Computing preconditioners via subspace projection

E. Boman; I. Koltracht

doi:10.1016/S0024-3795(99)00143-3

Computing preconditioners via subspace projection

E. Boman, I. Koltracht

School of Science, Engineering & Technology (Harrisburg)

Research output: Contribution to journal › Article › peer-review

1 Scopus citations

Abstract

We give an alternative method for computing the matrix argmin∥A - P∥_F, where ∥ · ∥_F is the Frobenius norm and P is taken from the set of square matrices simultaneously diagonalized by a given orthogonal trigonometric transform. Specific examples are given.

Original language	English (US)
Pages (from-to)	347-353
Number of pages	7
Journal	Linear Algebra and Its Applications
Volume	302-303
DOIs	https://doi.org/10.1016/S0024-3795(99)00143-3
State	Published - Dec 1 1999

All Science Journal Classification (ASJC) codes

Algebra and Number Theory
Numerical Analysis
Geometry and Topology
Discrete Mathematics and Combinatorics

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10.1016/S0024-3795(99)00143-3

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title = "Computing preconditioners via subspace projection",

abstract = "We give an alternative method for computing the matrix argmin∥A - P∥F, where ∥ · ∥F is the Frobenius norm and P is taken from the set of square matrices simultaneously diagonalized by a given orthogonal trigonometric transform. Specific examples are given.",

author = "E. Boman and I. Koltracht",

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AU - Boman, E.

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JO - Linear Algebra and Its Applications

JF - Linear Algebra and Its Applications

SN - 0024-3795

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Computing preconditioners via subspace projection

Abstract

All Science Journal Classification (ASJC) codes

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