Some numerical experience with a globally convergent algorithm for nonlinearly constrained optimization-Reference-Cited by-同舟云学术

Some numerical experience with a globally convergent algorithm for nonlinearly constrained optimization

Published:1980-09 Issue:1 Volume:32 Page:1-16
ISSN:0022-3239
Container-title:Journal of Optimization Theory and Applications
language:en
Short-container-title:J Optim Theory Appl

Author:

Coope I. D.,Fletcher R.

Publisher

Springer Science and Business Media LLC

Subject

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

Link

http://link.springer.com/content/pdf/10.1007/BF00934840.pdf

Reference19 articles.

1. Hestenes, M. R.,Multiplier and Gradient Methods, Journal of Optimization Theory and Applications, Vol. 4, pp. 303?320, 1969.

2. Powell, M. J. D.,A Method for Nonlinear Constraints in Minimization Problems, Optimization, Edited by R. Fletcher, Academic Press, London, England, 1969.

3. Fletcher, R.,An Ideal Penalty Function for Constrained Optimization, Journal of Institute of Mathematics and Applications, Vol. 15, pp. 319?340, 1975.

4. Biggs, M. C.,Constrained Minimization Using Recursive Quadratic Programming: Some Alternative Subproblem Formulations, Toward Global Optimization, Edited by L. C. W. Dixon and G. P. Szegö, North-Holland Publishing Company, Amsterdam, Holland, 1975.

5. Han, S. P.,A Globally Convergent Method for Nonlinear Programming, Journal of Optimization Theory and Applications, Vol. 22, pp. 297?309, 1977.

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