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首页> 外文期刊>SIAM Journal on Scientific Computing >NESTED ITERATION AND FIRST-ORDER SYSTEMS LEAST SQUARES FOR A TWO-FLUID ELECTROMAGNETIC DARWIN MODEL
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NESTED ITERATION AND FIRST-ORDER SYSTEMS LEAST SQUARES FOR A TWO-FLUID ELECTROMAGNETIC DARWIN MODEL

机译:两流体电磁达尔文模型的嵌套迭代和一阶系统最小二乘

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摘要

In this paper, a two-fluid plasma (TFP) model is presented. The model couples the conservation of momentum and conservation of number density of both ions and electrons to Maxwell's equations. A Darwin approximation of Maxwell is used to eliminate spurious light waves from the model. After scaling and modification, the TFP-Darwin model yields a nonlinear, first-order system of equations whose Frechet derivative is shown to be uniformly H-1-elliptic in a neighborhood of the exact solution. This system is addressed numerically by nested iteration (NI) and a first-order system least squares discretization. An important goal of NI is to produce an approximation that is within the basin of attraction for Newton's method on a relatively coarse mesh and, thus, on all subsequent meshes. H-1 ellipticity yields optimal finite element performance and linear systems amenable to solution with algebraic multigrid. Numerical tests demonstrate the efficacy of this approach, yielding an approximate solution within discretization error in a relatively small number of computational work units.
机译:本文提出了一种双流体等离子体(TFP)模型。该模型将动量守恒和离子和电子的数密度守恒耦合到麦克斯韦方程。麦克斯韦(Maxwell)的达尔文(Darwin)近似用于消除模型中的杂散光波。经过缩放和修改后,TFP-Darwin模型产生了非线性的一阶方程组,其Frechet导数在精确解的附近显示为均匀H-1椭圆。该系统通过嵌套迭代(NI)和一阶系统最小二乘离散化得到数值解决。 NI的一个重要目标是在相对较粗的网格上并因此在所有后续网格上产生牛顿方法吸引范围内的近似值。 H-1椭圆率可产生最佳的有限元性能和线性系统,适合代数多重网格求解。数值测试证明了这种方法的有效性,可以在相对较少的计算工作单元内得出离散化误差内的近似解。

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