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Автор Robinson, G. K.
Дата выпуска 1988
dc.description AbstractThe speed of convergence of stationary iterative techniques for solving simultaneous linear equations may be increased by using a method similar to conjugate gradients but which does not require the stationary iterative technique to be symmetrisable. The method of refinement is to find linear combinations of iterates from a stationary technique which minimise a quadratic form. This basic method may be used in several ways to construct refined versions of the simple technique. In particular, quadratic forms of much less than full rank may be used. It is suggested that the method is likely to be competitive with other techniques when the number of linear equations is very large and little is known about the properties of the system of equations. A refined version of the Gauss-Seidel technique was found to converge satisfactorily for two large systems of equations arising in the estimation of genetic merit of dairy cattle.
Формат application.pdf
Издатель Cambridge University Press
Копирайт Copyright © Australian Mathematical Society 1988
Название A method of accelerating stationary iterative methods for solving linear systems
Тип research-article
DOI 10.1017/S0334270000006007
Electronic ISSN 1446-8735
Print ISSN 0334-2700
Журнал The Journal of the Australian Mathematical Society. Series B. Applied Mathematics
Том 30
Первая страница 1
Последняя страница 23
Аффилиация Robinson G. K.; CSIRO Division of Mathematics and Statistics, Private Bag 10, Clayton, Vic. 3168, Australia.
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