Abstract: Analytically solving complex or large-scale differential equations is often difficult or even impossible, making numerical integration methods indispensable. However, as all numerical ...
For reference, we used cuda/10.1 and cudnn/v7.6.5.32 for our experiments. We expect that slight variations in versions are also compatible. See DATA.md for instructions on how to download and set up ...
Abstract: This study embarks on an in-depth analysis of the performance of various kernel functions, namely uniform, epanechnikov, triangular, and gaussian, in window-based and spectral ...
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