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pro vyhledávání: '"de Oliveira, Welington"'
Autor:
de Oliveira, Welington
Publikováno v:
Open Journal of Mathematical Optimization, Vol 4, Iss , Pp 1-10 (2023)
Frank and Wolfe’s celebrated conditional gradient method is a well-known tool for solving smooth optimization problems for which minimizing a linear function over the feasible set is computationally cheap. However, when the objective function is no
Externí odkaz:
https://doaj.org/article/7ec464c636914666bfbf39b3fc330ce3
This work proposes an implementable proximal-type method for a broad class of optimization problems involving nonsmooth and nonconvex objective and constraint functions. In contrast to existing methods that rely on an ad hoc model approximating the n
Externí odkaz:
http://arxiv.org/abs/2407.07471
This paper addresses the numerical computation of critical angles between two convex cones in finite-dimensional Euclidean spaces. We present a novel approach to computing these critical angles by reducing the problem to finding stationary points of
Externí odkaz:
http://arxiv.org/abs/2310.00081
Reliability-based optimization (RBO) is crucial for identifying optimal risk-informed decisions for designing and operating engineering systems. However, its computation remains challenging as it requires a concurrent task of optimization and reliabi
Externí odkaz:
http://arxiv.org/abs/2209.02573
Autor:
Syrtseva, Ksenia, de Oliveira, Welington, Demassey, Sophie, Morais, Hugo, Javal, Paul, Swaminathan, Bhargav
Publikováno v:
In Sustainable Energy, Grids and Networks December 2023 36
Publikováno v:
In Reliability Engineering and System Safety August 2023 236
Publikováno v:
In European Journal of Operational Research 1 April 2022 298(1):59-75
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This work focuses on convergence analysis of the projected gradient method for solving constrained convex minimization problem in Hilbert spaces. We show that the sequence of points generated by the method employing the Armijo linesearch converges we
Externí odkaz:
http://arxiv.org/abs/1402.5884
Publikováno v:
In EURO Journal on Computational Optimization March 2017 5(1-2):5-29