Abstract
We compare exponential-type integrators for the numerical time-propagation of the equations of motion arising in the multi-configuration time-dependent Hartree-Fock method for the approximation of the high-dimensional multi-particle Schrödinger equation. We find that among the most widely used integrators like Runge-Kutta, exponential splitting, exponential Runge-Kutta, exponential multistep and Lawson methods, exponential Lawson multistep methods with one predictor/corrector step provide optimal stability and accuracy at the least computational cost, taking into account that the evaluation of the nonlocal potential terms is by far the computationally most expensive part of such a calculation. Moreover, the predictor step provides an estimator for the time-stepping error at no additional cost, which enables adaptive time-stepping to reliably control the accuracy of a computation.
Supported by the Vienna Science and Technology Fund (WWTF) grant MA14-002. The computations have been conducted on the Vienna Scientific Cluster (VSC).
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- 1.
Note that in exponential integrators, the explicit time-dependence in the potential does not call for a special treatment in the numerical quadrature, in the splitting methods, the potential is propagated by an explicit Runge-Kutta method of appropriate order.
- 2.
In this experiment, all multistep methods are started by the Krogstad exponential Runge-Kutta method with stepsize h/50.
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Auzinger, W., Grosz, A., Hofstätter, H., Koch, O. (2020). Adaptive Exponential Integrators for MCTDHF. In: Lirkov, I., Margenov, S. (eds) Large-Scale Scientific Computing. LSSC 2019. Lecture Notes in Computer Science(), vol 11958. Springer, Cham. https://doi.org/10.1007/978-3-030-41032-2_64
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