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Druinsky, Alex; Carlebach, Eyal; Toledo, Sivan
Numerical linear algebra with applications, March 2018, 2018-03-00, 20180301, Volume: 25, Issue: 2Journal Article
Summary We propose a new inertia‐revealing factorization for sparse symmetric matrices. The factorization scheme and the method for extracting the inertia from it were proposed in the 1960s for dense, banded, or tridiagonal matrices, but they have been abandoned in favor of faster methods. We show that this scheme can be applied to any sparse symmetric matrix and that the fill in the factorization is bounded by the fill in the sparse QR factorization of the same matrix (but is usually much smaller). We describe our serial proof‐of‐concept implementation and present experimental results, studying the method's numerical stability and performance.
