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

Hiruta, H. ; Palmiotti, G. ; Arcilla, R. ; Oblozinsky, P.

Technical Information Center Oak Ridge Tennessee

关键词: Algorithms;    Matrices;    Sensitivity;    Conservation laws;    Fast neutron;   

RP-ID  :  DE2008939954

学科分类：工程和技术（综合）

美国|英语

来源: National Technical Reports Library

【 摘 要 】

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 preserving at a broad energy group structure the uncertainty calculated in a fine group energy structure for a specific integral parameter, using as weights the associated sensitivity coefficients.