Compressed Sparse Row (CSR) is a storage format used to efficiently represent and manipulate sparse matrices, where most of the elements are zero. In this format, the non-zero elements of the matrix are stored in a one-dimensional array, along with two additional arrays that keep track of the column indices of these elements and the starting index of each row. This organization significantly reduces memory usage and improves computational efficiency for operations on sparse matrices.
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