Matrix Dimensions
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Decompose any matrix $A$ of dimension $m \times n$ into the product of an orthogonal matrix $Q$ and an upper triangular matrix $R$ such that $A = QR$.
QR decomposition (also called QR factorization) is a matrix decomposition that factors a matrix $A$ into a product $A = QR$ where:
QR decomposition has numerous applications in numerical linear algebra and scientific computing:
For a matrix $A$ of dimension $m \times n$, QR decomposition exists if:
If these conditions are not satisfied, the decomposition might not exist or might not be unique.
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