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Completely Positive Matrices.

A real matrix is positive semidefinite if it can be decomposed as A=BB'. In some applications the matrix B has to be elementwise nonnegative. If such a matrix exists, A is called completely positive. The smallest number of columns of a nonnegative matrix B such that A=BB' is known as the c...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Shaked-Monderer, Naomi (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: World Scientific 2003.
Temas:
Acceso en línea:Texto completo
Descripción
Sumario:A real matrix is positive semidefinite if it can be decomposed as A=BB'. In some applications the matrix B has to be elementwise nonnegative. If such a matrix exists, A is called completely positive. The smallest number of columns of a nonnegative matrix B such that A=BB' is known as the cp rank of A. This work focuses on necessary conditions and sufficient conditions for complete positivity, as well as bounds for the cp rank. The methods are combinatorial, geometric and algebraic. The required background on nonnegative matrices, cones, graphs and Schur complements is outlined.
Descripción Física:1 online resource
Bibliografía:Includes bibliographical references (pages 193-197) and index.
ISBN:1281935638
9781281935632
9789812795212
9812795219