The power method is an iterative algorithm used to approximate the dominant eigenvalue and corresponding eigenvector of a matrix. This technique relies on repeated multiplication of an initial vector by the matrix, allowing the largest eigenvalue to emerge through convergence, making it essential in understanding diagonalization and spectral decomposition.
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