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Improving the convergence of combined Newton-Raphson and Gauss-Newton multilevel iteration method

机译:改进组合的牛顿-拉夫森和高斯-牛顿多级迭代方法的收敛性

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During the last years, multilevel methods have been applied in parallel circuit simulation. However, aiding the convergence of multilevel methods has gained only a little notice. This paper presents a combined Newton-Raphson and Gauss-Newton (NRGN) multilevel method for parallel circuit simulation in a networked environment. The NRGN method is formulated such that convergence aiding methods can be effectively applied. The example simulations show that, especially with step-size adjusting methods, the NRGN method improves the convergence and thus the speed of parallel circuit simulation.
机译:在过去几年中,多级方法已应用于并联电路仿真。然而,帮助多级方法的收敛只获得了一点通知。本文介绍了一个组合的Newton-Raphson和Gauss-Newton(NRGN)多级方法,用于网络环境中的并行电路模拟。配方地配制NRGN方法,使得可以有效地应用收敛辅助方法。示例性模拟表明,特别是具有梯度调整方法,NRGN方法改善了并行电路模拟的速度。

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