A new approach for narrowing down huge calculations by focusing on a single, predictive parameter

A team that includes nuclear physicists, a machine-learning researcher and an NC State mathematician has created a new approach for narrowing down huge calculations - such as those involved in quantum physics - by focusing on a single, predictive parameter. This approach, dubbed the eigenvector continuation, could prove useful in solving other scientific and engineering problems where the calculations are simply too large for computer memory to handle.