Sign eigenanalysis and its applications to optimization problems and robust statistics
نویسندگان
چکیده
منابع مشابه
Sign eigenanalysis and its applications to optimization problems and robust statistics
Sign eigenvectors for a real square matrix, A, are defined to be sign vectors for which all of its elements either retain the same signs or become to their opposite signs after the linear transformation A, where a sign vector is a vector with the elements equal to either 1 or −1. Existence of sign eigenvectors for symmetric positive semi-definite matrices is investigated. It is shown that the s...
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ژورنال
عنوان ژورنال: Computational Statistics & Data Analysis
سال: 2006
ISSN: 0167-9473
DOI: 10.1016/j.csda.2004.07.012