Projective Approximation Based Quasi-Newton Methods

Author:

Senov Alexander

Publisher

Springer International Publishing

Reference18 articles.

1. Box, G.E., Draper, N.R., et al.: Empirical Model-Building and Response Surfaces. Wiley, New York (1987)

2. Boyd, S.: Global optimization in control system analysis and design. In: Control and Dynamic Systems V53: High Performance Systems Techniques and Applications: Advances in Theory and Applications, vol. 53, p. 1 (2012)

3. Boyd, S., Vandenberghe, L.: Convex Optimization. Cambridge University Press, Cambridge (2004)

4. Broyden, C.G.: The convergence of a class of double-rank minimization algorithms 1. General considerations. IMA J. Appl. Math. 6(1), 76–90 (1970)

5. Conn, A.R., Gould, N.I., Toint, P.L.: Convergence of quasi-Newton matrices generated by the symmetric rank one update. Math. Program. 50(1–3), 177–195 (1991)

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