New Basic Hessian Approximations for Large-Scale Nonlinear Least-Squares Optimization

Author:

Al-Siyabi Ahmed,Al-Baali Mehiddin

Publisher

Springer International Publishing

Reference17 articles.

1. Al-Baali, M.: New initial Hessian approximations for the limited memory BFGS method for large scale optimization. J. Fac. Sci. UAE Univ 14, 167–175 (1995)

2. Al-Baali, M.: Quasi-Newton algorithms for large-scale nonlinear least-squares. In: High Performance Algorithms and Software for Nonlinear Optimization, pp. 1–21. Springer, Boston (2003)

3. Al-Baali, M.: Damped techniques for enforcing convergence of quasi-Newton methods. Optim. Methods Softw. 29(5), 919–936 (2014)

4. Al-Baali, M., Conforti, D., Musmanno, R.: Computational experiments with scaled initial Hessian approximation for the Broyden family methods. Optimization 48(3), 375–389 (2000)

5. Al-Baali, M., Fletcher, R.: Variational methods for non-linear least-squares. J. Oper. Res. Soc. 36(5), 405–421 (1985)

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