| On the Fletcher-Reeves Method M Al-Baali Dept. of Mathematics, University of Dundee, Scotland, Research Report NA/79, 1984 | 793* | 1984 |
| Variational methods for non-linear least-squares M Al-Baali, R Fletcher Technical Report NA/76, 1984 | 183 | 1984 |
| An efficient line search for nonlinear least squares M Al-Baali, R Fletcher Technical Report NA/78, 1984 | 109 | 1984 |
| Broyden's quasi-Newton methods for a nonlinear system of equations and unconstrained optimization: a review and open problems M Al-Baali, E Spedicato, F Maggioni Optimization Methods and Software 29 (5), 937-954, 2014 | 84 | 2014 |
| A family of three-term conjugate gradient methods with sufficient descent property for unconstrained optimization M Al-Baali, Y Narushima, H Yabe Computational Optimization and Applications 60, 89-110, 2015 | 74 | 2015 |
| Numerical experience with a class of self-scaling quasi-Newton algorithms M Al-Baali Journal of optimization theory and applications 96, 533-553, 1998 | 60 | 1998 |
| Improved Hessian approximations for the limited memory BFGS method M Al‐Baali Numerical Algorithms 22 (1), 99-112, 1999 | 44 | 1999 |
| A positive Barzilai–Borwein-like stepsize and an extension for symmetric linear systems YH Dai, M Al-Baali, X Yang Numerical Analysis and Optimization: NAO-III, Muscat, Oman, January 2014, 59-75, 2015 | 37 | 2015 |
| Global and superlinear convergence of a restricted class of self-scaling methods with inexact line searches, for convex functions M Al-Baali Computational Optimization and Applications 9, 191-203, 1998 | 35 | 1998 |
| On the order of convergence of preconditioned nonlinear conjugate gradient methods M Al-Baali, R Fletcher SIAM Journal on Scientific Computing 17 (3), 658-665, 1996 | 27 | 1996 |
| Variational quasi-Newton methods for unconstrained optimization M Al-Baali Journal of optimization theory and applications 77, 127-143, 1993 | 27 | 1993 |
| Extra updates for the BFGS method M Al-Baali Optimization Methods and Software 13 (3), 159-179, 2000 | 26 | 2000 |
| On practical modifications of the quasi-Newton BFGS method M Al-Baali, L Grandinetti Adv. Model. Optim 11 (1), 63-76, 2009 | 25 | 2009 |
| Damped techniques for the limited memory BFGS method for large-scale optimization M Al-Baali, L Grandinetti, O Pisacane Journal of Optimization Theory and Applications 161, 688-699, 2014 | 21 | 2014 |
| Analysis of a family of self-scaling quasi-Newton Methods M Al-Baali Dept. of Mathematics and Computer Science, UAE University, UAE, Tech. Report, 1993 | 20 | 1993 |
| On the behaviour of a combined extra-updating/self-scaling BFGS method M Al-Baali Journal of computational and applied mathematics 134 (1-2), 269-281, 2001 | 18 | 2001 |
| A combined class of self-scaling and modified quasi-Newton methods M Al-Baali, H Khalfan Computational Optimization and Applications 52, 393-408, 2012 | 15 | 2012 |
| Exploiting damped techniques for nonlinear conjugate gradient methods M Al-Baali, A Caliciotti, G Fasano, M Roma Mathematical Methods of Operations Research 86, 501-522, 2017 | 13 | 2017 |
| An overview of some practical quasi-Newton methods for unconstrained optimization M Al-Baali, H Khalfan Sultan Qaboos University Journal for Science [SQUJS] 12 (2), 199-209, 2007 | 12 | 2007 |
| Damped techniques for enforcing convergence of quasi-Newton methods M Al-Baali Optimization Methods and Software 29 (5), 919-936, 2014 | 11 | 2014 |
Ornella PisacaneResearcher, Università Politecnica delle Marche在 univpm.it 的电子邮件经过验证
Ornella PisacaneResearcher, Università Politecnica delle Marche在 univpm.it 的电子邮件经过验证