Variational quasi-Newton methods for unconstrained optimization

Author:

Al-Baali M.

Publisher

Springer Science and Business Media LLC

Subject

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

Reference12 articles.

1. Fletcher, R.,Practical Methods of Optimization, 2nd Edition, Wiley, Chichester, England, 1987.

2. Al-Baali, M., andFletcher, R.,Variational Methods for Nonlinear Least Squares, Journal of the Operational Research Society, Vol. 36, pp. 405?421, 1985.

3. Powell, M. J. D.,How Bad Are the BFGS and DFP Methods When the Objective Function is Quadratic?, Mathematical Programming, Vol. 34, pp. 34?47, 1986.

4. Davidon, W. C.,Optimal Conditioned Optimization Algorithms without Line Searches, Mathematical Programming, Vol. 9, pp. 1?30, 1975.

5. Conn, A. R., Gould, N. I. M., andToint, Ph. L.,Convergence of Quasi-Newton Matrices Generated by the Symmetric Rank-One Update, Research Report CS-87-41, University of Waterloo, 1987.

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