Armadillo is a C++ linear algebra library (matrix maths) aiming towards a good balance between speed and ease of use. Integer, floating point, and complex numbers are supported, as well as a subset of trigonometric and statistics functions. Various matrix decompositions are provided through optional integration with LAPACK and ATLAS libraries. A delayed evaluation approach, based on template meta-programming, is used (during compile time) to combine several operations into one and reduce or eliminate the need for temporaries. (Source:

References in zbMATH (referenced in 83 articles )

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  1. Barthels, Henrik; Psarras, Christos; Bientinesi, Paolo: Linnea. Automatic generation of efficient linear algebra programs (2021)
  2. Benjamin Christoffersen: dynamichazard: Dynamic Hazard Models Using State Space Models (2021) not zbMATH
  3. Christoph Kawan, Sigurdur Freyr Hafstein, Peter Giesl: ResEntSG: Restoration entropy estimation for dynamical systems via Riemannian metric optimization (2021) not zbMATH
  4. Dan Gordon, Paul Scott, Sylvie Thiébaux: SmartGridToolbox: A Library for Simulating Modern and Future Electricity Networks (2021) arXiv
  5. Degras, David: Sparse group fused Lasso for model segmentation: a hybrid approach (2021)
  6. Eswar, Srinivas; Hayashi, Koby; Ballard, Grey; Kannan, Ramakrishnan; Matheson, Michael A.; Park, Haesun: PLANC. Parallel low-rank approximation with nonnegativity constraints (2021)
  7. Hosszejni, D.; Kastner, G: Modeling Univariate and Multivariate Stochastic Volatility in R with stochvol and factorstochvol (2021) not zbMATH
  8. Jason Rumengan, Terry Yue Zhuo, Conrad Sanderson: PyArmadillo: a streamlined linear algebra library for Python (2021) arXiv
  9. Peltier, Samuel; Morin, Géraldine; Aholou, Damien: Tubular parametric volume objects: thickening a piecewise smooth 3D stick figure (2021)
  10. Xiao, Chuanfu; Yang, Chao; Li, Min: Efficient alternating least squares algorithms for low multilinear rank approximation of tensors (2021)
  11. Daniel Peña, Ezequiel Smucler, Victor Yohai: gdpc: An R Package for Generalized Dynamic Principal Components (2020) not zbMATH
  12. Donald Williams; Joris Mulder: BGGM: Bayesian Gaussian Graphical Models in R (2020) not zbMATH
  13. Flagg, Kenneth A.; Hoegh, Andrew; Borkowski, John J.: Modeling partially surveyed point process data: inferring spatial point intensity of geomagnetic anomalies (2020)
  14. Florez, Horacio; Gildin, Eduardo: Global/local model order reduction in coupled flow and linear thermal-poroelasticity (2020)
  15. Hessenthaler, Andreas; Southworth, Ben S.; Nordsletten, David; Röhrle, Oliver; Falgout, Robert D.; Schroder, Jacob B.: Multilevel convergence analysis of multigrid-reduction-in-time (2020)
  16. Kisung You, Changhee Suh: Rdimtools: An R package for Dimension Reduction and Intrinsic Dimension Estimation (2020) arXiv
  17. Lukas Riedel; Benjamin Herdeanu; Harald Mack; Yunus Sevinchan; Julian Weninger: Utopia: A Comprehensive and Collaborative Modeling Framework for Complex and Evolving Systems (2020) not zbMATH
  18. Markus Frings, Norbert Hosters, Corinna Müller, Max Spahn, Christoph Susen, Konstantin Key, Stefanie Elgeti: SplineLib: A Modern Multi-Purpose C++ Spline Library (2020) arXiv
  19. Reguly, István Z.; Mudalige, Gihan R.: Productivity, performance, and portability for computational fluid dynamics applications (2020)
  20. Reitberger, Günther; Sauer, Tomas: Background subtraction using adaptive singular value decomposition (2020)

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