QR decomposition

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Master QR factorization with this comprehensive guide. Learn how to decompose matrices into orthogonal and upper triangular components using Gram-Schmidt, Householder reflections, or Givens rotations. Improve your numerical linear algebra skills by understanding this essential algorithm for solving least squares problems, eigenvalue computations, and matrix inversion efficiently. Optimize your mathematical modeling and computational data analysis workflows today.