About this document

QR Factorization Using Gram-Schmidt Methods by Bartek Kubiak is a document available to read on EtoBox.

1. QR factorization decomposes a matrix A into the product of an orthogonal matrix Q and an upper triangular matrix R. 2. There are two types of QR factorizations: skinny, where Q is mxn and R is nxn, and fat, where Q is mxm and R is mxn. 3. The Gram-Schmidt process computes the QR factorization by applying orthogonal transformations to the columns of A to produce the matrices Q and R. Modified Gram-Schmidt is generally preferred due to improved numerical stability.

Author

Bartek Kubiak

Language

EN