✦ LIBER ✦

Few Group Collapsing of Covariance Matrix Data Based on a Conservation Principle

✍ Scribed by H. Hiruta; G. Palmiotti; M. Salvatores; R. Arcilla Jr.; P. Obložinský; R.D. McKnight

Publisher: Elsevier Science
Year: 2008
Tongue: English
Weight: 566 KB
Volume: 109
Category: Article
ISSN: 0090-3752
DOI: 10.1016/j.nds.2008.11.013

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✦ Synopsis

A new algorithm for a rigorous collapsing of covariance data is proposed, derived, implemented, and tested. The method is based on a conservation principle that allows the uncertainty calculated in a fine group energy structure for a specific integral parameter, using as weights the associated sensitivity coefficients, to be preserved at a broad energy group structure.