  17. Ding Ma, Dominique Orban, Michael A. Saunders: A Julia implementation of Algorithm NCL for constrained optimization (2021) arXiv
  18. Dostert, Maria; de Laat, David; Moustrou, Philippe: Exact semidefinite programming bounds for packing problems (2021)
  19. Dowson, Oscar; Kapelevich, Lea: SDDP.jl: a Julia package for stochastic dual dynamic programming (2021)
  20. Dragomir, Radu-Alexandru; d’Aspremont, Alexandre; Bolte, Jérôme: Quartic first-order methods for low-rank minimization (2021)

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