Qr Decomposition
QR decomposition is a method used in linear algebra to decompose a matrix into the product of an orthogonal matrix and an upper triangular matrix. It is commonly used in various applications, such as solving systems of linear equations, least squares approximation, and eigenvalue computations. QR decomposition plays a crucial role in numerical computations and is widely utilized in fields such as engineering, physics, and data analysis.