Generalized approximating splitting iterations for solving linear least squares problems in finite dimensions



Document title: Generalized approximating splitting iterations for solving linear least squares problems in finite dimensions
Journal: Computational & applied mathematics
Database: PERIÓDICA
System number: 000268607
ISSN: 1807-0302
Authors: 1
Institutions: 1Centro de Neurociencias de Cuba, Departamento de Neurofísica, La Habana. Cuba
Year:
Season: May-Ago
Volumen: 24
Number: 2
Pages: 193-208
Country: Brasil
Language: Inglés
Document type: Artículo
Approach: Experimental, analítico
English abstract In this paper, a new special class of splitting iterations for solving linear least squares problems in finite dimensions is defined and their main properties of strong global convergence to any problem solution are derived. The investigation results prove the new splitting iterations to be a generalization of the approximating splitting iterations for solving linear least squares problems in finite dimensions, suggesting their suitability for the robust approximate solution of such problems
Disciplines: Matemáticas,
Ciencias de la computación
Keyword: Matemáticas aplicadas,
Programación matemática jerárquica,
Iteración,
Mínimos cuadrados,
Convergencia global
Keyword: Mathematics,
Computer science,
Applied mathematics,
Iteration,
Least squares,
Global convergence,
Hierarchical mathematical programming
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