Мобильная версия

Доступно журналов:

3 288

Доступно статей:

3 891 637

 

Скрыть метаданые

Автор Bodon, Elena
Дата выпуска 1990
dc.description The code described here finds the minimal solution of the linear least squares problem by the QR method obtained by means of the application of the ABS symmetric algorithm for linear systems of equations. Computational results have shown a better accuracy of the new algorithm against the classical implementations of the QR method (with Householder transformations as implemented in current scientific libraries
Формат application.pdf
Издатель Akademic-Verlag
Копирайт Copyright Taylor and Francis Group, LLC
Тема Linear Least Squares
Тема QR Method
Тема ABS Algorithms
Тема Numerical Experiments
Название A code for linear least squares based upon the ABS procedure
Тип research-article
DOI 10.1080/02331939008843558
Electronic ISSN 1029-4945
Print ISSN 0233-1934
Журнал Optimization
Том 21
Первая страница 371
Последняя страница 378
Аффилиация Bodon, Elena; Dept. of Mathematics, University of Genua; Dipartimento di Matematica, Universita di Genova
Выпуск 3
Библиографическая ссылка Wilkinson, J.H. and Reinsch, C. 1971. “Handbook for Automatic Computation”. In Linear Algebra, Vol. II, Berlin: Springer-Verlag.
Библиографическая ссылка Abaffy, J., Broyden, C.G. and Spedicato, E. 1984. A Class of Direct Methods for Linear Systems. Numerische Mathematik, 45(3): 361–387.
Библиографическая ссылка Abaffy, J. and Spedigato, E. 1987. Numerical Experiments with the Symmetric Algorithm in the ABS Class for Linear Systems. Optimization, 18(2): 197–212.
Библиографическая ссылка Spedicato, E. and Vespucci, M.T. 1987. Computational performances of the Implicit GBAM-SCHMIDT (HTJAHG) Algorithm for Linear Algebraic Systems, University of Bergamo. Report DMSIA 87/4
Библиографическая ссылка Abaffy, J. and Spedicato, E. The ABS Projection Algorithm: Mathematical Techniques for Linear and Nonlinear Systems, Ellis Horwood. to appear
Библиографическая ссылка Spedicato, E. and Bodon, E. 1987. Application of the ABS Algorithm to Linear Least Squares, University of Bergamo. Report DMSIA N. 13

Скрыть метаданые