RegularizedOptimization.jl: A Julia framework for regularized and nonsmooth optimization

The Journal of Open Source Software 2026 Open access

Read full text
Authors: Maxence Gollier, Mohamed Laghdaf Habiboullah, Geoffroy Leconte, Robert Baraldi, Alberto De Marchi, Dominique Orban, Youssef Diouane
DOI: 10.21105/joss.09344
Cited by: 1
References: 10

Abstract

RegularizedOptimization.jl is a Julia package that implements families of quadratic regularization and trust-region methods for solving the nonsmooth optimization problem minimize

Fields of Study & Subjects

Advanced Optimization Algorithms Research Stochastic Gradient Optimization Techniques Metaheuristic Optimization Algorithms Research

Publication details

Journal / source
The Journal of Open Source Software
Publisher
The Open Journal
Volume
11
Issue
118
Pages
9344–9344
Publication date
15 February 2026
Language
EN