QR factorization (QRF) decomposes a matrix into an orthonormal Q and upper-triangular R using the Gram-Schmidt process. By separating rotation or reflection from hierarchical deformation, this chapter establishes the geometric foundation for projections, isometric embeddings and stable linear systems.
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