Modified Lagrangian and Least Root Approaches for General Nonlinear Optimization Problems
Author:
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics
Link
http://link.springer.com/content/pdf/10.1007/s102550200012.pdf
Reference8 articles.
1. Goh, C.J., Yang, X.Q. A Sufficient and Necessary Condition for Nonconvex Constrained Optimization. Applied Mathematics Letters, 1997, 10(5): 9–12
2. Goh, C.J., Yang, X.Q. A Nonlinear Lagrangian Theory for Nonconvex Optimization Problems. Journal of Optimization Theory and Applications, 2001, 109(1): 99–121
3. Oettli, W., Schläger, D., Théra, M. Augmented Lagrangians for General Side Constraints. Optimization, 1998, 329–338, Lecture Notes in Econom. and Math. Systems, 481, Springer-Verlag, Berlin, 2000
4. Rockafellar, R.T. Augmented Lagrangian Multiplier Functions and Duality in Nonconvex Programming. SIAM Journal on Control, 1974, 12: 268–285
5. Rockafellar, R.T., Wets, R.J.B. Variational Analysis. Springer-Verlag, Berlin, Heidelberg, New York, 1998
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1. Duality and Exact Penalization for General Augmented Lagrangians;Journal of Optimization Theory and Applications;2010-05-11
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