Publications, talks and other references

If you use JSO, we ask that you cite us. In addition to any specific reference that may suggested by the packages you are using, we also ask you to cite JSO using the format given in Organization/CITATION.cff.

author = {Migot, Tangi and Orban, Dominique and Soares Siqueira, Abel and contributors},
license = {MPL-2.0},
month = feb,
title = {{The JuliaSmoothOptimizers Ecosystem for Numerical Linear Algebra and Optimization in Julia}},
doi = {10.5281/zenodo.2655082},
url = {},
year = {2024}


  • Iterative Solution of Symmetric Quasi-Definite Linear Systems, D. Orban, M. Arioli, SIAM, 2017., 10.1137/1.9781611974737

Articles (27)

  • Scalable adaptive cubic regularization methods, J.-P. Dussault, T. Migot, D. Orban, Mathematical Programming Series A, 2023., 10.1007/s10107-023-02007-6

  • Krylov.jl: A Julia basket of hand-picked Krylov methods, A. Montoison, D. Orban, Journal of Open Source Software, 8(89), 5187, 2023., 10.21105/joss.05187

  • GPMR: An Iterative Method for Unsymmetric Partitioned Linear Systems, A. Montoison, D. Orban, SIAM Journal on Matrix Analysis and Applications, 1(44), 293–311, 2023., 10.1137/21M1459265

  • Secant penalized BFGS: a noise robust quasi-Newton method via penalizing the secant condition, B. Irwin, E. Haber, Computational Optimimization and Applications, 84, 651–702, 2023., 10.1007/s10589-022-00448-x

  • Regularized Interior Point Methods for Constrained Optimization and Control, A. De Marchi, IFAC-PapersOnLine, 56(2), 1247–1252, 2023., 10.1016/j.ifacol.2023.10.1747

  • An adaptive stochastic sequential quadratic programming with differentiable exact augmented lagrangians, S. Na, M. Anitescu, M. Kolar, Mathematical Programming, 199, 721–791, 2023., 10.1007/s10107-022-01846-z

  • DCISolver.jl: A Julia Solver for Nonlinear Optimization using Dynamic Control of Infeasibility, T. Migot, D. Orban, A. S. Siqueira, Journal of Open Source Software, 7(70), 3991, 2022., 10.21105/joss.03991

  • PDENLPModels.jl: An NLPModel API for Optimization Problems with PDE-Constraints, T. Migot, D. Orban, A. S. Siqueira, Journal of Open Source Software, 7(80), 4736, 2022., 10.21105/joss.04736

  • A Proximal Quasi-Newton Trust-Region Method for Nonsmooth Regularized Optimization, A. Y. Aravkin, R. Baraldi, D. Orban, SIAM Journal on Optimization, 32(2), 900–929, 2022., 10.1137/21M1409536

  • An extended delayed weighted gradient algorithm for solving strongly convex optimization problems, R. Andreani, H. Oviedo, M. Raydan, L.D. Secchin, Journal of Computational and Applied Mathematics, 416, 114525, 2022., 10.1016/

  • A computationally informed realisation algorithm for lithium-ion batteries implemented with LiiBRA.jl, B. Planden, K. Lukow, P. Henshall, G. Collier, D. Morrey, Journal of Energy Storage, 55, 105637, 2022., 10.1016/j.est.2022.105637

  • PyCUTEst: an open source Python package of optimization test problems, J. Fowkes, L. Roberts, A. B\"urmen, Journal of Open Source Software, 7(78), 4377, 2022., 10.21105/joss.04377

  • Mathematical models and heuristic methods for the assembly line balancing problem with hierarchical worker assignment, , M. C. O. Moreira, International Journal of Production Research, 60(7), 2193–2211, 2022., 10.1080/00207543.2021.1884767

  • Frankwolfe.jl: A high-performance and flexible toolbox for frank–wolfe algorithms and conditional gradients, , S. Pokutta, INFORMS Journal on Computing, 34(5), 2611–2620, 2022., 10.1287/ijoc.2022.1191

