Author:
Benson Hande Y.,Shanno David F.
Publisher
Springer Science and Business Media LLC
Subject
Software,Theoretical Computer Science
Reference55 articles.
1. Anandkumar, A., Ge, R.: Efficient approaches for escaping higher order saddle points in non-convex optimization. (2016). arXiv preprint arXiv:1602.05908
2. Bellavia, S., Morini, B.: Strong local convergence properties of adaptive regularized methods for nonlinear least squares. IMA J. Numer. Anal. 35, dru021 (2014)
3. Benson, H.Y., Shanno, D.F.: Interior-point methods for nonconvex nonlinear programming: cubic regularization. Comput. Optim. Appl. 58, 323 (2014)
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. Bianconcini, T., Sciandrone, M.: A cubic regularization algorithm for unconstrained optimization using line search and nonmonotone techniques. Optim. Methods Softw. 1–28 (2016)
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