QR decomposition is a method used in linear algebra to factor a matrix into two components: an orthogonal matrix Q and an upper triangular matrix R. This decomposition is particularly useful for solving linear systems, least squares problems, and for numerical stability in computations. It closely relates to the Gram-Schmidt orthogonalization process and plays a vital role in applications within computer science and data analysis.
congrats on reading the definition of qr decomposition. now let's actually learn it.