Boost

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 168 articles )

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  1. Abate, Alessandro; Bessa, Iury; Cordeiro, Lucas; David, Cristina; Kesseli, Pascal; Kroening, Daniel; Polgreen, Elizabeth: Automated formal synthesis of provably safe digital controllers for continuous plants (2020)
  2. Auer, Ekaterina; Rauh, Andreas; Kersten, Julia: Experiments-based parameter identification on the GPU for cooperative systems (2020)
  3. Johansson, Fredrik: Computing the Lambert (W) function in arbitrary-precision complex interval arithmetic (2020)
  4. Kaczmarczyk, Łukasz; Ullah, Zahur; Lewandowski, Karol; Meng, Xuan; Zhou, Xiao-Yi; Athanasiadis, Ignatios; Nguyen, Hoang; Chalons-Mouriesse, Christophe-Alexandre; Richardson, Euan J.; Miur, Euan; Shvarts, Andrei G.; Wakeni, Mebratu; Pearce, Chris J.: MoFEM: An open source, parallel nite element library (2020) not zbMATH
  5. Reguly, István Z.; Mudalige, Gihan R.: Productivity, performance, and portability for computational fluid dynamics applications (2020)
  6. Bohn, Adam; Faenza, Yuri; Fiorini, Samuel; Fisikopoulos, Vissarion; Macchia, Marco; Pashkovich, Kanstantsin: Enumeration of 2-level polytopes (2019)
  7. Dimitrios Michail, Joris Kinable, Barak Naveh, John V Sichi: JGraphT - A Java library for graph data structures and algorithms (2019) arXiv
  8. Fu, Lin; Han, Luhui; Hu, Xiangyu Y.; Adams, Nikolaus A.: An isotropic unstructured mesh generation method based on a fluid relaxation analogy (2019)
  9. Green, Kevin R.; Bohn, Tanner A.; Spiteri, Raymond J.: Direct function evaluation versus lookup tables: when to use which? (2019)
  10. Ji, Zhe; Fu, Lin; Hu, Xiangyu Y.; Adams, Nikolaus A.: A new multi-resolution parallel framework for SPH (2019)
  11. Kiefer, Nicholas; Oremek, Maximilian J.; Hoeft, Andreas; Zenker, Sven: Model-based quantification of left ventricular diastolic function in critically ill patients with atrial fibrillation from routine data: a feasibility study (2019)
  12. Koster, A. M. C. A.; Scheidweiler, R.; Tieves, M.: A flow based pruning scheme for enumerative equitable coloring algorithms (2019)
  13. Kress, Dominik; Müller, David; Nossack, Jenny: A worker constrained flexible job shop scheduling problem with sequence-dependent setup times (2019)
  14. Łoś, Marcin; Kłusek, Adrian; Hassaan, Muhammad Amber; Pingali, Keshav; Dzwinel, Witold; Paszyński, Maciej: Parallel fast isogeometric L2 projection solver with Galois system for 3D tumor growth simulations (2019)
  15. Møyner, Olav; Nilsen, Halvor Møll: Multiresolution coupled vertical equilibrium model for fast flexible simulation of CO(_2) storage (2019)
  16. Ramani, Arjun S.; Eikmeier, Nicole; Gleich, David F.: Coin-flipping, Ball-dropping, and Grass-hopping for generating random graphs from matrices of edge probabilities (2019)
  17. Andersen, Jakob L.; Merkle, Daniel: A generic framework for engineering graph canonization algorithms (2018)
  18. Berglund, Martin; Bester, Willem; van der Merwe, Brink: Formalising Boost POSIX regular expression matching (2018)
  19. Cavoretto, Roberto; Schneider, Teseo; Zulian, Patrick: \textscOpenCLbased parallel algorithm for RBF-PUM interpolation (2018)
  20. Griewank, Andreas; Streubel, Tom; Lehmann, Lutz; Radons, Manuel; Hasenfelder, Richard: Piecewise linear secant approximation via algorithmic piecewise differentiation (2018)

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