Optimal Prediction of Stiff Oscillatory Mechanics
Anton Kast

TL;DR
This paper introduces the use of optimal prediction methods to efficiently solve complex many-body classical mechanics problems with multiple time scales, significantly reducing computational effort.
Contribution
It presents a novel application of optimal prediction to classical mechanics, enabling faster and more efficient simulations of oscillatory systems with multiple time scales.
Findings
Optimal prediction reduces computational cost by several orders of magnitude.
The method effectively simplifies complex many-body problems.
Demonstrated success on example systems.
Abstract
We consider many-body problems in classical mechanics where a wide range of time scales limits what can be computed. We apply the method of optimal prediction to obtain equations which are easier to solve numerically. We demonstrate by examples that optimal prediction can reduce the amount of computation needed to obtain a solution by several orders of magnitude.
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