The Lanczos algorithm is an iterative numerical method used for solving large eigenvalue problems, particularly those that arise in the context of large sparse matrices. It was developed by Cornelius Lanczos in the 1950s as a way to find a few eigenvalues and corresponding eigenvectors of a Hermitian (or symmetric) matrix.
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