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Implicit finite-difference schemes, based on the Rosenbrock method, for nonlinear Schrödinger equation with artificial boundary conditions

机译:基于Rosenbrock方法的含人工边界条件的非线性Schrödinger方程的隐式有限差分格式

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摘要

We investigate the effectiveness of using the Rosenbrock method for numerical solution of 1D nonlinear Schrödinger equation (or the set of equations) with artificial boundary conditions (ABCs). We compare the computer simulation results obtained during long time interval at using the finite-difference scheme based on the Rosenbrock method and at using the conservative finite-difference scheme. We show, that the finite-difference scheme based on the Rosenbrock method is conditionally conservative one. To combine the advantages of both numerical methods, we propose new implicit and conditionally conservative combined method based on using both the conservative finite-difference scheme and conditionally conservative Rosenbrock method and investigate its effectiveness. The combined method allows decreasing the computer simulation time in comparison with the corresponding computer simulation time at using the Rosenbrock method. In practice, the combined method is effective at computation during short time interval, which does not require an asymptotic stability property for the finite-difference scheme. We generalize also the combined method with ABCs for 2D case.
机译:我们研究使用Rosenbrock方法求解具有人工边界条件(ABC)的一维非线性Schrödinger方程(或方程组)的数值解的有效性。我们比较了在长时间间隔下使用基于Rosenbrock方法的有限差分方案和使用保守的有限差分方案获得的计算机仿真结果。我们证明,基于Rosenbrock方法的有限差分方案是有条件的保守方案。为了结合两种数值方法的优点,我们在使用保守有限差分方案和有条件保守Rosenbrock方法的基础上,提出了一种新的隐式和有条件保守组合方法,并研究了其有效性。与使用Rosenbrock方法时的相应计算机仿真时间相比,组合方法可以减少计算机仿真时间。实际上,组合方法在短时间间隔内的计算上是有效的,对于有限差分方案,它不需要渐近稳定性。我们还针对2D情况推广了与ABCs相结合的方法。

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