This effect can e.g. be employed for computing the QR decomposition of a matrix; one advantage over Householder transformations is that they can easily be parallelised, and another is that for many very sparse matrices they have lower operation count.
One advantage over Householder transformations is that they can easily be parallelised, and another is that often for very sparse matrices they have a lower operation count. This effect can, for example, be employed for computing the QR decomposition of a matrix.
This effect can, for example, be employed for computing the QR decomposition of a matrix. One advantage over Householder transformations is that they can easily be parallelised, and another is that often for very sparse matrices they have a lower operation count.
This effect can, for example, be employed for computing the QR decomposition of a matrix. One advantage over Householder transformations is that they can easily be parallelised, and another is that often for very sparse matrices they have a lower operation count.