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Modifications of the Wolfe Line Search Rules to Satisfy Second-Order Optimally Conditions in Unconstrained Optimization

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Abstract

The line search method incorporating the Wolfe conditions is modified to ensure that a descent algorithm terminates in a finite number of steps at an approximate stationary point where the second-order conditions of optimality are satisfied. A simple procedure based on conjugate directions is proposed to determine directions of negative curvature.

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References

  1. Wolfe, P., Convergence Conditions for Ascent Methods, SIAM Review, Vol. 11, pp. 226–235, 1969.

    Google Scholar 

  2. Wolfe, P., Convergence Conditions for Ascent Methods, II: Some Corrections, SIAM Review, Vol. 13, pp. 185–188, 1971.

    Google Scholar 

  3. Dixon, L. C. W., Introduction to Numerical Optimization, Nonlinear Optimization: Theory and Algorithms, Edited by L. C. W. Dixon, E. Spedicato, and G. P. Szego, Birkhauser, Basel, Switzerland, pp. 2–30, 1980.

    Google Scholar 

  4. Fiacco, A. V., and McCormick, G. P., Nonlinear Programming: Sequential Unconstrained Minimization Technique, John Wiley and Sons, New York, New York, 1968.

    Google Scholar 

  5. Fletcher, R., and Freeman, T. L., A Modified Newton Method for Minimization, Journal of Optimization Theory and Applications, Vol. 23, pp. 357–372, 1977.

    Google Scholar 

  6. McCormick, G. P., A Modification of Armijo's Step Rule for Negative Curvature, Mathematical Programming, Vol. 13, pp. 111–115, 1977.

    Google Scholar 

  7. More, J. J., and Sorensen, D. C., On the Use of Directions of Negative Curvature in a Modified Newton Method, Mathematical Programming, Vol. 16, pp. 1–20, 1979.

    Google Scholar 

  8. Goldfarb, D., Curvilinear Path Steplength Algorithms for Minimization Which Use Directions of Negative Curvature, Mathematical Programming, Vol. 18, pp. 31–40, 1980.

    Google Scholar 

  9. Bunch, J. R., and Parlett, B. N., Direct Methods for Solving Symmetric Indefinite Systems of Linear Equations, SIAM Journal of Numerical Analysis, Vol. 8, pp. 639–655, 1971.

    Google Scholar 

  10. Avriel, M., Nonlinear Programming: Analysis and Methods, Prentice-Hall, Englewood Cliffs, New Jersey, 1976.

    Google Scholar 

  11. Bartholomew-Biggs, M. C., A Globally Convergent Version of REQP for Constrained Minimization, IMA Journal of Numerical Analysis, Vol. 8, pp. 253–271, 1988.

    Google Scholar 

  12. Anonymous, Optima Manual, Issue No. 8, Numerical Optimization Centre, Hatfield Polytechnic, Hertfordshire, England, 1989.

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Zhou, W., Chalabi, Z.S. Modifications of the Wolfe Line Search Rules to Satisfy Second-Order Optimally Conditions in Unconstrained Optimization. Journal of Optimization Theory and Applications 96, 235–246 (1998). https://doi.org/10.1023/A:1022683605258

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  • DOI: https://doi.org/10.1023/A:1022683605258

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