William Hinsberg, Joy Cheng, et al.
SPIE Advanced Lithography 2010
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.
William Hinsberg, Joy Cheng, et al.
SPIE Advanced Lithography 2010
Sonia Cafieri, Jon Lee, et al.
Journal of Global Optimization
Shashanka Ubaru, Lior Horesh, et al.
Journal of Biomedical Informatics
Kafai Lai, Alan E. Rosenbluth, et al.
SPIE Advanced Lithography 2007