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/)

Keywords for this software

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References in zbMATH (referenced in 250 articles )

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  1. Abele, Daniel; Kleefeld, Andreas: New numerical results for the optimization of Neumann eigenvalues (2020)
  2. Aleksandrov, P. A.; Elenin, G. G.: Testing a new conservative method for solving the Cauchy problem for Hamiltonian systems on test problems (2020)
  3. 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)
  4. Hu, Chaoran; Pozdnyakov, Vladimir; Yan, Jun: Density and distribution evaluation for convolution of independent gamma variables (2020)
  5. Lajaunie, Christian; Renard, Didier; Quentin, Alexis; Le Guen, Vincent; Caffari, Yvan: A non-homogeneous model for kriging dosimetric data (2020)
  6. Marsland, Stephen; McLachlan, Robert I.; Wilkins, Matthew C.: Parallelization, initialization, and boundary treatments for the diamond scheme (2020)
  7. Náprstek, Jiří; Fischer, Cyril: Stable and unstable solutions in auto-parametric resonance zone of a non-holonomic system (2020)
  8. Papadodimas, Kyriakos; Raju, Suvrat; Shrivastava, Pushkal: A simple quantum test for smooth horizons (2020)
  9. 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)
  10. Shi, Chengchun; Lu, Wenbin; Song, Rui: A sparse random projection-based test for overall qualitative treatment effects (2020)
  11. Staino, Alessandro; Russo, Emilio: Nested conditional value-at-risk portfolio selection: a model with temporal dependence driven by market-index volatility (2020)
  12. Amicone, Floriana: Classification of balanced toral elements of exceptional Lie algebras (2019)
  13. 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)
  14. Cozma, Andrei; Mariapragassam, Matthieu; Reisinger, Christoph: Calibration of a hybrid local-stochastic volatility stochastic rates model with a control variate particle method (2019)
  15. Garcke, Harald; Hinze, Michael; Kahle, Christian: Optimal control of time-discrete two-phase flow driven by a diffuse-interface model (2019)
  16. Jensen, Max; Majee, Ananta K.; Prohl, Andreas; Schellnegger, Christian: Dynamic programming for finite ensembles of nanomagnetic particles (2019)
  17. Julien, Jean-Daniel; Pumir, Alain; Boudaoud, Arezki: Strain- or stress-sensing in mechanochemical patterning by the phytohormone auxin (2019)
  18. Khosla, Megha; Anand, Avishek: A faster algorithm for cuckoo insertion and bipartite matching in large graphs (2019)
  19. Oredsson, Joel; Rathsman, Johan: (\mathbbZ_2) breaking effects in 2-loop RG evolution of 2HDM (2019)
  20. O’Sullivan, Stephen: Runge-Kutta-Gegenbauer explicit methods for advection-diffusion problems (2019)

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