Sparsification is the process of reducing a matrix to its essential components by removing or approximating non-significant entries, thereby transforming it into a sparser format. This is particularly relevant for large matrices, where only a small number of entries are non-zero, allowing for more efficient storage and computation. By focusing on these significant entries, sparsification helps streamline data handling and enhances algorithm performance in various applications.
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