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An extrapolation cascadic multigrid method combined with a fourth order compact scheme for 3D poisson equation

机译:外推级联多重网格方法结合四阶   三维泊松方程的紧致格式

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摘要

In this paper, we develop an EXCMG method to solve the three-dimensionalPoisson equation on rectangular domains by using the compact finite difference(FD) method with unequal meshsizes in different coordinate directions. Theresulting linear system from compact FD discretization is solved by theconjugate gradient (CG) method with a relative residual stopping criterion. Bycombining the Richardson extrapolation and tri-quartic Lagrange interpolationfor the numerical solutions from two-level of grids (current and previousgrids), we are able to produce an extremely accurate approximation of theactual numerical solution on the next finer grid, which can greatly reduce thenumber of relaxation sweeps needed. Additionally, a simple method based on themidpoint extrapolation formula is used for the fourth-order FD solutions ontwo-level of grids to achieve sixth-order accuracy on the entire fine gridcheaply and directly. The gradient of the numerical solution can also be easilyobtained through solving a series of tridiagonal linear systems resulting fromthe fourth-order compact FD discretizations. Numerical results show that ourEXCMG method is much more efficient than the classical V-cycle and W-cyclemultigrid methods. Moreover, only few CG iterations are required on the finestgrid to achieve full fourth-order accuracy in both the $L^2$-norm and$L^{\infty}$-norm for the solution and its gradient when the exact solutionbelongs to $C^6$. Finally, numerical result shows that our EXCMG method isstill effective when the exact solution has a lower regularity, which widensthe scope of applicability of our EXCMG method.
机译:在本文中,我们开发了一种EXCMG方法,通过使用在不同坐标方向上具有不等网格尺寸的紧凑有限差分(FD)方法来求解矩形域上的三维Poisson方程。利用共轭梯度法(CG),采用相对剩余的停止准则,解决了紧凑型FD离散化产生的线性系统问题。通过将Richardson外推法和三元Lagrange插值法用于两层网格(当前网格和先前网格)的数值解,我们能够在下一个更精细的网格上生成非常精确的实际数值解的近似值,这可以大大减少需要放松打扫。此外,基于中间点外推公式的简单方法被用于两级网格上的四阶FD解,从而稳定,直接地在整个精细网格上实现了六阶精度。数值解的梯度也可以通过求解由四阶紧凑FD离散化产生的一系列三对角线性系统而轻松获得。数值结果表明,我们的EXCMG方法比经典的V循环和W循环多重网格方法效率更高。此外,在精细网格上只需很少的CG迭代就可以在解的$ L ^ 2 $范数和$ L ^ {\ infty} $范数中获得完全的四阶精度,而当精确解属于$ C ^ 6 $。最后,数值结果表明,当精确解的规则性较低时,我们的EXCMG方法仍然有效,拓宽了我们的EXCMG方法的适用范围。

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