  • TriCG and TriMR: Two Iterative Methods for Symmetric Quasi-definite Systems, A. Montoison, D. Orban, SIAM Journal on Scientific Computing, 43(4), A2502–A2525, 2021., 10.1137/20m1363030

  • Approximate solution of system of equations arising in interior-point methods for bound-constrained optimization, D. Ek, A. Forsgren, Computational Optimization and Applications, 79(1), 155–191, 2021., 10.1007/s10589-021-00265-8

  • Exact linesearch limited-memory quasi-Newton methods for minimizing a quadratic function, D. Ek, A. Forsgren, Computational Optimization and Applications, 79(3), 789–816, 2021., 10.1007/s10589-021-00277-4

  • Design and implementation of a modular interior-point solver for linear optimization, M. Tanneau, M. F. Anjos, A. Lodi, Mathematical Programming Computation, 13(3), 509–551, 2021., 10.1007/s12532-020-00200-8

  • The Referenced Vertex Ordering Problem: Theory, Applications, and Solution Methods, J. Omer, A. Mucherino, Open Journal of Mathematical Optimization, 2, 1–29, 2021., 10.5802/ojmo.8

  • A Unified Efficient Implementation of Trust-region Type Algorithms for Unconstrained Optimization, J.-P. Dussault, INFOR: Information Systems and Operational Research, 58(2), 290–309, 2020., 10.1080/03155986.2019.1624490

  • A Regularization Method for Constrained Nonlinear Least Squares, D. Orban, A. S. Siqueira, Computational Optimization and Applications, 76, 961–989, 2020., 10.1007/s10589-020-00201-2

  • BiLQ: An Iterative Method for Nonsymmetric Linear Systems with a Quasi-Minimum Error Property, A. Montoison, D. Orban, SIAM Journal on Matrix Analysis and Applications, 41(3), 1145–1166, 2020., 10.1137/19m1290991

  • LNLQ: An Iterative Method for Least-Norm Problems with an Error Minimization Property, R. Estrin, D. Orban, M. A. Saunders, SIAM Journal on Matrix Analysis, 40(3), 1102–1124, 2019., 10.1137/18M1194948

  • A Tridiagonalization Method for Symmetric Saddle-Point System, A. Buttari, D. Orban, D. Ruiz, D. Titley-Peloquin, SIAM Journal on Scientific Computing, 41(5), S409–S432, 2019., 10.1137/18M1194900

  • The Conjugate Residual Method in Linesearch and Trust-Region Methods, M.-A. Dahito, D. Orban, SIAM Journal on Optimization, 29(3), 1988–2025, 2019., 10.1137/18M1204255

  • LSLQ: An Iterative Method for Linear Least-Squares with an Error Minimization Property, R. Estrin, D. Orban, M. A. Saunders, SIAM Journal on Matrix Analysis, 40(1), 254–275, 2019., 10.1137/17M1113552

  • A note on robust descent in differentiable optimization, J.-P. Dussault, Operations Research Letters, 45(5), 530–532, 2017., 10.1016/j.orl.2017.08.009

In Proceedings (4)

  • Exploiting GPU/SIMD Architectures for Solving Linear-Quadratic MPC Problems, D. Cole, S. Shin, F. Pacaud, V. M. Zavala, M. Anitescu, In 2023 American Control Conference (ACC), 3995–4000, 2023.,

  • A consistently adaptive trust-region method, F. Hamad, O. Hinder, In Advances in Neural Information Processing Systems, 6640–6653, 2022. Curran Associates, Inc..,

  • A Julia Implementation of Algorithm NCL for Constrained Optimization, D. Ma, D. Orban, M. A. Saunders, In Numerical Analysis and Optimization, 153–182, 2021. Springer International Publishing., 10.1007/978-3-030-72040-7_8

  • Augmented Lagrangian methods as dynamical systems for constrained optimization, A. De Marchi, In 2021 60th IEEE Conference on Decision and Control, 6533–6538, 2021. IEEE., 10.1109/CDC45484.2021.9683199

Talks (25)

Classes (5)