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Sparse matrix operations are critical kernels in multiple application domains such as High Performance Computing, artificial intelligence and big data. Vector processing is widely used to improve ...

Sparse matrix multiplication (spGEMM) is widely used to analyze the sparse network data, and extract important information based on matrix representation. As it contains a high degree of data ...

Utility sparse matrix functions for Quantitative Language Comparison (QLC) This R-package contains various functions that extend the functionality of the Matrix package for using sparse matrices. Some ...

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Beenakker and a co-worker showed, in random matrix calculations, that excess photon noise is also expected to occur in random lasers above threshold 13, 14.