30 citations · 48 across the 7 of their papers we have counts for
8 papers · 1 filter
Bandicoot: C++ Library for GPU Linear Algebra and Scientific Computing
Ryan R. Curtin, Marcus Edel, Conrad Sanderson
This report provides an introduction to the Bandicoot C++ library for linear algebra and scientific computing on GPUs, overviewing its user interface and performance characteristic…
mlpack 4: a fast, header-only C++ machine learning library
Ryan R. Curtin, Marcus Edel, Omar Shrit +16
For over 15 years, the mlpack machine learning library has served as a "swiss army knife" for C++-based machine learning. Its efficient implementations of common and cutting-edge m…
An Adaptive Solver for Systems of Linear Equations
Conrad Sanderson, Ryan Curtin
Computational implementations for solving systems of linear equations often rely on a one-size-fits-all approach based on LU decomposition of dense matrices stored in column-major…
Practical Sparse Matrices in C++ with Hybrid Storage and Template-Based Expression Optimisation
Conrad Sanderson, Ryan Curtin
Despite the importance of sparse matrices in numerous fields of science, software implementations remain difficult to use for non-expert users, generally requiring the understandin…
ensmallen: a flexible C++ library for efficient function optimization
Shikhar Bhardwaj, Ryan R. Curtin, Marcus Edel +2
We present ensmallen, a fast and flexible C++ library for mathematical optimization of arbitrary user-supplied functions, which can be applied to many machine learning problems. Se…
A User-Friendly Hybrid Sparse Matrix Class in C++
Conrad Sanderson, Ryan Curtin
When implementing functionality which requires sparse matrices, there are numerous storage formats to choose from, each with advantages and disadvantages. To achieve good performan…