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Cited article:
Xavier Antoine , Fengji Hou , Emmanuel Lorin
ESAIM: M2AN, 52 4 (2018) 1569-1596
Published online: 2018-10-12
This article has been cited by the following article(s):
9 articles
Quasi-optimal domain decomposition method for neural network-based computation of the time-dependent Schrödinger equation
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Non-diffusive neural network method for hyperbolic conservation laws
Emmanuel Lorin and Arian Novruzi Journal of Computational Physics 513 113161 (2024) https://doi.org/10.1016/j.jcp.2024.113161
Schwarz waveform relaxation-learning for advection-diffusion-reaction equations
Emmanuel Lorin and Xu Yang Journal of Computational Physics 473 111657 (2023) https://doi.org/10.1016/j.jcp.2022.111657
A Schwarz waveform relaxation method for time-dependent space fractional Schrödinger/heat equations
Xavier Antoine and Emmanuel Lorin Applied Numerical Mathematics 182 248 (2022) https://doi.org/10.1016/j.apnum.2022.07.012
Schwarz Waveform Relaxation Physics Informed Neural Networks for Solving Advection-Diffusion-Reaction Equations
Emmanuel Lorin and Xu Yang SSRN Electronic Journal (2021) https://doi.org/10.2139/ssrn.3954914
Domain decomposition method for the N-body time-independent and time-dependent Schrödinger equations
Emmanuel Lorin Numerical Algorithms 81 (2) 655 (2019) https://doi.org/10.1007/s11075-018-0566-3
On the rate of convergence of Schwarz waveform relaxation methods for the time-dependent Schrödinger equation
X. Antoine and E. Lorin Journal of Computational and Applied Mathematics 354 15 (2019) https://doi.org/10.1016/j.cam.2018.12.006
Asymptotic Convergence Rates of Schwarz Waveform Relaxation Algorithms for Schrödinger Equations with an Arbitrary Number of Subdomains
Xavier Antoine and Emmanuel Lorin Multiscale Science and Engineering 1 (1) 34 (2019) https://doi.org/10.1007/s42493-018-00012-y
Multilevel preconditioning technique for Schwarz waveform relaxation domain decomposition method for real- and imaginary-time nonlinear Schrödinger equation
X. Antoine and E. Lorin Applied Mathematics and Computation 336 403 (2018) https://doi.org/10.1016/j.amc.2018.04.075