Studies of the computational error in the probabilistic eigenvalue analysis

Abstract

Several models for probabilistic eigenvalue analysis are comparatively studied in computational precision in this paper. The focus is on the computational errors of eigenvalue expectation and variance, as well as the high cumulants. Based on particular testing systems, the study provides a useful error comparison for further application.