tag:joss.theoj.org,2005:/papers/tagged/numerical%20optimization
Journal of Open Source Software
2023-02-03T19:16:38Z
Journal of Open Source Software
https://joss.theoj.org
tag:joss.theoj.org,2005:Paper/3599
2023-02-03T19:16:38Z
2023-02-04T00:00:45Z
ParMOO: A Python library for parallel multiobjective simulation optimization
accepted
v0.1.0
2022-05-13 00:36:38 UTC
82
2023-02-03 19:16:38 UTC
8
2023
4468
Tyler
H.
Chang
Mathematics and Computer Science Division, Argonne National Laboratory, USA
0000-0001-9541-7041
Stefan
M.
Wild
Applied Mathematics and Computational Research Division, Lawrence Berkeley National Laboratory, USA, Mathematics and Computer Science Division, Argonne National Laboratory, USA, NAISE, Northwestern University, USA
0000-0002-6099-2772
10.21105/joss.04468
https://doi.org/10.5281/zenodo.7600559
Python
https://joss.theoj.org/papers/10.21105/joss.04468.pdf
numerical optimization, multiobjective optimization, response surface methodology, parallel simulations
tag:joss.theoj.org,2005:Paper/3238
2022-02-11T21:04:50Z
2022-02-12T00:00:52Z
DCISolver.jl: A Julia Solver for Nonlinear Optimization using Dynamic Control of Infeasibility
accepted
v0.2.4
2021-12-07 05:10:01 UTC
70
2022-02-11 21:04:50 UTC
7
2022
3991
Tangi
Migot
GERAD and Department of Mathematics and Industrial Engineering, Polytechnique Montréal, QC, Canada.
0000-0001-7729-2513
Dominique
Orban
GERAD and Department of Mathematics and Industrial Engineering, Polytechnique Montréal, QC, Canada.
0000-0002-8017-7687
Abel
Soares
Siqueira
Netherlands eScience Center, Amsterdam, NL
0000-0003-4451-281X
10.21105/joss.03991
https://doi.org/10.5281/zenodo.6040222
Julia
https://joss.theoj.org/papers/10.21105/joss.03991.pdf
nonlinear optimization, numerical optimization, large-scale optimization, constrained optimization, nonlinear programming
tag:joss.theoj.org,2005:Paper/2898
2022-02-10T21:42:44Z
2022-02-14T20:29:44Z
Manopt.jl: Optimization on Manifolds in Julia
accepted
0.3.11
2021-07-22 13:55:53 UTC
70
2022-02-10 21:42:44 UTC
7
2022
3866
Ronny
Bergmann
Norwegian University of Science and Technology, Department of Mathematical Sciences, Trondheim, Norway
0000-0001-8342-7218
10.21105/joss.03866
https://doi.org/10.5281/zenodo.6019027
Julia
https://joss.theoj.org/papers/10.21105/joss.03866.pdf
Riemannian manifolds, optimization, numerical analysis
tag:joss.theoj.org,2005:Paper/1588
2020-08-31T19:30:32Z
2021-02-15T11:30:52Z
dfba: Software for efficient simulation of dynamic flux-balance analysis models in Python
accepted
v0.1.6
2020-05-20 11:22:26 UTC
52
2020-08-31 19:30:32 UTC
5
2020
2342
David
S.
Tourigny
Columbia University Irving Medical Center, 630 West 168th Street, New York, NY 10032 USA
0000-0002-3987-8078
Jorge
Carrasco
Muriel
Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Building 220, Kemitorvet, 2800 Kongens Lyngby, Denmark
0000-0001-7365-0299
Moritz
E.
Beber
Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Building 220, Kemitorvet, 2800 Kongens Lyngby, Denmark
0000-0003-2406-1978
10.21105/joss.02342
https://doi.org/10.5281/zenodo.4009224
Python
https://joss.theoj.org/papers/10.21105/joss.02342.pdf
Mathematical optimization, Linear programming, Numerical simulation, Multi-scale metabolic modeling, C++
tag:joss.theoj.org,2005:Paper/605
2018-10-23T19:00:50Z
2021-02-15T11:33:03Z
hIPPYlib: An Extensible Software Framework for Large-Scale Inverse Problems
accepted
2.1.0
2018-08-27 16:51:19 UTC
30
2018-10-23 19:00:50 UTC
3
2018
940
Umberto
Villa
Institute for Computational Engineering & Sciences, The University of Texas at Austin
Noemi
Petra
Applied Mathematics, School of Natural Sciences, University of California, Merced
Omar
Ghattas
Institute for Computational Engineering & Sciences, Department of Mechanical Engineering, and Department of Geological Sciences, The University of Texas at Austin
10.21105/joss.00940
https://doi.org/10.5281/zenodo.596931
Python, C++, Jupyter Notebook
https://joss.theoj.org/papers/10.21105/joss.00940.pdf
Infinite-dimensional inverse problems, adjoint-based methods, numerical optimization, Bayesian inference, uncertainty quantification, PDE toolkit