Minimization of matrices in the inverse perturbation method

Y. Ronen

doi:10.1016/0306-4549(84)90010-0

Minimization of matrices in the inverse perturbation method

Y. Ronen

Unit of Nuclear Engineering

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

Abstract

A derivative of a functional with respect to matrices is defined. This definition is useful as a vehicle for obtaining a matrix that possesses a minimal norm. This minimization is required for determining the 'generalized bias operator'. The latter is used in calculations aimed at improving the agreement between the calculated and measured parameters of physical systems.

Original language	English
Pages (from-to)	579-583
Number of pages	5
Journal	Annals of Nuclear Energy
Volume	11
Issue number	11
DOIs	https://doi.org/10.1016/0306-4549(84)90010-0
State	Published - 1 Jan 1984

ASJC Scopus subject areas

Nuclear Energy and Engineering

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10.1016/0306-4549(84)90010-0

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Minimization of matrices in the inverse perturbation method

Abstract

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