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QR through lens
- QR decomposition transforms a matrix A into an orthonormal matrix Q and an upper triangular matrix R.
- Q rotates the original basis into an orthonormal basis, while R represents the scaling and interactions between vectors.
- QR provides a structured and clearer representation of the vectors in the matrix.
- It helps in performing operations like dot products, projections, and solving systems of equations in a more efficient manner.
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