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On the twice differentiable cubic augmented Lagrangian

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Abstract

Rockafellar's quadratic augmented Lagrangian for inequality constrained minimization is not twice differentiable. To eliminate this drawback, several quite complicated Lagrangians have been proposed. We exhibit a simple cubic Lagrangian that is twice differentiable. It stems from the recent work of Eckstein and Teboulle on Bregmanrelated Lagrangians.

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References

  1. Rockafellar, R. T.,A Dual Approach to Solving Nonlinear Programming Problems by Unconstrained Optimization, Mathematical Programming, Vol. 5, pp. 354–373, 1973.

    Google Scholar 

  2. Rockafellar, R. T.,Augmented Lagrangians and Applications of the Proximal Point Algorithm in Convex Programming, Mathematics of Operations Research, Vol. 1, pp. 97–116, 1976.

    Google Scholar 

  3. Eckstein, J.,Nonlinear Proximal Point Algorithms Using Bregman Functions, with Applications to Convex Programming, Mathematics of Operations Research, Vol. 18, pp. 202–226, 1993.

    Google Scholar 

  4. Bertsekas, D. P.,Constrained Optimization and Lagrange Multiplier Methods, Academic Press, New York, New York, 1982.

    Google Scholar 

  5. Golshtein, E. G., andTretyakov, N. V.,Modified Lagrange Functions: Theory and Optimization Methods, Nauka, Moscow, Russia, 1989 (in Russian).

    Google Scholar 

  6. Kort, B. W., andBertsekas, D. P.,Combined Primal-Dual and Penalty Methods for Convex Programming, SIAM Journal on Control and Optimization, Vol. 14, pp. 268–294, 1976.

    Google Scholar 

  7. Mangasarian, O. L.,Unconstrained Lagrangians in Nonlinear Programming, SIAM Journal on Control, Vol. 13, pp. 772–791, 1975.

    Google Scholar 

  8. Tseng, P., andBertsekas, D. P.,On the Convergence of the Exponential Multiplier Method for Convex Programming, Mathematical Programming, Vol. 60, pp. 1–19, 1993.

    Google Scholar 

  9. Golshtein, E. G., andTretyakov, N. V.,Modified Lagrange Functions, Èkonomika i Matematićeskije Metody, Vol. 10, pp. 568–591, 1974 (in Russian).

    Google Scholar 

  10. Teboulle, M.,Entropic Proximal Mappings with Applications to Nonlinear Programming, Mathematics of Operations Research, Vol. 17, pp. 670–690, 1992.

    Google Scholar 

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Communicated by O. L. Mangasarian

This research was supported by the State Committee for Scientific Research under Grant 8S50502206.

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Kiwiel, K.C. On the twice differentiable cubic augmented Lagrangian. J Optim Theory Appl 88, 233–236 (1996). https://doi.org/10.1007/BF02192031

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  • DOI: https://doi.org/10.1007/BF02192031

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