THE Effects of Rounding Error on an Algorithm for Downdating a Cholesky Factorization.
Abstract
Let the positive definite matrix A have a Cholesky factorization A = RtransposedR. For a given vector x suppose that A' = A - xxtransposed has a Cholesky factorization A' = R'transposedR'. This paper considers an algorithm for computing R' form R and x and an extension for removing a row from the QR factorization of a regression problem. It is shown that the algorithm is stable in the presence of rounding errors. However, it is also shown that the matrix R' can be a very ill-conditioned function of R and x. (Author)
Document Details
- Document Type
- Technical Report
- Publication Date
- Sep 01, 1977
- Accession Number
- ADA045388
Entities
People
- Gilbert W. Stewart
Organizations
- University of Maryland