Inverse iteration repeatedly solves and normalizes. It is the power method for and converges toward an eigenvector whose eigenvalue is closest to the shift .
Inverse iteration, also known as inverse power method, is a numerical algorithm used to find the eigenvalues and eigenvectors of a matrix. It is particularly useful for finding the eigenvalues that are closest to a given scalar, often referred to as the shift parameter.
New to topics? Read the docs here!