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A modified Levenberg–Marquardt method with line search for nonlinear equations

Listed author(s):
  • Liang Chen

    ()

    (Huaibei Normal University)

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    Abstract In this paper, we propose a new modified Levenberg–Marquardt method for nonlinear equations. At every iteration, not only a general LM step, but also two additional approximate LM steps which save the Jacobian calculation and employ line search for the step size, are computed. Under the error bound condition which is weaker than nonsingularity, this method is shown to be of fourth convergence order. Numerical results show that the new method is very efficient and could save many calculations of the Jacobian.

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    File URL: http://link.springer.com/10.1007/s10589-016-9852-y
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    Article provided by Springer in its journal Computational Optimization and Applications.

    Volume (Year): 65 (2016)
    Issue (Month): 3 (December)
    Pages: 753-779

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    Handle: RePEc:spr:coopap:v:65:y:2016:i:3:d:10.1007_s10589-016-9852-y
    DOI: 10.1007/s10589-016-9852-y
    Contact details of provider: Web page: http://www.springer.com

    Order Information: Web: http://www.springer.com/math/journal/10589

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