A SAMPLING ALGORITHM FOR LARGE SCALE SHELL MODEL CALCULATIONS

摘要

We show that a recently developed algorithm for generating a subset of eigenvalues and eigenvectors of large matrices may be used for an efficient definition of an importance sampling of the shell-model basis. The sampling so implemented allows for substantial reductions of configuration spaces, and, also, for extrapolations to exact eigenvalues and E2 strengths.