Matrix-free methods refer to computational techniques used for solving numerical problems, particularly in the context of large-scale linear algebra problems, optimization, and differential equations, without explicitly forming and storing the matrices involved. These methods are particularly beneficial when dealing with large matrices where storing the complete matrix is infeasible due to memory constraints. Instead of relying on the matrix itself, matrix-free methods utilize only the ability to perform matrix-vector products or related operations.

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