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Sparsity Analysis of Q-R Factorization

A complete combinatorial/graph theoretic answer is given to the following question. Given only the nonzero pattern of an m-by-n matrix A with full column rank, which entries of Q and which entries of R in its Q-R factorization must be 0 and which may be nonzero? Recall that in the Q-R factorization, R is upper triangular and Q has orthonormal columns. The motivation for knowing is to allocate storage for large sparse problems. Some of the ideas may transfer to other problems, and the answer requires careful thought about the implication of orthogonality.
 
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