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A Further Study on a Penalty Function of Bertsekas

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Advances in Nonlinear Programming

Part of the book series: Applied Optimization ((APOP,volume 14))

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Abstract

We give a penalty function method based on an approximating function P c (x,y) of Bertsekas for solving inequality constrained programming. It is proved that the objective function in this method has the same minimizer as the original problem when parameterc is sufficiently large and the minimizer can be obtained by solving a nonlinear system of equations.

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References

  1. D. P. Bertsekas,Approximation procedures based on the method of multipliers, JOTA,23: 4 (1977), 487–510.

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

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  3. J. E. Dennis, Jr. and R. B. Schnabel,Numerical Methods for Unconstrained Optimization and Nonlinear Equations, Prentice-Hall, Inc., En- glewood Cliffs, New Jersey, 1984.

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  4. Y. G. Evtushenko,Numerical Optimization Techniques, Optimization Software, Inc. Publications, New York, 1985.

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  5. G. Kreisselmeier and R. Steinhauser,Systematic control design by optimizing a vector performance index, Proceedings of IFAC Symposium on Computer Aided Design, Zurich, 1979.

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  6. X. S. Li,An aggragate function method for nonlinear programming, Science in China (Series A), 34: 12 (1991), 1467–1473

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  7. A. B. Templeman and X. S. Li, Amaximum entropy approach to constrained nonlinear programming, Eng. Optim. 12 (1987), 191–205.

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© 1998 Kluwer Academic Publishers

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Zhang, L., Tang, H. (1998). A Further Study on a Penalty Function of Bertsekas. In: Yuan, Yx. (eds) Advances in Nonlinear Programming. Applied Optimization, vol 14. Springer, Boston, MA. https://doi.org/10.1007/978-1-4613-3335-7_18

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  • DOI: https://doi.org/10.1007/978-1-4613-3335-7_18

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4613-3337-1

  • Online ISBN: 978-1-4613-3335-7

  • eBook Packages: Springer Book Archive

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