Adaptive cubic regularisation methods for unconstrained optimization. Part II: worst-case function- and derivative-evaluation complexity
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Mathematics,Software
Link
http://link.springer.com/content/pdf/10.1007/s10107-009-0337-y.pdf
Reference13 articles.
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2. Conn A.R., Gould N.I.M., Toint Ph.L.: Trust-Region Methods. SIAM, Philadelphia (2000)
3. Dennis J.E., Moré J.J.: A characterization of superlinear convergence and its application to quasi-Newton methods. Math. Comput. 28(126), 549–560 (1974)
4. Dennis, J.E., Schnabel, R.B.: Numerical Methods for Unconstrained Optimization and Nonlinear Equations. Prentice-Hall, Englewood Cliffs, New Jersey, USA (1983). Reprinted as Classics in Applied Mathematics 16, SIAM, Philadelphia, USA (1996)
5. Golub G.H., Van Loan C.F.: Matrix Computations. The John Hopkins University Press, Baltimore (1996)
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