GSL

The GNU Scientific Library (GSL) is a numerical library for C and C++ programmers. It is free software under the GNU General Public License. The library provides a wide range of mathematical routines such as random number generators, special functions and least-squares fitting. There are over 1000 functions in total with an extensive test suite. (Source: http://freecode.com/)


References in zbMATH (referenced in 255 articles )

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  1. Anders Markvardsen, Tyrone Rees, Michael Wathen, Andrew Lister, Patrick Odagiu, Atijit Anuchitanukul, Tom Farmer, Anthony Lim, Federico Montesino, Tim Snow, Andrew McCluskey: FitBenchmarking: an open source Python package comparing data fitting software (2021) not zbMATH
  2. Bu, Lei; Liang, Yongjuan; Xie, Zhunyi; Qian, Hong; Hu, Yi-Qi; Yu, Yang; Chen, Xin; Li, Xuandong: Machine learning steered symbolic execution framework for complex software code (2021)
  3. Fasi, Massimiliano; Higham, Nicholas J.: Matrices with tunable infinity-norm condition number and no need for pivoting in LU factorization (2021)
  4. Haramoto, Hiroshi: Study on upper limit of sample size for a two-level test in NIST SP800-22 (2021)
  5. Wang, Yiting; Kong, Jing: Efficient spherical surface integration of Gauss functions in three-dimensional spherical coordinates and the solution for the modified Bessel function of the first kind (2021)
  6. Abele, Daniel; Kleefeld, Andreas: New numerical results for the optimization of Neumann eigenvalues (2020)
  7. Aleksandrov, P. A.; Elenin, G. G.: Testing a new conservative method for solving the Cauchy problem for Hamiltonian systems on test problems (2020)
  8. de Oliveira, Vitor M.; Sousa-Silva, Priscilla A.; Caldas, Iberê L.: Order-chaos-order and invariant manifolds in the bounded planar Earth-Moon system (2020)
  9. Gevorkyan, M. N.; Demidova, A. V.; Korol’kova, A. V.; Kulyabov, D. S.: A practical approach to testing random number generators in computer algebra systems (2020)
  10. Hu, Chaoran; Pozdnyakov, Vladimir; Yan, Jun: Density and distribution evaluation for convolution of independent gamma variables (2020)
  11. Lajaunie, Christian; Renard, Didier; Quentin, Alexis; Le Guen, Vincent; Caffari, Yvan: A non-homogeneous model for kriging dosimetric data (2020)
  12. Marsland, Stephen; McLachlan, Robert I.; Wilkins, Matthew C.: Parallelization, initialization, and boundary treatments for the diamond scheme (2020)
  13. Náprstek, Jiří; Fischer, Cyril: Stable and unstable solutions in auto-parametric resonance zone of a non-holonomic system (2020)
  14. Papadodimas, Kyriakos; Raju, Suvrat; Shrivastava, Pushkal: A simple quantum test for smooth horizons (2020)
  15. Scullard, Christian R.; Hickok, Abigail; Sotiris, Justyna O.; Tzolova, Bilyana M.; Van Heyningen, R. Loek; Graziani, Frank R.: Adaptive spectral solution method for the Landau and Lenard-Balescu equations (2020)
  16. Shi, Chengchun; Lu, Wenbin; Song, Rui: A sparse random projection-based test for overall qualitative treatment effects (2020)
  17. Staino, Alessandro; Russo, Emilio: Nested conditional value-at-risk portfolio selection: a model with temporal dependence driven by market-index volatility (2020)
  18. Amicone, Floriana: Classification of balanced toral elements of exceptional Lie algebras (2019)
  19. Arndt, Daniel; Bangerth, Wolfgang; Clevenger, Thomas C.; Davydov, Denis; Fehling, Marc; Garcia-Sanchez, Daniel; Harper, Graham; Heister, Timo; Heltai, Luca; Kronbichler, Martin; Kynch, Ross Maguire; Maier, Matthias; Pelteret, Jean-Paul; Turcksin, Bruno; Wells, David: The deal.II library, Version 9.1 (2019)
  20. Cozma, Andrei; Mariapragassam, Matthieu; Reisinger, Christoph: Calibration of a hybrid local-stochastic volatility stochastic rates model with a control variate particle method (2019)

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