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:

References in zbMATH (referenced in 97 articles )

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  1. Blaser, Rico; Fryzlewicz, Piotr: Random rotation ensembles (2016)
  2. Daniška, Michal; Gendiar, Andrej: Analysis of quantum spin models on hyperbolic lattices and Bethe lattice (2016)
  3. Johansson, H.T.; Forssén, C.: Fast and accurate evaluation of Wigner $3j$, $6j$, and $9j$ symbols using prime factorization and multiword integer arithmetic (2016)
  4. Lista, Luca: Statistical methods for data analysis in particle physics (2016)
  5. Luukko, P.J.J.; Helske, J.; Räsänen, E.: Introducing libeemd: a program package for performing the ensemble empirical mode decomposition (2016)
  6. Navas-Palencia, Guillermo; Arratia, Argimiro: On the computation of confluent hypergeometric functions for large imaginary part of parameters $b$ and $z$ (2016)
  7. Farach-Colton, Martín; Tsai, Meng-Tsung: Exact sublinear binomial sampling (2015)
  8. Kot, Mark; Phillips, Austin: Bounds for the critical speed of climate-driven moving-habitat models (2015)
  9. Müller, Thomas: Image-based general-relativistic visualization (2015)
  10. Uecker, Hildegard; Setter, Derek; Hermisson, Joachim: Adaptive gene introgression after secondary contact (2015)
  11. Abbott, John; Bigatti, Anna Maria: What is new in CoCoA? (2014)
  12. Garrido, José M.: Introduction to computational modeling using C and open-source tools (2014)
  13. Mandli, Aravinda R.; Modak, Jayant M.: Optimal control analysis of the dynamic growth behavior of microorganisms (2014)
  14. Neville, Sarah E.; Ormerod, John T.; Wand, M.P.: Mean field variational Bayes for continuous sparse signal shrinkage: pitfalls and remedies (2014)
  15. Rodríguez, Carlos E.; Walker, Stephen G.: Univariate Bayesian nonparametric mixture modeling with unimodal kernels (2014)
  16. Barr, Earl T.; Vo, Thanh; Le, Vu; Su, Zhendong: Automatic detection of floating-point exceptions (2013)
  17. Bhattacharya, Subhrajit; Lipsky, David; Ghrist, Robert; Kumar, Vijay: Invariants for homology classes with application to optimal search and planning problem in robotics (2013)
  18. Dashti, M.; Law, K.J.H.; Stuart, A.M.; Voss, J.: MAP estimators and their consistency in Bayesian nonparametric inverse problems (2013)
  19. de Camargo, D.Q.; Bodmann, B.E.J.; Vilhena, M.T.; Segatto, C.F.: Analytical study of computational radiative fluxes in a heterogeneous medium (2013)
  20. De Micheli, Enrico; Viano, Giovanni Alberto: The expansion in Gegenbauer polynomials: a simple method for the fast computation of the Gegenbauer coefficients (2013)

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