Abstract
In this paper, a Gauss-Newton method is proposed for the solution of large-scale nonlinear least-squares problems, by introducing a truncation strategy in the method presented in [9]. First, sufficient conditions are established for ensuring the convergence of an iterative method employing a truncation scheme for computing the search direction, as approximate solution of a Gauss-Newton type equation. Then, a specific truncated Gauss-Newton algorithm is described, whose global convergence is ensured under standard assumptions, together with the superlinear convergence rate in the zero-residual case. The results of a computational experimentation on a set of standard test problems are reported.
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References
D.P. Bertsekas, Constrained Optimization and Lagrange Multiplier Methods, Academic Press: New York, NY, 1980.
H. Dan, N. Yamashita, and M. Fukushima, “Convergence properties of the inexact Levenberg-Marquardt method under local error bound,” Optimization Methods and Software, vol. 17, pp. 605–626, 2002.
R.S. Dembo, S.C. Eisenstat, and T. Steihaug, “Inexact Newton methods,” SIAM Journal on Numerical Analysis, vol. 19, pp. 400–408, 1982.
R.S. Dembo and T. Steihaug, “Truncated-Newton algorithms for large-scale unconstrained optimization,” Mathematical Programming, vol. 26, pp. 190–212, 1983.
J.E. Dennis Jr. and R.B. Schnabel, Numerical Methods for Unconstrained Optimization and Nonlinear Equations, Prentice-Hall, Inc., Englewood Cliffs: New Jersey, 1983.
P.E. Gill and W. Murray, “Algorithms for the solution of the nonlinear least-squares problems,” SIAM Journal on Numerical Analysis, vol. 15, pp. 977–992, 1978.
L. Grippo, F. Lampariello and S. Lucidi, “A truncated Newton method with nonmonotone line search for unconstrained optimization,” Journal of Optimization Theory and Applications, vol. 60, pp. 401–419, 1989.
M.R. Hestenes, Conjugate Direction Methods in Optimization, Springer Verlag: New York, 1980.
F. Lampariello and M. Sciandrone, “Use of the minimum-norm search direction in a nonmonotone version of the Gauss-Newton method,” Journal of Optimization Theory and Applications, vol. 119, pp. 65–82, 2003.
L. Lukšan and J. Vlček, “Test Problems for Unconstrained Optimization,” Academy of Sciences of the Czech Republic, Institute of Computer Science, Technical Report no. 897, November 2003.
J.J. Moré, B.S. Garbow, and K.E. Hillstrom, “Testing unconstrained optimization software,” ACM Trans. Math. Software, vol. 7, pp. 17–41, 1981.
S.G. Nash, “A survey of truncated-Newton methods,” Journal of Computational and Applied Mathematics, vol. 124, pp. 45–59, 2000.
J. Nocedal and S.J. Wright, Numerical Optimization, Springer Series in Operations Research: Springer-Verlag, 1999.
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Fasano, G., Lampariello, F. & Sciandrone, M. A Truncated Nonmonotone Gauss-Newton Method for Large-Scale Nonlinear Least-Squares Problems. Comput Optim Applic 34, 343–358 (2006). https://doi.org/10.1007/s10589-006-6444-2
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DOI: https://doi.org/10.1007/s10589-006-6444-2