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SIAM Journal on Matrix Analysis and Applications
Article . 1993 . Peer-reviewed
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Approximation by a Hermitian Positive Semidefinite Toeplitz Matrix

Approximation by a Hermitian positive semidefinite Toeplitz matrix
Authors: Suffridge, T. J.; Hayden, T. L.;

Approximation by a Hermitian Positive Semidefinite Toeplitz Matrix

Abstract

The authors study the problem of finding the closest Hermitian positive semidefinite Toeplitz matrix of a given rank to an arbitrary given matrix (in the Frobenius norm = Hilbert-Schmidt norm). They introduce two methods, one is based on using a special orthonormal basis in the space of Hermitian Toeplitz matrices and the second is a modified alternating projection method. Some numerical results associated with their methods are given.

Keywords

Positive matrices and their generalizations; cones of matrices, Hermitian positive semidefinite Toeplitz matrix, alternating projection method, Norms of matrices, numerical range, applications of functional analysis to matrix theory, Hermitian, skew-Hermitian, and related matrices, numerical results, self-inversive polynomials

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
20
Top 10%
Top 10%
Average
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