On Positive Semidefinite Matrices with Known Null Space

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On Positive Semidefinite Matrices with Known Null Space

We show how the zero structure of a basis of the null space of a positive semidefinite matrix can be exploited to very accurately compute its Cholesky factorization. We discuss consequences of this result for the solution of (constrained) linear systems and eigenvalue problems. The results are of particular interest if A and the null space basis are sparse.

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ژورنال

عنوان ژورنال: SIAM Journal on Matrix Analysis and Applications

سال: 2002

ISSN: 0895-4798,1095-7162

DOI: 10.1137/s0895479800381331