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Set-valued approximations and Newton's methods

机译:集值近似和牛顿法

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We introduce a point-based set-valued approximation for a mapping from R-n to R-m. Under the assumption of semi-smoothness of the mapping, we prove that the approximation can be obtained through the Clarke generalized Jacobian, Ioffe-Ralph generalized Jacobian, B-subdifferential and their approximations. As an application, we propose a generalized Newton's method based on the point-based set-valued approximation for solving nonsmooth equations. We show that the proposed method converges locally superlinearly without the assumption of semi-smoothness. Finally we include some well-known generalized Newton's methods in our method and consolidate the convergence results of these methods. [References: 38]
机译:我们为从R-n到R-m的映射引入了基于点的集值近似。在映射为半光滑的假设下,我们证明可以通过Clarke广义Jacobian,Ioffe-Ralph广义Jacobian,B次微分及其近似来获得近似。作为一种应用,我们提出了一种基于牛顿的广义牛顿法,用于求解非光滑方程组。我们表明,所提出的方法在没有半光滑假设的情况下局部超线性收敛。最后,在我们的方法中包括一些众所周知的广义牛顿法,并巩固了这些方法的收敛结果。 [参考:38]

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