Morteza Kimiaei

Orcid: 0000-0002-7973-3770

According to our database1, Morteza Kimiaei authored at least 18 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Globally linearly convergent nonlinear conjugate gradients without Wolfe line search.
Numer. Algorithms, December, 2024

Worst Case Complexity Bounds for Linesearch-Type Derivative-Free Algorithms.
J. Optim. Theory Appl., October, 2024

Effective matrix adaptation strategy for noisy derivative-free optimization.
Math. Program. Comput., September, 2024

An improvement of the Goldstein line search.
Optim. Lett., July, 2024

2023
New Subspace Method for Unconstrained Derivative-Free Optimization.
ACM Trans. Math. Softw., December, 2023

2022
A new limited memory method for unconstrained nonlinear least squares.
Soft Comput., 2022

LMBOPT: a limited memory method for bound-constrained optimization.
Math. Program. Comput., 2022

Efficient unconstrained black box optimization.
Math. Program. Comput., 2022

2019
Impulse noise removal by an adaptive trust-region method.
Soft Comput., 2019

A non-monotone pattern search approach for systems of nonlinear equations.
Int. J. Comput. Math., 2019

2018
Combining line search and trust-region methods for ℓ1-minimization.
Int. J. Comput. Math., 2018

2016
A trust-region approach with novel filter adaptive radius for system of nonlinear equations.
Numer. Algorithms, 2016

A trust-region method with improved adaptive radius for systems of nonlinear equations.
Math. Methods Oper. Res., 2016

Impulse noise removal based on new hybrid conjugate gradient approach.
Kybernetika, 2016

A limited memory quasi-Newton trust-region method for box constrained optimization.
J. Comput. Appl. Math., 2016

A line search trust-region algorithm with nonmonotone adaptive radius for a system of nonlinear equations.
4OR, 2016

2015
An efficient adaptive trust-region method for systems of nonlinear equations.
Int. J. Comput. Math., 2015

2013
An effective trust-region-based approach for symmetric nonlinear systems.
Int. J. Comput. Math., 2013


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