Abstract
In this work, we study a differentiable exact penalty function for solving twice continuously differentiable inequality constrained optimization problems. Under certain assumptions on the parameters of the penalty function, we show the equivalence of the stationary points of this function and the Kuhn-Tucker points of the restricted problem as well as their extreme points. Numerical experiments are presented that corroborate the theory, and a rule is given for choosing the parameters of the penalty function.
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Bertsekas, D. P.,Enlarging the Region of Convergence of Newton's Method for Constrained Optimization, Journal of Optimization Theory and Applications, Vol. 36, pp. 221–251, 1982.
DiPillo, G., andGrippo, L.,A New Class of Augmented Lagrangians in Nonlinear Programming, SIAM Journal on Control and Optimization, Vol. 17, pp. 618–628, 1979.
DiPillo, G., andGrippo, L.,A New Augmented Lagrangian Function for Inequality Constraints in Nonlinear Programming Problems, Journal of Optimization Theory and Applications, Vol. 36, pp. 495–519, 1982.
Boggs, P. T., andTolle, J. W.,Augmented Lagrangians Which Are Quadratic in the Multipliers, Journal of Optimization Theory and Applications, Vol. 31, pp. 17–26, 1980.
Bartholomew-Biggs, M. C.,The Recursive Quadratic Programming Approach to Constrained Optimization, Paper Presented at the 2nd IFAC Workshop on Control Applications of Nonlinear Programming and Optimization, Oberpfaffenhofen, Germany, 1980.
Tapia, R. A.,Diagonalized Multiplier Methods and Quasi-Newton Methods for Constrained Optimization, Journal of Optimization Theory and Applications, Vol. 22, pp. 135–194, 1977.
Vinante, C. D., andPintos, S.,On Exact Differentiable Penalty Functions, Facultad de Ingenieria, Zulia University, Maracaibo, Venezuela, Report No. 12-83, 1983.
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Communicated by R. A. Tapia
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Vinante, C., Pintos, S. On differentiable exact penalty functions. J Optim Theory Appl 50, 479–493 (1986). https://doi.org/10.1007/BF00938633
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DOI: https://doi.org/10.1007/BF00938633