Mehiddin Al-Baali
Mehiddin Al-Baali
Professor of Mathematics, Sultan Qaboos University
Verified email at - Homepage
Cited by
Cited by
On the Fletcher-Reeves Method
M Al-Baali
Dept. of Mathematics, University of Dundee, Scotland, Research Report NA/79, 1984
Variational methods for non-linear least-squares
M Al-Baali, R Fletcher
Technical Report NA/76, 1984
An efficient line search for nonlinear least squares
M Al-Baali, R Fletcher
Technical Report NA/78, 1984
Numerical experience with a class of self-scaling quasi-Newton algorithms
M Al-Baali
Journal of optimization theory and applications 96 (3), 533-553, 1998
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
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 (1), 89-110, 2015
Improved Hessian approximations for the limited memory BFGS method
M Al‐Baali
Numerical Algorithms 22 (1), 99-112, 1999
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 (2), 191-203, 1998
Variational quasi-Newton methods for unconstrained optimization
M Al-Baali
Journal of optimization theory and applications 77 (1), 127-143, 1993
Extra updates for the BFGS method
M Al-Baali
Optimization Methods and Software 13 (3), 159-179, 2000
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
On practical modifications of the quasi-Newton BFGS method
M Al-Baali, L Grandinetti
Adv. Model. Optim 11 (1), 63-76, 2009
A positive Barzilai–Borwein-like stepsize and an extension for symmetric linear systems
YH Dai, M Al-Baali, X Yang
Numerical Analysis and Optimization, 59-75, 2015
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
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
A combined class of self-scaling and modified quasi-Newton methods
M Al-Baali, H Khalfan
Computational Optimization and Applications 52 (2), 393-408, 2012
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 (2), 688-699, 2014
Quasi-Newton algorithms for large-scale nonlinear least-squares
M Al-Baali
High Performance Algorithms and Software for Nonlinear Optimization, 1-21, 2003
An efficient class of switching type algorithms in the Broyden family
M Al-Baali
Optimization Methods and Software 4 (1), 29-46, 1994
Exploiting damped techniques for nonlinear conjugate gradient methods
M Al-Baali, A Caliciotti, G Fasano, M Roma
Mathematical Methods of Operations Research 86 (3), 501-522, 2017
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