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Abstract

Four particular examples of methods within our framework are explored in detail, including generalized line-search and trust-region methods, as well as a general pattern-search method and the classic Nelder–Mead method. In each case, we consider descent, and develop conditions ensuring lower-diminishing target-gaps and an approach to stationarity.

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References

  1. Audet, C., Dennis, J.E.: Analysis of generalized pattern searches. SIAM J. Optim. 13, 889–903 (2002)

    Article  MathSciNet  Google Scholar 

  2. Ciarlet, P.G., Raviart, P.-A.: General Lagrange and Hermite interpolation in n with applications to finite element methods. Arch. Rational Mech. Anal. 46, 177–199 (1972)

    Article  MathSciNet  MATH  Google Scholar 

  3. Conn, A.R., Scheinberg, K., Vicente, L.: Introduction to derivative-free optimization. In: MPS-SIAM Optimization series. SIAM, Philadelphia, USA (2008)

    Google Scholar 

  4. Kolda, T.G., Lewis, R.M., Torczon, V.: Optimization by direct search: new perspectives on some classical and modern methods. SIAM Rev. 45, 385–482 (2003)

    Article  MathSciNet  MATH  Google Scholar 

  5. Lagarias, J.C., Reeds, J.A., Wright, M.H., Wright, P.E.: Convergence properties of the Nelder-Mead simplex method in low dimensions. SIAM J. Optim. 9, 112–147 (1998)

    Article  MathSciNet  MATH  Google Scholar 

  6. McKinnon, K.I.M.: Convergence of the Nelder-Mead simplex method to a nonstationary point. SIAM J. Optim. 9, 148–158 (1998)

    Article  MathSciNet  MATH  Google Scholar 

  7. Rockafellar, R.T., Wets, R.J.-B.: Variational Analysis. Springer, Berlin (1998)

    Book  MATH  Google Scholar 

  8. Torczon, V.: On the convergence of pattern search algorithms. SIAM J. Optim. 7, 1–25 (1997)

    Article  MathSciNet  MATH  Google Scholar 

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© 2012 Adam B. Levy

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Levy, A.B. (2012). Particular Reduce-or-Retreat Methods. In: Stationarity and Convergence in Reduce-or-Retreat Minimization. SpringerBriefs in Optimization. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-4642-2_2

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