Matrix analysis
Journal of Computational and Applied Mathematics
On the Doubling Algorithm for a (Shifted) Nonsymmetric Algebraic Riccati Equation
SIAM Journal on Matrix Analysis and Applications
Journal of Computational and Applied Mathematics
A Fast Newton's Method for a Nonsymmetric Algebraic Riccati Equation
SIAM Journal on Matrix Analysis and Applications
Quadratic Model Updating with Symmetry, Positive Definiteness, and No Spill-Over
SIAM Journal on Matrix Analysis and Applications
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The eigenvalue shift technique is the most well-known and fundamental tool for matrix computations. Applications include the search of eigeninformation, the acceleration of numerical algorithms, the study of Google's PageRank. The shift strategy arises from the concept investigated by Brauer (1952) [11] for changing the value of an eigenvalue of a matrix to the desired one, while keeping the remaining eigenvalues and the original eigenvectors unchanged. The idea of shifting distinct eigenvalues can easily be generalized by Brauer's idea. However, shifting an eigenvalue with multiple multiplicities is a challenge issue and worthy of our investigation. In this work, we propose a new way for updating an eigenvalue with multiple multiplicities and thoroughly analyze its corresponding Jordan canonical form after the update procedure.