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首页> 外文期刊>Journal of marine science and technology >CONSTRAINT-TYPE FICTITIOUS TIME INTEGRATION METHOD FOR SOLVING NON-LINEAR MULTI-DIMENSIONAL ELLIPTIC PARTIAL DIFFERENTIAL EQUATIONS
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CONSTRAINT-TYPE FICTITIOUS TIME INTEGRATION METHOD FOR SOLVING NON-LINEAR MULTI-DIMENSIONAL ELLIPTIC PARTIAL DIFFERENTIAL EQUATIONS

机译:求解非线性多维椭圆局部微分方程的约束型虚拟时间集成方法

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摘要

In this paper, we propose a constraint-type fictitious time integration method (FTIM) for solving multi-dimensional non-linear elliptic-type partial differential equations. Based on the variable transformation of FTIM, the original governing equation is transformed into a new parabolic equation of an evolution type by introducing a space-time variable, and a new time integration direction is obtained. However, the space-time variable depends on the governing equation, boundary condition and fictitious time variable, especially due to the nonlinear effect. Previous studies have not discussed the definition of these nonlinear parameter problems, which may result in severe numerical instability and inaccuracy. To completely overcome this nonlinear parameter problem, a space-time variable with a minimum fictitious time size is introduced into the algorithm. By imposing a constraint condition that involves the system energy in the space domain and the minimum fictitious time step, the proposed scheme can absolutely satisfy the stringent convergence criterion and can quickly approach the true solution, even under a very small time step. More importantly, the convergence speed depends only on a space-time variable. The accuracy and efficiency of the scheme are evaluated by comparing the estimation results with those of previous studies. The obtained results demonstrate that the proposed method efficiently finds the true solution and can significantly improve both the accuracy and convergence.
机译:在本文中,我们提出了一种用于求解多维非线性椭圆型部分微分方程的约束型虚拟时间集成方法(FTIM)。基于FTIM的可变变换,通过引入空时变量,将原始控制方程转换为进化类型的新抛物线方程,并且获得了新的时间集成方向。然而,时空变量取决于控制方程,边界条件和虚拟时间变量,尤其是由于非线性效应。以前的研究尚未讨论这些非线性参数问题的定义,这可能导致严重的数值不稳定性和不准确性。为了完全克服该非线性参数问题,将具有最小虚拟时间大小的空中时变量引入算法中。通过施加涉及空间域中的系统能量的约束条件和最小虚拟时间步骤,所提出的方案可以绝对满足严格的收敛标准,并且即使在非常小的时间步骤下也可以快速接近真正的解决方案。更重要的是,收敛速度仅取决于时空变量。通过将估计结果与先前研究的研究结果进行比较来评估方案的准确性和效率。所获得的结果表明,所提出的方法有效地找到了真实的解决方案,可以显着提高准确性和收敛性。

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