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QR-Factorization

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After a permutation of columns (if necessary) any $ n \times m$ matrix $ A$ can be factored into a product of a unitary and a generalized upper triangular matrix

$\displaystyle A(:,I)=QR\,. $

This can be accomplished by $ \min(m-1,n)$ Householder transformations at most:

$\displaystyle Q=\left( \cdots Q_2 Q_1 \right)^{-1}=Q_1 Q_2 \cdots \,. $

Before the $ \ell$-th transformation the modified matrix $ Q_{\ell-1} \cdots Q_1 A(:,I)$ has the form

\begin{displaymath} \left( \begin{array}{ccc\vert ccc} * & \cdots & * & * & \... ... & \\ & 0 & & & B & \\ & & & & & \end{array} \right). \end{displaymath}

If $ B$ is zero, the upper triangular form is reached. Otherwise, two columns are interchanged in such a way that the first column $ c$ of $ B$ has the largest 2-norm. Then, a Householder transformation based on $ c$ is applied to $ B$, advancing the triangular structure one step further.

The permutations are recorded in the index vector $ I$, which initially is set to $ (1, \ldots,m)$. For any column interchange the corresponding indices in $ I$ are permuted.

see also:

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  automatically generated 7/ 2/2007