A tensor product factorization of the linear convolution matrix

A tensor product representation of the Agarwal-Burns nesting scheme is presented. In addition to providing a highly compact representation of this approach to nesting, it is shown that the tensor product approach provides the structure needed to easily derive several variant schemes that are well suited for use on vector processor and multiprocessor computers.<
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