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A Newton iteration for differentiable set-valued maps

机译:可微集值映射的牛顿迭代

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We employ recent developments of generalized differentiation concepts for set-valued mappings and present a Newton-like iteration for solving generalized equations of the form f(x) + F(x) ? 0 where f is a single-valued function while F stands for a set-valued map, both of them being smooth mappings acting between two general Banach spaces. X and Y. The Newton iteration we propose is constructed on the basis of a linearization of both f and F; we prove that, under suitable assumptions on the "derivatives" of f and F, it converges Q-linearly to a solution to the generalized equation in question. When we strengthen our assumptions, we obtain the Q-quadratic convergence of the method.
机译:我们采用了集值映射的广义微分概念的最新发展,并提出了类似牛顿的迭代形式来求解形式为f(x)+ F(x)的广义方程。 0,其中f是单值函数,而F表示集值映射,它们都是在两个常规Banach空间之间起作用的平滑映射。 X和Y。我们建议的牛顿迭代是基于f和F的线性化而构建的;我们证明,在对f和F的“导数”进行适当假设的情况下,它可以将Q线性地收敛到所讨论的广义方程的解。当我们加强假设时,我们获得了该方法的Q二次收敛性。

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