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Many problems in science and engineering require the solving of linear systems of equations. As the problems get larger it becomes increasingly important to exploit the sparsity inherent in many such linear systems. It is well recognized that finding a fill-reducing ordering is crucial to the success of the numerical solution of sparse linear systems. Theâ€¦Â (More)

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Highly Influential

Highly Influential

Highly Influential

Highly Influential

Highly Influential

Highly Influential

Highly Influential

Highly Influential

Highly Influential

Highly Influential

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