COMPUTING THE EIGENVALUES AND EIGENVECTORS OF A MATRIX.
Abstract
The general problem of finding the eigenvalues and eigenvectors of a matrix, with the aid of a digital computer, is investigated. Primary emphasis is placed on the description of methods by which the given matrix is reduced to diagonal, triangular, tridiagonal or Hessenberg form, the latter two cases requiring an additional stage of computation to find the eigenvalues. Comparisons are made between competing techniques with respect to stability, accuracy, and speed of computation. (Author)
Document Details
- Document Type
- Technical Report
- Publication Date
- Jan 01, 1966
- Accession Number
- AD0478457
Entities
People
- Charles W. Skinner
Organizations
- University of Texas at Austin