Despite significant mathematical refinements, econometrics has shown the weaknesses of its logical underpinnings, primarily during economic turning points—financial crises, pandemics, and geopolitical ...
Abstract: Nonnegative low-rank matrix approximation is an important technique in data analysis for extracting meaningful patterns from high-dimensional nonnegative data. This nonnegative low-rank ...
Abstract: With the rising demand for the performance of sparse matrix-vector multiplication (SpMV) in various fields, traditional optimization approaches for SpMV computation, which are designed ...
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