18-01-2018
Strong Stability Preserving General Linear Methods with Runge–Kutta Stability
Published in: Journal of Scientific Computing | Issue 2/2018
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Abstract
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starting with many random guesses. Examples of transformed SSP GLMs of order \(p = 1, 2, 3\), and 4, and stage order \(q = p\) have been determined, and suitable starting and finishing procedures have been constructed. The numerical experiments performed on a set of test problems have shown that transformed SSP GLMs constructed in this paper are more accurate than transformed SSP DIMSIMs and SSP Runge–Kutta methods of the same order.