Newton-Type Methods for Optimization and Variational Problems.pdf

Newton-Type Methods for Optimization and Variational Problems

Alexey F Izmailov

Date de parution

A SEMISMOOTH NEWTON METHOD FOR VARIATIONAL ... tarity problem is a somewhat di erent type of problem, see Section 3. In 10] we developed a ... 13] A. Fischer, A special Newton-type optimization method, Optimization, 24 (1992), pp. Key Words: Reformulation, variational inequality problem, complementarity ... [7] A. Fischer, A special Newton-type optimization method, Optimization, 24 (1992),.

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Newton-Type Methods for Optimization and Variational Problems.pdf

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Notes actuelles

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Sofya Voigtuh

ton methods for solving equations, variational inequalities and nonlinear ... problems. Key Words. Inexact Newton method, generalized equations, metric ... A Newton-type method for solving (1) utilizes the iteration. (2) ... nonlinear optimization. Sep 26, 2018 ... Abstract: We propose a Newton-type alternating minimization algorithm (NAMA) for solving structured nonsmooth convex optimization problems where the sum of ... algorithm (AMA), also known as the dual-proximal gradient method. ... to decomposition in convex programming and variational inequalities", ...

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Mattio Müllers

Also we consider an inexact version of the method and discuss in particular a new stopping criterion for the inner optimization problem that is eligible for ...

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Noels Schulzen

Key Words: Reformulation, variational inequality problem, complementarity ... [7] A. Fischer, A special Newton-type optimization method, Optimization, 24 (1992),.

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Jason Leghmann

Also we consider an inexact version of the method and discuss in particular a new stopping criterion for the inner optimization problem that is eligible for ...

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Jessica Kolhmann

Oct 20, 2016 ... In the paper we address the d.c. optimization problem with inequality ... Newton- Type Methods for Optimization and Variational Problems ... We study Newton-type methods for solving the optimization problem min x f(x) + r (x), ... Projected Newton methods for optimization over convex sets share many.