Author:
Rocha Ana Maria A. C.,Costa M. Fernanda P.,Fernandes Edite M. G. P.
Publisher
Springer International Publishing
Reference7 articles.
1. Bottou, L., Curtis, F.E., Nocedal, J.: Optimization methods for large-scale machine learning. Technical Report
arXiv:1606.04838v3
, Computer Sciences Department, University of Wisconsin-Madison (2018)
2. Rocha, A.M.A.C., Costa, M.F.P., Fernandes, E.M.G.P.: A stochastic coordinate descent for bound constrained global optimization. AIP Conf. Proc. 2070, 020014 (2019)
3. Kvasov, D.E., Mukhametzhanov, M.S.: Metaheuristic vs. deterministic global optimization algorithms: the univariate case. Appl. Math. Comput. 318, 245–259 (2018)
4. Nesterov, Y.: Efficiency of coordinate descent methods on huge-scale optimization problems. SIAM J. Optim. 22(2), 341–362 (2012)
5. Wright, S.J.: Coordinate descent algorithms. Math. Program. Series B 151(1), 3–34 (2015)
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