To add two sparse matrices, you can represent them using dictionaries or coordinate lists that store only non-zero elements, typically in the form of (row, column, value) tuples. Iterate through the non-zero elements of both matrices, summing their values when they occupy the same position. Finally, reconstruct the resulting sparse matrix by collecting all non-zero sums into a new structure. This approach efficiently handles large matrices with mostly zero entries, reducing memory usage and computation time.
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