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 127 articles )

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  1. Bauernöppel, Frank; Maheshwari, Anil; Sack, Jörg-Rüdiger: An (\Omega(n^d)) lower bound on the number of cell crossings for weighted shortest paths in (d)-dimensional polyhedral structures (2022)
  2. Ghosh, Supriyo; Newman, Christopher K.; Francois, Marianne M.: \textttTusas: a fully implicit parallel approach for coupled phase-field equations (2022)
  3. Lundell, Andreas; Kronqvist, Jan; Westerlund, Tapio: The supporting hyperplane optimization toolkit for convex MINLP (2022)
  4. Morandi, N.; Leus, R.; Yaman, H.: Exact algorithms for budgeted prize-collecting covering subgraph problems (2022)
  5. Samaké, Abdoulaye; Mahamane, Amadou; Diallo, Ouaténi: Parallel implementation and scalability results of a local-scale air quality model: application to Bamako urban city (2022)
  6. Cicerone, Serafino; D’Emidio, Mattia; Di Stefano, Gabriele; Navarra, Alfredo: On the effectiveness of the genetic paradigm for polygonization (2021)
  7. Fuentes-Sepúlveda, José; Seco, Diego; Viaña, Raquel: Succinct encoding of binary strings representing triangulations (2021)
  8. Gevorkyan, M. N.; Korol’kova, A. V.; Kulyabov, D. S.: Using a template engine as a computer algebra tool (2021)
  9. Götschel, Sebastian; Schiela, Anton; Weiser, Martin: Kaskade 7 -- a flexible finite element toolbox (2021)
  10. Herbrych, J.; Chazirakis, A. G.; Christakis, N.; Veerman, J. J. P.: Dynamics of locally coupled agents with next nearest neighbor interaction (2021)
  11. Hojny, Christopher; Joormann, Imke; Lüthen, Hendrik; Schmidt, Martin: Mixed-integer programming techniques for the connected max-(k)-cut problem (2021)
  12. Jomo, J.; Oztoprak, O.; de Prenter, F.; Zander, N.; Kollmannsberger, S.; Rank, E.: Hierarchical multigrid approaches for the finite cell method on uniform and multi-level (h p)-refined grids (2021)
  13. Maristany de las Casas, Pedro; Sedeño-Noda, Antonio; Borndörfer, Ralf: An improved multiobjective shortest path algorithm (2021)
  14. Mathieu Besançon, Theodore Papamarkou, David Anthoff, Alex Arslan, Simon Byrne, Dahua Lin, John Pearson: Distributions.jl: Definition and Modeling of Probability Distributions in the JuliaStats Ecosystem (2021) not zbMATH
  15. Matteo Magnani, Luca Rossi, Obaida Hanteer, Davide Vega: Analysis of Multiplex Social Networks with R (2021) not zbMATH
  16. Šefl, Vít: Translating lambda calculus into C++ templates (2021)
  17. Thomas Nagler: R-Friendly Multi-Threading in C++ (2021) not zbMATH
  18. Auer, Ekaterina; Rauh, Andreas; Kersten, Julia: Experiments-based parameter identification on the GPU for cooperative systems (2020)
  19. Blanco, Wilfredo; Lopes, Paulo H.; de S. Souza, Anderson Abner; Mascagni, Michael: Non-replicability circumstances in a neural network model with Hodgkin-Huxley-type neurons (2020)
  20. Demidov, D.; Rossi, R.: Subdomain deflation combined with local AMG: a case study using AMGCL library (2020)

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