Fast prediction of plasma instabilities with sparse-grid-accelerated optimized dynamic mode decomposition
This paper demonstrates that combining sparse grid interpolation with (L)-Leja points and optimized dynamic mode decomposition enables the construction of highly efficient, predictive parametric reduced-order models for complex plasma instabilities, achieving evaluation speeds up to three orders of magnitude faster than high-fidelity simulations while requiring only a minimal number of training data points.