Masoud Ahookhosh

Orcid: 0000-0003-4206-9789

According to our database1, Masoud Ahookhosh authored at least 22 papers between 2010 and 2024.

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

Timeline

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Bibliography

2024
Smoothing unadjusted Langevin algorithms for nonsmooth composite potential functions.
Appl. Math. Comput., March, 2024

Matrix Completion via Nonsmooth Regularization of Fully Connected Neural Networks.
CoRR, 2024

2022
Bregman Finito/MISO for Nonconvex Regularized Finite Sum Minimization without Lipschitz Gradient Continuity.
SIAM J. Optim., September, 2022

Block Bregman Majorization Minimization with Extrapolation.
SIAM J. Math. Data Sci., 2022

Finding zeros of Hölder metrically subregular mappings via globally convergent Levenberg-Marquardt methods.
Optim. Methods Softw., 2022

2021
A Bregman Forward-Backward Linesearch Algorithm for Nonconvex Composite Optimization: Superlinear Convergence to Nonisolated Local Minima.
SIAM J. Optim., 2021

A Block Inertial Bregman Proximal Algorithm for Nonsmooth Nonconvex Problems with Application to Symmetric Nonnegative Matrix Tri-Factorization.
J. Optim. Theory Appl., 2021

Block Alternating Bregman Majorization Minimization with Extrapolation.
CoRR, 2021

Multi-block Bregman proximal alternating linearized minimization and its application to orthogonal nonnegative matrix factorization.
Comput. Optim. Appl., 2021

2020
A block inertial Bregman proximal algorithm for nonsmooth nonconvex problems.
CoRR, 2020

2019
Accelerated first-order methods for large-scale convex optimization: nearly optimal complexity under strong convexity.
Math. Methods Oper. Res., 2019

Multi-block Bregman proximal alternating linearized minimization and its application to sparse orthogonal nonnegative matrix factorization.
CoRR, 2019

Local convergence of the Levenberg-Marquardt method under Hölder metric subregularity.
Adv. Comput. Math., 2019

2017
An improved adaptive trust-region algorithm.
Optim. Lett., 2017

Optimal subgradient algorithms for large-scale convex optimization in simple domains.
Numer. Algorithms, 2017

An optimal subgradient algorithm for large-scale bound-constrained convex optimization.
Math. Methods Oper. Res., 2017

2014
An inexact line search approach using modified nonmonotone strategy for unconstrained optimization.
Numer. Algorithms, 2014

2013
Two derivative-free projection approaches for systems of large-scale nonlinear monotone equations.
Numer. Algorithms, 2013

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

2012
An efficient nonmonotone trust-region method for unconstrained optimization.
Numer. Algorithms, 2012

2011
Combination Adaptive Trust Region Method by Non-Monotone Strategy for unconstrained nonlinear Programming.
Asia Pac. J. Oper. Res., 2011

2010
A Nonmonotone trust region method with adaptive radius for unconstrained optimization problems.
Comput. Math. Appl., 2010


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