[Linear Algebra] Orthogonal to QR Factorization

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Master the QR factorization method with this comprehensive guide. Learn how to decompose matrices into orthogonal and triangular components, a fundamental process in linear algebra. Explore essential applications, including least squares approximation, eigenvalue algorithms, and numerical stability techniques, to efficiently solve complex computational problems using proven matrix decomposition strategies.