JSOSolvers.jl: Unconstrained and bound-constrained optimization solvers

The Journal of Open Source Software 2026 Open access

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Authors: Tangi Migot, Dominique Monnet, Dominique Orban, Abel Soares Siqueira
DOI: 10.21105/joss.09467
Cited by: 0
References: 20

Abstract

JSOSolvers.jl is a collection of Julia (Bezanson et al., 2017) optimization solvers for nonlinear, potentially nonconvex, continuous optimization problems that are unconstrained or boundconstrained: minimizewhere 𝑓 ∢ ℝ 𝑛 β†’ ℝ is a continuously differentiable function, with β„“ ∈ (ℝ βˆͺ {-∞}) 𝑛 , and

Fields of Study & Subjects

Advanced Optimization Algorithms Research Metaheuristic Optimization Algorithms Research Optimization and Variational Analysis

Publication details

Journal / source
The Journal of Open Source Software
Volume
11
Issue
117
Pages
9467–9467
Publication date
14 January 2026