Compressed sparse row (CSR) is a memory-efficient storage format for sparse matrices, designed to store non-zero elements and their corresponding row indices in a compact way. This format allows for efficient access to matrix elements while significantly reducing memory usage, making it ideal for various computational applications. CSR organizes data into three one-dimensional arrays: one for the non-zero values, one for the column indices of these values, and one for the row pointers, which indicate where each row starts in the value array.
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