Year: 2019
Type: preprint
Abstract: The method of computing eigenvectors from eigenvalues of submatrices can be shown as equivalent to a method of computing the constraint which achieves specified stationary values of a quadratic optimization. Similarly, we show computation of eigenvectors of an orthonormal basis projection using eigenvalues of sub-projections.
Source: arXiv (Cornell University)
Author: Lakness, John
Language: English
Topic: Matrix Theory and Algorithms
Subfield: Computational Theory and Mathematics
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W2991762012