Saman Babaie-Kafaki
Orcid: 0000-0003-0122-8384
According to our database1,
Saman Babaie-Kafaki
authored at least 50 papers
between 2010 and 2024.
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Bibliography
2024
A class of CG algorithms overcoming jamming of the iterative solving process and its application in image restoration.
J. Comput. Appl. Math., May, 2024
Eigenvalue Analyses on the Memoryless Davidon-Fletcher-Powell Method Based on a Spectral Secant Equation.
J. Optim. Theory Appl., January, 2024
RAIRO Oper. Res., 2024
Int. J. Comput. Math., 2024
2023
A diagonally scaled Newton-type proximal method for minimization of the models with nonsmooth composite cost functions.
Comput. Appl. Math., December, 2023
A nonlinear mixed-integer programming approach for variable selection in linear regression model.
Commun. Stat. Simul. Comput., November, 2023
A nonmonotone ADMM-based diagonal quasi-Newton Update with Application to the compressive Sensing Problem.
Math. Model. Anal., October, 2023
Nonmonotone Quasi-Newton-based conjugate gradient methods with application to signal processing.
Numer. Algorithms, August, 2023
An Accelerated Three-Term Extension of a Descent Nonlinear Conjugate Gradient Method.
Asia Pac. J. Oper. Res., June, 2023
An approximate Newton-type proximal method using symmetric rank-one updating formula for minimizing the nonsmooth composite functions.
Optim. Methods Softw., May, 2023
A descent extension of a modified Polak-Ribière-Polyak method with application in image restoration problem.
Optim. Lett., March, 2023
RAIRO Oper. Res., January, 2023
2022
Comput. Appl. Math., September, 2022
Modified conjugate gradient method for solving sparse recovery problem with nonconvex penalty.
Signal Process., 2022
Improved high-dimensional regression models with matrix approximations applied to the comparative case studies with support vector machines.
Optim. Methods Softw., 2022
Dai-Liao extensions of a descent hybrid nonlinear conjugate gradient method with application in signal processing.
Numer. Algorithms, 2022
2020
A restart scheme for the Dai-Liao conjugate gradient method by ignoring a direction of maximum magnification by the search direction matrix.
RAIRO Oper. Res., 2020
2019
An adaptive nonmonotone trust region method based on a modified scalar approximation of the Hessian in the successive quadratic subproblems.
RAIRO Oper. Res., 2019
Two-parameter scaled memoryless BFGS methods with a nonmonotone choice for the initial step length.
Numer. Algorithms, 2019
A randomized nonmonotone adaptive trust region method based on the simulated annealing strategy for unconstrained optimization.
Int. J. Intell. Comput. Cybern., 2019
A hybrid scaling parameter for the scaled memoryless BFGS method based on the ℓ∞ matrix norm.
Int. J. Comput. Math., 2019
An optimal parameter choice for the Dai-Liao family of conjugate gradient methods by avoiding a direction of the maximum magnification by the search direction matrix.
4OR, 2019
2018
Numer. Algorithms, 2018
2017
A class of adaptive Dai-Liao conjugate gradient methods based on the scaled memoryless BFGS update.
4OR, 2017
2016
RAIRO Oper. Res., 2016
Optim. Lett., 2016
Numer. Algorithms, 2016
Hybridizations of genetic algorithms and neighborhood search metaheuristics for fuzzy bus terminal location problems.
Appl. Soft Comput., 2016
Asia Pac. J. Oper. Res., 2016
2015
A hybridization of the Hestenes-Stiefel and Dai-Yuan conjugate gradient methods based on a least-squares approach.
Optim. Methods Softw., 2015
A hybridization of the Polak-Ribière-Polyak and Fletcher-Reeves conjugate gradient methods.
Numer. Algorithms, 2015
On Optimality of the Parameters of Self-Scaling Memoryless Quasi-Newton Updating Formulae.
J. Optim. Theory Appl., 2015
2014
Optim. Lett., 2014
J. Comput. Appl. Math., 2014
Eur. J. Oper. Res., 2014
Comput. Math. Appl., 2014
4OR, 2014
2013
Optim. Methods Softw., 2013
Erratum to: Scaled memoryless BFGS preconditioned conjugate gradient algorithm for unconstrained optimization.
Optim. Methods Softw., 2013
Optim. Lett., 2013
A Note on the Global Convergence of the Quadratic Hybridization of Polak-Ribière-Polyak and Fletcher-Reeves Conjugate Gradient Methods.
J. Optim. Theory Appl., 2013
A modified scaled memoryless BFGS preconditioned conjugate gradient method for unconstrained optimization.
4OR, 2013
2012
A Quadratic Hybridization of Polak-Ribière-Polyak and Fletcher-Reeves Conjugate Gradient Methods.
J. Optim. Theory Appl., 2012
A note on the global convergence theorem of the scaled conjugate gradient algorithms proposed by Andrei.
Comput. Optim. Appl., 2012
An Efficient and Practically Robust Hybrid Metaheuristic Algorithm for Solving Fuzzy Bus Terminal Location Problems.
Asia Pac. J. Oper. Res., 2012
2011
Numer. Algorithms, 2011
Two effective hybrid metaheuristic algorithms for minimization of multimodal functions.
Int. J. Comput. Math., 2011
2010
J. Comput. Appl. Math., 2010