Julia

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 367 articles , 1 standard article )

Showing results 1 to 20 of 367.
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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. A. Grant Schissler, Edward J. Bedrick, Alexander D. Knudson, Tomasz J. Kozubowski, Tin Nguyen, Juli Petereit, Walter W. Piegorsch, Duc Tran: Simulating High-Dimensional Multivariate Data using the bigsimr R Package (2021) arXiv
  4. Alessandro Cheli: Metatheory.jl: Fast and Elegant Algebraic Computation in Julia with Extensible Equality Saturation (2021) not zbMATH
  5. Ali Bagci: JRAF: A Julia Package for Computation of the Relativistic Molecular Auxiliary Functions (2021) arXiv
  6. 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
  7. Becher, Simon; Matthies, Gunar: Variational time discretizations of higher order and higher regularity (2021)
  8. Bertsimas, Dimitris; Dunn, Jack; Wang, Yuchen: Near-optimal nonlinear regression trees (2021)
  9. Bertsimas, Dimitris; Mundru, Nishanth: Sparse convex regression (2021)
  10. Boscain, Ugo; Prandi, Dario; Sacchelli, Ludovic; Turco, Giuseppina: A bio-inspired geometric model for sound reconstruction (2021)
  11. Braun, M.: Comparison of densities obtained with competing density functional molecular codes (2021)
  12. Brown et al.: libCEED: Fast algebra for high-order element-based discretizations (2021) not zbMATH
  13. Browning, Alexander P.; Maclaren, Oliver J.; Buenzli, Pascal R.; Lanaro, Matthew; Allenby, Mark C.; Woodruff, Maria A.; Simpson, Matthew J.: Model-based data analysis of tissue growth in thin 3D printed scaffolds (2021)
  14. Brüdigam, Jan; Manchester, Zachary: Linear-time variational integrators in maximal coordinates (2021)
  15. Buchatsky, Sagi; Treister, Eran: Full waveform inversion using extended and simultaneous sources (2021)
  16. Calandra, Henri; Gratton, Serge; Riccietti, Elisa; Vasseur, Xavier: On high-order multilevel optimization strategies (2021)
  17. Cătinaş, Emil: How many steps still left to (x)? (2021)
  18. Chirre, Andrés; Pereira Júnior, Valdir José; De Laat, David: Primes in arithmetic progressions and semidefinite programming (2021)
  19. Colera, Manuel; Carpio, Jaime; Bermejo, Rodolfo: A nearly-conservative, high-order, forward Lagrange-Galerkin method for the resolution of scalar hyperbolic conservation laws (2021)
  20. Dandurand, Brian C.; Kim, Kibaek; Leyffer, Sven: A bilevel approach for identifying the worst contingencies for nonconvex alternating current power systems (2021)

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