On global minimizers of quadratic functions with cubic regularization
Author:
Publisher
Springer Science and Business Media LLC
Subject
Control and Optimization
Link
http://link.springer.com/content/pdf/10.1007/s11590-018-1316-0.pdf
Reference19 articles.
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2. Benson, H.Y., Shanno, D.F.: Interior-point methods for nonconvex nonlinear programming: cubic regularization. Comput. Optim. Appl. 58(2), 323–346 (2014)
3. Bianconcini, T., Sciandrone, M.: A cubic regularization algorithm for unconstrained optimization using line search and nonmonotone techniques. Optim. Methods Softw. 31(5), 1008–1035 (2016)
4. Bianconcini, T., Liuzzi, G., Morini, B., Sciandrone, M.: On the use of iterative methods in cubic regularization for unconstrained optimization. Comput. Optim. Appl. 60(1), 35–57 (2015)
5. Birgin, E.G., Gardenghi, J.L., Martínez, J.M., Santos, S.A., Toint, P.L.: Worst-case evaluation complexity for unconstrained nonlinear optimization using high-order regularized models. Math. Program. 163(1–2), 359–368 (2017)
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