Nesterov step reduced gradient algorithm for convex programming problems

A El Mouatasim, Y Farhaoui - Big Data and Networks Technologies 3, 2020 - Springer
In this paper, we proposed an implementation of method of speed reduced gradient
algorithm for optimizing a convex differentiable function subject to linear equality constraints …

[PDF][PDF] Conditional gradient and bisection algorithms for non-convex optimization problem with random perturbation

A El Mouatasim, A Ettahiri - Appl. Math. E-Notes, 2022 - researchgate.net
In this paper, we propose an implementation of stochastic perturbation of conditional
gradient and bisection (SPCGB) method (aka Frank-Wolfe method) for solving non-convex …

Implementation of reduced gradient with bisection algorithms for non-convex optimization problem via stochastic perturbation

AE Mouatasim - Numerical Algorithms, 2018 - Springer
In this paper, we proposed an implementation of stochastic perturbation of reduced gradient
and bisection (SPRGB) method for optimizing a non-convex differentiable function subject to …

RPCGB Method for Large-Scale Global Optimization Problems

A Ettahiri, A El Mouatasim - Axioms, 2023 - mdpi.com
In this paper, we propose a new approach for optimizing a large-scale non-convex
differentiable function subject to linear equality constraints. The proposed method, RPCGB …

[PDF][PDF] infinite components; and {min f (x) st Ax= b

S Lu - researchgate.net
One possible numerical method to solve problem (1) is the conditional gradient with
bisection (CGB) method. This method generates a sequence of feasible points {xt} t≥ 0 …

Stochastic perturbation of Frank-Wolfe method for nonconvex programming problems

A El Mouatasim, A Ettahiri - Annals of the University of Craiova …, 2020 - inf.ucv.ro
In this paper, we present a random perturbation of Frank-Wolfe method (aka Conditional
gradient method) for solving nonconvex differentiable programming under linear …