JSOSuite.jl: Solving continuous optimization problems with JuliaSmoothOptimizers, Tangi Migot, Dominique Orban, Abel S. Siqueira, Proceedings of the JuliaCon Conferences, 6(63), 161, 2024., 10.21105/jcon.00161
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/j.cam.2022.114525
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
Krylov.jl: Empowering Performance and Portability in High-Performance Computing, Alexis Montoison, LANS Seminar, Chicago, USA, 2023-Dec-13
Nonlinear Optimization with the Julia Smooth Optimizers packages, Abel Soares Siqueira, JuliaCon Local, Eindhoven, Netherlands, 2023-Dec-1
Julia Smooth Optimizers: Streamlined research and recent developments of the ecosystem, Abel Soares Siqueira, Journées Julia et Optimisation, Paris, France, 2023-Oct-6
Optimization Solver in Julia Smooth Optimizers, Tangi Migot, JuliaCon 2023, MIT, 2023-Jul-28
On solving optimal control problems in Julia, Jean-Baptiste Caillau, Olivier Cots, Joseph Gergaud, and Pierre Martinon, JuliaCon 2023, MIT, 2023-Jul-28
JuliaHSL: the ultimate collection for large-scale scientific computation, Alexis Montoison, GERAD seminar, Montreal, Canada, 2023-Jul-4
How to maintain a large Julia package ecosystem, Abel Soares Siqueira, Julia Eindhoven meetup, 2023-Jan-19
Introduction to Julia – Krylov.jl, Alexis Montoison and Dominique Orban, STFC-Rutherford Appleton Laboratory, England, 2022-Dec-8
The JuliaSmoothOptimizers (JSO) Organization, Dominique Orban, JuliaCon / JuMP-dev 2022, 2022-Jul-28
PDE-constrained optimization using JuliaSmoothOptimizers, Tangi Migot, JuliaCon / JuMP-dev 2022, 2022-Jul-28
A multi-precision algorithm for convex quadratic optimization, Geoffroy Leconte, JuliaCon / JuMP-dev 2022, 2022-Jul-27
Krylov.jl: A Julia basket of hand-picked Krylov solvers, Alexis Montoison and Dominique Orban, LA/Opt Seminar, ICME, Stanford University, 2022-Apr-6
GPMR: An Iterative Method for Unsymmetric Partitioned Linear Systems, Alexis Montoison and Dominique Orban, 17th Copper Mountain Conference On Iterative Methods, 2022-Apr-4
A roadmap for JuliaSmoothOptimizers and its NLPModels API, Tangi Migot and Alexis Montoison, JuMP nonlinear developers call (online)., 2022-Feb-15
Krylov.jl : une bibliothèque Julia pour l’algèbre linéaire numérique, Alexis Montoison, IVADO Digital October (online)., 2021-Nov-16
Large scale optimization solvers in Julia for data science, Tangi Migot, IVADO Digital October (online)., 2021-Nov-15
TriCG and TriMR: Two Iterative Methods for Symmetric Quasi-Definite Systems, Alexis Montoison and Dominique Orban, SIAM Conference on Applied Linear Algebra (LA21), 2021-May-21
Otimização na Linguagem Julia, Abel S. Siqueira, Palestra no Congresso Internacional de Biomassa - 4° Expo Biomassa - Curitiba/PR, Brazil., 2019-Jun-26
JuliaSmoothOptimizers, Abel S. Siqueira, Talk at PPGM - UFPR. Curitiba/PR, Brazil., 2019-May-31
JuliaSmoothOptimizers, Abel S. Siqueira, Tutorial: Modeling and optimization tools in Julia: An introduction to JuMP and JSO. GERAD. Montreal/QC, Canada, 2019-Feb-7
A Regularized Interior-Point Method for Constrained Nonlinear Least Squares, Abel S. Siqueira and Dominique Orban, XII Brazilian Workshop on Continuous Optimization. Iguaçu Falls, Brazil., 2018-Jul-23
Developing new optimization methods with packages from the JuliaSmoothOptimizers organization, Abel S. Siqueira and Dominique Orban, Second Annual JuMP-dev Workshop. Bordeaux, France, 2018-Jun-28
Iterative Methods with an Error Minimization Property, Dominique Orban, Ron Estrin and Michael A. Saunders, LA/Opt Seminar, ICME, Stanford University, 2018-May-31
Otimização Não-Linear na Linguagem Julia, Abel S. Siqueira, Seminários de Análise Convexa e Otimização. UFSC, Florianópolis/SC, Brasil, 2017-Dec-1
A Workflow for Designing Optimization Methods in the Julia Language, Abel S. Siqueira and Dominique Orban, 2016 Optimization Days. Montréal, Canada, 2016-May-4