Singular Value Decomposition of Matrices with Uncertain Parameters
Sarishti Singh, Geetanjali Panda · 2022
This paper presents an algorithm for computing singular value decomposition (SVD) of an interval matrix. The application relies on the tighter outer estimations of eigenvalues and their corresponding eigenvectors. The outer approximation of the bounds of eigenvalues of symmetric interval matrices is determined using strong regularity conditions.