Armadillo: An Open Source C++ Linear Algebra Library for Fast Prototyping and Computationally Intensive Experiments

By Conrad Sanderson. 2010

446 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/15c0c51fcc320a6e85051a04a90d11cacc02d916

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Citations in the corpus

Multi-Region Probabilistic Histograms for Robust and Scalable Identity Inference (2009, methodology): “The experiments were implemented with the aid of the Armadillo C++ library [18].”
Armadillo: a template-based C++ library for linear algebra (2016, background): “An overview of the internal architecture is given in (Sanderson 2010).”
The MADlib Analytics Library or MAD Skills, the SQL (2012, methodology): “: Version 0.1alpha is an implementation in C that computes the outer-vector products xixT i as a simple nested loop. Version 0.2.1beta introduced an implementation in C ++ that used the Armadillo [37] linear-algebra library as a frontend for LAPACK /BLAS. It turns out that this version was much sl”
RcppArmadillo: Accelerating R with high-performance C++ linear algebra (2014, methodology): “The Armadillo C++ library provides vector, matrix and cube types (supporting integer, floating point and complex numbers) as well as a subset of trigonometric and statistics functions (Sanderson, 2010).”
Patch-based probabilistic image quality assessment for face selection and improved video-based face recognition (2011, methodology): “The quality assessment methods were implemented with the aid of the Armadillo C++ library [27].”
Efficient sparse-to-dense optical flow estimation using a learned basis and layers (2015, methodology): “The core IRLS algorithm is implemented in C++ using Armadillo [41].”
Sparse Bayesian time-varying covariance estimation in many dimensions (2016, methodology): “pArmadillo (Eddelbuettel and Sanderson 2014). Additionally to providing an interface between R and C++, RcppArmadillo also accommodates fast linear algebra routines by means of the Armadillo library (Sanderson 2010). 9 T m r univariate SV lin. lin. lin. loadings lin. lin. quad. factors lin. lin. qua”
The tensor algebra compiler (2017, background): “…a lot of work on languages [Bezanson et al. 2012; Iverson 1962; MATLAB 2014], libraries [Anderson et al. 1999; Guennebaud et al. 2010; Intel 2012; Sanderson 2010; Van Der Walt et al. 2011; Whaley and Dongarra 1998], and compilers [Nelson et al. 2015; Spampinato and Püschel 2014] for dense linear…”
Automatic knot detection and measurements from X-ray CT images of wood: A review and validation of an improved algorithm on softwood samples (2012, methodology): “The Armadillo library (Sanderson, 2010) was used473 to process the 3D image matrix and to perform the 3D principal component474 analysis.”