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Convergence of Asynchronous Jacobi-Newton-iterations

机译:异步Jacobi-Newton迭代的收敛

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摘要

Asynchronous iterations often converge under different conditions than their synchronous counterparts. In this paper we will study the global convergence of Jacobi-Newton-like methods for nonlinear equations Fx=0. It is a known fact, that the synchronous algorithm converges monotonically, if F is a convex M-function and the starting values x~0 and y~0 meet the condition Fx~0<=0<=Fy~0. In the paper it will be shown, which modifications are necessary to guarantee a similar convergence behavior for an asynchronous computation.
机译:异步迭代通常在与同步迭代不同的条件下收敛。在本文中,我们将研究非线性方程Fx = 0的类Jacobi-Newton方法的全局收敛性。众所周知的事实是,如果F是凸M函数并且起始值x〜0和y〜0满足条件Fx〜0 <= 0 <= Fy〜0,则同步算法是单调收敛的。在本文中将显示,必须进行哪些修改才能保证异步计算具有类似的收敛行为。

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