A self-adaptive algorithm of the clean numerical simulation (CNS) for chaos
Published in Advances in Applied Mathematics and Mechanics, 2023
This work introduces a novel, self-adaptive algorithm for Clean Numerical Simulation (CNS). By dynamically adjusting time-step sizes and multiple-precision floating-point formats during computation, the algorithm provides a much more efficient strategy for achieving convergent benchmark solutions of chaotic systems over long periods.
Recommended citation: Qin, S. & Liao, S. (2023). "A self-adaptive algorithm of the clean numerical simulation (CNS) for chaos." arXiv preprint arXiv:2302.01284.
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