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Perturbation Lemma for the Newton Method with Application to the SQP Newton Method

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Abstract

We study the convergence of a general perturbation of the Newton method for solving a nonlinear system of equations. As an application, we show that the augmented Lagrangian successive quadratic programming is locally and q-quadratically convergent in the variable x to the solution of an equality constrained optimization problem, under a mild condition on the penalty parameter and the choice of the Lagrange multipliers.

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References

  1. Dennis, J. E., and Schnabel, R. B., Numerical Methods for Unconstrained Optimization and Nonlinear Equations, Prentice-Hall, Englewood Cliffs, New Jersey, 1983.

    Google Scholar 

  2. Ortega, J. M., and Rheinboldt, W. C., Iterative Solution of Nonlinear Equations in Several Variables, Academic Press, New York, New York, 1970.

    Google Scholar 

  3. Stewart, G. W., Introduction to Matrix Computations, Academic Press, London, England, 1973.

    Google Scholar 

  4. Bertsekas, D. P., Constrained Optimization and Lagrange Multiplier Methods, Academic Press, New York, New York, 1976.

    Google Scholar 

  5. Fletcher, R., Practical Methods of Optimization, John Wiley and Sons, New York, New York, 1987.

    Google Scholar 

  6. Boggs, P. T., Tolle, J. W., and Wang, P., On the Local Convergence of Quasi-Newton Methods for Constrained Optimization, SIAM Journal on Control and Optimization, Vol. 20, pp. 161–171, 1982.

    Google Scholar 

  7. Haarhoff, P. C., and Buys, J. D., A New Method for the Optimization of a Nonlinear Function Subject to Nonlinear Constraints, Computing Journal, Vol. 13, pp. 178–184, 1970.

    Google Scholar 

  8. Miele, A., Cragg, E. E., and Levy, A. V., On the Method of Multipliers for Mathematical Programming Problems, Part 2, Journal of Optimization Theory and Applications, Vol. 10, pp. 1–33, 1972.

    Google Scholar 

  9. Tapia, R. A., An Introduction to the Algorithm and Theory of Constrained Optimization, Technical Report CRPC-TR90036, Computational and Applied Mathematics Department, Rice University, Houston, Texas, 1970.

    Google Scholar 

  10. Tapia, R. A., Newton's Method for Optimization Problems with Equality Constraints, SIAM Journal on Numerical Analysis, Vol. 11, pp. 874–886, 1974.

    Google Scholar 

  11. Tapia, R. A., Newton's Method for Problems with Equality Constraints, SIAM Journal on Numerical Analysis, Vol. 11, pp. 174–196, 1974.

    Google Scholar 

  12. 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.

    Google Scholar 

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Cores, D., Tapia, R.A. Perturbation Lemma for the Newton Method with Application to the SQP Newton Method. Journal of Optimization Theory and Applications 97, 271–280 (1998). https://doi.org/10.1023/A:1022622532499

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  • DOI: https://doi.org/10.1023/A:1022622532499

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