Parametric Proximal-Point Methods

Author:

Pavel N.,Raykov I.

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Management Science and Operations Research,Control and Optimization

Reference37 articles.

1. Ivanov, R., Raykov, I.: A parametric Newton method for optimization problems in Hilbert spaces. Numer. Funct. Anal. Optim. 24, 243–255 (2003)

2. Ivanov, R.P., Raykov, I.L.: Parametric Lyapunov function method for solving nonlinear systems in Hilbert spaces. Numer. Funct. Anal. Optim. 17, 893–901 (1996)

3. Raykov, I.: Parameterized Newton method for optimization problems. In: Guddat, J., Jongen, H. Th., Ruckmann, J.-J., Todorov, M. (eds.) Parametric Optimization and Related Topics VII, pp. 187–205 (2004)

4. Pavel, N., Raykov, I.: Applications of parametric proximal-point algorithms. In: Momcheva, G., Madjarova, S. Slavov, Z. (eds.) Proceedings of the Conference of the Union of Bulgarian Mathematicians, December 2007, Varna. Mathematics and Computer Sciences—Reality and Perspectives, pp. 36–50 (2007). ISBN: 978-964-715-376-9

5. De Marchi, S., Raykov, I.: Parametric method for global optimization. J. Optim. Theory Appl. 130(3), 411–430 (2006)

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