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Main Authors: Lin, Yiwen, Liu, Liu
Format: Preprint
Published: 2024
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Online Access:https://arxiv.org/abs/2406.05489
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author Lin, Yiwen
Liu, Liu
author_facet Lin, Yiwen
Liu, Liu
contents In this paper, we study the semiclassical Schrödinger equation with random parameters and develop several robust multi-fidelity methods. We employ the time-splitting Fourier pseudospectral (TSFP) method for the high-fidelity solver, and consider different low-fidelity solvers including the meshless method like frozen Gaussian approximation (FGA) and the level set (LS) method for the semiclassical limit of the Schrödinger equation. With a careful choice of the low-fidelity model, we obtain an error estimate for the bi-fidelity method. We conduct numerous numerical experiments and validate the accuracy and efficiency of our proposed multi-fidelity methods, by comparing the performance of a class of bi-fidelity and tri-fidelity approximations.
format Preprint
id arxiv_https___arxiv_org_abs_2406_05489
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle On a class of multi-fidelity methods for the semiclassical Schrödinger equation with uncertainties
Lin, Yiwen
Liu, Liu
Numerical Analysis
35J10, 65M70
In this paper, we study the semiclassical Schrödinger equation with random parameters and develop several robust multi-fidelity methods. We employ the time-splitting Fourier pseudospectral (TSFP) method for the high-fidelity solver, and consider different low-fidelity solvers including the meshless method like frozen Gaussian approximation (FGA) and the level set (LS) method for the semiclassical limit of the Schrödinger equation. With a careful choice of the low-fidelity model, we obtain an error estimate for the bi-fidelity method. We conduct numerous numerical experiments and validate the accuracy and efficiency of our proposed multi-fidelity methods, by comparing the performance of a class of bi-fidelity and tri-fidelity approximations.
title On a class of multi-fidelity methods for the semiclassical Schrödinger equation with uncertainties
topic Numerical Analysis
35J10, 65M70
url https://arxiv.org/abs/2406.05489