Parallel iteration of symmetric Runge-Kutta methods for nonstiff initial value problems
Nguyễn Hữu Công · Data Archiving and Networked Services (DANS) · 1993
Abstract This paper discusses parallel iteration schemes for collocation-based, symmetric Runge—Kutta (SRK) methods for solving nonstiff initial-value problems. Our main result is the derivation of four A-stable SRK corrector methods of orders 4, 6, 8 and 10 that optimize the rate of convergence when iterated by means of the highly parallel fixed-point iteration process. The resulting PISRK method (parallel iterated SRK method) shows considerably increased efficiency when compared with the fixed-point iteration process applied to Gauss—Legendre correctors.