We present a non-nested multilevel algorithm for solving the Poisson equation discretized at scattered points using polyharmonic radial basis function (PHS-RBF) interpolations. We append polynomials to the radial basis functions to achieve exponential convergence of discretization errors. The interpolations are performed over local clouds of points and the Poisson equation is collocated at each of the scattered points, resulting in a sparse set of discrete equations for the unkown variables. To solve this set of equations, we have developed a non-nested multilevel algorithm utilizing multiple independently generated coarse sets of points. The restriction and prolongation operators are also constructed with the same RBF interpolations procedure. The performance of the algorithm for Dirichlet and all-Neumann boundary conditions is evaluated in three model geometries using a manufactured solution. For Dirichlet boundary conditions, rapid convergence is observed using SOR point solver as the relaxation scheme. For cases of all-Neumann boundary conditions, convergence is seen to slow down with the degree of the appended polynomial. However, when the multilevel procedure is combined with a GMRES algorithm, the convergence is seen to significantly improve. The GMRES accelerated multilevel algorithm is included in a fractional step method to solve incompressible Navier-Stokes equations.
翻译:我们提出一个非自发的多层次算法,用于在分散点使用多声道辐射基函数(PHS-RBF)的分解法解析Poisson方程式。我们将多声道基函数(PHS-RBF-RBF)的分解法分解。我们在分解错误的基函数中加入多声道,以实现分解错误的指数趋同。对局部点云层进行内演化,Poisson方程式在每个分散点合用,导致对低声点变量采用一套分散的离散方程式。为了解决这组方程式,我们开发了一套非自发多声多声道的多声道算法。限制和延长操作员的操作员也是用同样的 RBFS 互换程序来构建的。Drichlet 和所有Neumann边界条件的算法的性能通过三个模型来评估。对于Drichlet的边界条件,观察到使用SOR点解解算法作为放松计划。对于所有Nemann边界条件的情况,我们发现,趋同附的多声道调调调调调调。但是,当多声调调调调制的算法是将GMIS的阶平方程式与GMIS的加速法与GDRBIS的分制为加。