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A sparse matrix stores only its nonzero entries, saving huge amounts of memory when most entries are zero.
A tensor is a multi-dimensional array that generalizes scalars (0-D), vectors (1-D), and matrices (2-D) to higher dimensions.
Matrix operations like multiplication and transpose combine or reorient data tables and linear transformations in predictable ways.