323 citations · 2k across the 63 of their papers we have counts for
Showing 2018 · cs.MSShow all
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cs.MS2018★ 33 cited
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…
cs.MS2018
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…
cs.MS2018★ 111 cited
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…