A proximal-Newton method for unconstrained convex optimization in Hilbert spaces
Author:
Affiliation:
1. Departamento de Matemática, Universidade Federal de Santa Catarina, Florianópolis, Brazil.
2. IMPA, Rio de Janeiro, Brazil.
Funder
Conselho Nacional de Desenvolvimento Científico e Tecnológico
Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro
CNPq
FAPERJ
Publisher
Informa UK Limited
Subject
Applied Mathematics,Management Science and Operations Research,Control and Optimization
Link
https://www.tandfonline.com/doi/pdf/10.1080/02331934.2017.1389942
Reference11 articles.
1. Numerical Methods for Unconstrained Optimization and Nonlinear Equations
2. Cubic regularization of Newton method and its global performance
3. Monotone Operators and the Proximal Point Algorithm
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