Laxmi Parida, Pier F. Palamara, et al.
BMC Bioinformatics
We study a class of methods for accelerating the convergence of iterative methods for solving linear systems. The methods proceed by replacing the given linear system with a derived one of smaller size, the aggregated system. The solution of the latter is used to accelerate the original iterative process. The construction of the aggregated system as well as the passage of information between it and the original system depends on one or more approximations of the solution of the latter. A number of variants are introduced, estimates of the acceleration are obtained, and numerical experiments are performed. The theory and computations show the methods to be effective. © 1980.
Laxmi Parida, Pier F. Palamara, et al.
BMC Bioinformatics
Jaione Tirapu Azpiroz, Alan E. Rosenbluth, et al.
SPIE Photomask Technology + EUV Lithography 2009
Charles Micchelli
Journal of Approximation Theory
A. Grill, B.S. Meyerson, et al.
Proceedings of SPIE 1989