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On the local convergence of a derivative-free algorithm for least-squares minimization

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  • Hongchao Zhang & Andrew Conn, 2012. "On the local convergence of a derivative-free algorithm for least-squares minimization," Computational Optimization and Applications, Springer, vol. 51(2), pages 481-507, March.
    • Handle: RePEc:spr:coopap:v:51:y:2012:i:2:p:481-507
    DOI: 10.1007/s10589-010-9367-x
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    Cited by:

    1. Wang, Peng & Zhu, Detong, 2016. "An inexact derivative-free Levenberg–Marquardt method for linear inequality constrained nonlinear systems under local error bound conditions," Applied Mathematics and Computation, Elsevier, vol. 282(C), pages 32-52.
    2. E. G. Birgin & J. M. Martínez, 2022. "Accelerated derivative-free nonlinear least-squares applied to the estimation of Manning coefficients," Computational Optimization and Applications, Springer, vol. 81(3), pages 689-715, April.
    3. Nicholas I. M. Gould & Tyrone Rees & Jennifer A. Scott, 2019. "Convergence and evaluation-complexity analysis of a regularized tensor-Newton method for solving nonlinear least-squares problems," Computational Optimization and Applications, Springer, vol. 73(1), pages 1-35, May.

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