Boost C++ Libraries

Boost provides free peer-reviewed portable C++ source libraries. We emphasize libraries that work well with the C++ Standard Library. Boost libraries are intended to be widely useful, and usable across a broad spectrum of applications. The Boost license encourages both commercial and non-commercial use. We aim to establish ”existing practice” and provide reference implementations so that Boost libraries are suitable for eventual standardization. Ten Boost libraries are included in the C++ Standards Committee’s Library Technical Report (TR1) and in the new C++11 Standard. C++11 also includes several more Boost libraries in addition to those from TR1. More Boost libraries are proposed for TR2.


References in zbMATH (referenced in 27 articles )

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  1. Fasi, Massimiliano; Higham, Nicholas J.: Multiprecision algorithms for computing the matrix logarithm (2018)
  2. Navas-Palencia, Guillermo: Fast and accurate algorithm for the generalized exponential integral $E_\nu(x)$ for positive real order (2018)
  3. Tuzun, Robert E.; Sikora, Adam S.: Verification of the Jones unknot conjecture up to 22 crossings (2018)
  4. Bob Carpenter and Andrew Gelman and Matthew Hoffman and Daniel Lee and Ben Goodrich and Michael Betancourt and Marcus Brubaker and Jiqiang Guo and Peter Li and Allen Riddell: Stan: A Probabilistic Programming Language (2017)
  5. Goerner, Matthias: A census of hyperbolic Platonic manifolds and augmented knotted trivalent graphs (2017)
  6. He Zhao and Graham Williams and Joshua Huang: wsrf: An R Package for Classification with Scalable Weighted Subspace Random Forests (2017)
  7. Peter Steinbach, Matthias Werner: gearshifft - The FFT Benchmark Suite for Heterogeneous Platforms (2017) arXiv
  8. Coomes, Brian A.; Koçak, Hüseyin; Palmer, Kenneth J.: A computable criterion for the existence of connecting orbits in autonomous dynamics (2016)
  9. Florian Heyl; Oliver Serang: TRIOT: Faster tensor manipulation in C++11 (2016) arXiv
  10. Oliveira, Carlos: Options and derivatives programming in C++. Algorithms and programming techniques for the financial industry (2016) ioport
  11. Rupp, Karl; Tillet, Philippe; Rudolf, Florian; Weinbub, Josef; Morhammer, Andreas; Grasser, Tibor; Jüngel, Ansgar; Selberherr, Siegfried: ViennaCL-linear algebra library for multi- and many-core architectures (2016)
  12. Van Der Hoeven, Joris; Lecerf, Grégoire; Quintin, Guillaume: Modular SIMD arithmetic in Mathemagix (2016)
  13. Cantwell, C. D.; Moxey, D.; Comerford, A.; Bolis, A.; Rocco, G.; Mengaldo, G.; De Grazia, D.; Yakovlev, S.; Lombard, J.-E.; Ekelschot, D.; Jordi, B.; Xu, H.; Mohamied, Y.; Eskilsson, C.; Nelson, B.; Vos, P.; Biotto, C.; Kirby, R. M.; Sherwin, S. J.: Nektar++: an open-source spectral/$hp$ element framework (2015)
  14. Alnæs, Martin S.; Logg, Anders; Ølgaard, Kristian B.; Rognes, Marie E.; Wells, Garth N.: Unified form language: a domain-specific language for weak formulations of partial differential equations (2014)
  15. Emiris, Ioannis Z.; Fisikopoulos, Vissarion: Efficient random-walk methods for approximating polytope volume (2014)
  16. Hingerl, Ferdinand F.; Kosakowski, Georg; Wagner, Thomas; Kulik, Dmitrii A.; Driesner, Thomas: GEMSFIT: a generic fitting tool for geochemical activity models (2014)
  17. Michael Kane; John Emerson; Stephen Weston: Scalable Strategies for Computing with Massive Data (2013)
  18. Zhou Y: vSMC: Parallel Sequential Monte Carlo in C++ (2013) arXiv
  19. Phipps, Eric; Pawlowski, Roger: Efficient expression templates for operator overloading-based automatic differentiation (2012)
  20. Prud’homme, Christophe; Chabannes, Vincent; Doyeux, Vincent; Ismail, Mourad; Samake, Abdoulaye: Feel++: a computational framework for Galerkin methods and advanced numerical methods (2012)

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