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Sparse matrices are characterized by having a majority of their elements as zero, making them efficient for storage and computation in various applications such as image processing and large linear systems. Common representation methods include Coordinate Format (COO), Compressed Sparse Row (CSR), and Compressed Sparse Column (CSC), each optimizing memory usage and performance. Specialized algorithms for operations like multiplication and solving linear systems enhance the utility of sparse matrices in scie

Author

مصطفى احمد

Language

EN