Abstract: We propose in this paper a randomized tensor singular value decomposition (SVD) based on tensor product. The SVD is widely used in literature as reduction data method. Its randomized matrix ...
Not everyone will write their own optimizing compiler from scratch, but those who do sometimes roll into it during the course ...
Abstract: Algebraic multigrid (AMG) methods are particularly efficient to solve a wide range of sparse linear systems, due to their good flexibility and adaptability. Even though modern parallel ...
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